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DataPaper_eclipse20210610- Jupyter Notebook.html
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<!DOCTYPE html>
<html lang="fr"><head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
<meta charset="utf-8">
<title>ReadEclipseDAta - Jupyter Notebook</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<link rel="stylesheet" href="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/jquery-ui.css" type="text/css">
<link rel="stylesheet" href="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/jquery.css" type="text/css">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script type="text/javascript" src="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/MathJax.js" charset="utf-8"></script>
<script type="text/javascript">
// MathJax disabled, set as null to distinguish from *missing* MathJax,
// where it will be undefined, and should prompt a dialog later.
window.mathjax_url = "/static/components/MathJax/MathJax.js";
</script>
<link rel="stylesheet" href="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/bootstrap-tour.css" type="text/css">
<link rel="stylesheet" href="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/codemirror.css">
<link rel="stylesheet" href="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/style.css" type="text/css">
<link rel="stylesheet" href="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/override.css" type="text/css">
<link rel="stylesheet" href="" id="kernel-css" type="text/css">
<link rel="stylesheet" href="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/custom.css" type="text/css">
<script src="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/promise.js" type="text/javascript" charset="utf-8"></script>
<script src="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/react.js" type="text/javascript"></script>
<script src="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/react-dom.js" type="text/javascript"></script>
<script src="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/index.js" type="text/javascript"></script>
<script src="DataPaper_eclipse20210610-%20Jupyter%20Notebook_fichiers/require.js" type="text/javascript" charset="utf-8"></script>
<script>
require.config({
urlArgs: "v=20210608164927",
baseUrl: '/static/',
paths: {
'auth/js/main': 'auth/js/main.min',
custom : '/custom',
nbextensions : '/nbextensions',
kernelspecs : '/kernelspecs',
underscore : 'components/underscore/underscore-min',
backbone : 'components/backbone/backbone-min',
jed: 'components/jed/jed',
jquery: 'components/jquery/jquery.min',
json: 'components/requirejs-plugins/src/json',
text: 'components/requirejs-text/text',
bootstrap: 'components/bootstrap/dist/js/bootstrap.min',
bootstraptour: 'components/bootstrap-tour/build/js/bootstrap-tour.min',
'jquery-ui': 'components/jquery-ui/jquery-ui.min',
moment: 'components/moment/min/moment-with-locales',
codemirror: 'components/codemirror',
termjs: 'components/xterm.js/xterm',
typeahead: 'components/jquery-typeahead/dist/jquery.typeahead.min',
},
map: { // for backward compatibility
"*": {
"jqueryui": "jquery-ui",
}
},
shim: {
typeahead: {
deps: ["jquery"],
exports: "typeahead"
},
underscore: {
exports: '_'
},
backbone: {
deps: ["underscore", "jquery"],
exports: "Backbone"
},
bootstrap: {
deps: ["jquery"],
exports: "bootstrap"
},
bootstraptour: {
deps: ["bootstrap"],
exports: "Tour"
},
"jquery-ui": {
deps: ["jquery"],
exports: "$"
}
},
waitSeconds: 30,
});
require.config({
map: {
'*':{
'contents': 'services/contents',
}
}
});
// error-catching custom.js shim.
define("custom", function (require, exports, module) {
try {
var custom = require('custom/custom');
console.debug('loaded custom.js');
return custom;
} catch (e) {
console.error("error loading custom.js", e);
return {};
}
})
document.nbjs_translations = {"domain": "nbjs", "locale_data": {"nbjs": {"": {"domain": "nbjs"}, "Manually edit the JSON below to manipulate the metadata for this cell.": ["\u00c9diter manuellement le JSON ci-dessous pour manipuler les m\u00e9ta-donn\u00e9es de cette cellule"], "Manually edit the JSON below to manipulate the metadata for this notebook.": ["\u00c9diter manuellement le JSON ci-dessous pour manipuler les m\u00e9ta-donn\u00e9es de ce notebook."], " We recommend putting custom metadata attributes in an appropriately named substructure, so they don't conflict with those of others.": [" Il est recommand\u00e9 de placer les attributs personnalis\u00e9s de m\u00e9ta-donn\u00e9es dans une sous-structure nomm\u00e9e de mani\u00e8re appropri\u00e9e, afin qu'ils n'interf\u00e8rent pas avec ceux des autres."], "Edit the metadata": ["\u00c9diter les m\u00e9ta-donn\u00e9es"], "Edit Notebook Metadata": ["\u00c9diter les m\u00e9ta-donn\u00e9es du Notebook"], "Edit Cell Metadata": ["\u00c9diter les m\u00e9ta-donn\u00e9es de la cellule"], "Cancel": ["Annuler"], "Edit": ["\u00c9diter"], "OK": ["OK"], "Apply": ["Appliquer"], "WARNING: Could not save invalid JSON.": ["ATTENTION: Impossible de sauvegarder du JSON invalide."], "There are no attachments for this cell.": ["Il n'y a pas de pi\u00e8ce-jointe \u00e0 cette cellule."], "Current cell attachments": ["Pi\u00e8ce-jointes actuelles de la cellule"], "Attachments": ["Pi\u00e8ces jointes"], "Restore": ["Restaurer"], "Delete": ["Supprimer"], "Edit attachments": ["Modifier les pi\u00e8ces jointes"], "Edit Notebook Attachments": ["Modifier les pi\u00e8ces jointes du Notebook"], "Edit Cell Attachments": ["Modifier les pi\u00e8ces jointes de la cellule"], "Select a file to insert.": ["S\u00e9lectionner un fichier \u00e0 ins\u00e9rer."], "Select a file": ["S\u00e9lectionner un fichier"], "You are using Jupyter notebook.": ["Vous utilisez un notebook Jupyter."], "The version of the notebook server is: ": ["La version du serveur de notebook est : "], "The server is running on this version of Python:": ["Le serveur utilise la version de Python :"], "Waiting for kernel to be available...": ["En attente de disponibilit\u00e9 du noyau..."], "Server Information:": ["Information du serveur :"], "Current Kernel Information:": ["Information du Noyau courant :"], "Could not access sys_info variable for version information.": ["Impossible d'acc\u00e9der \u00e0 la variable sys_info pour l'information relative aux versions."], "Cannot find sys_info!": ["Impossible de trouver sys_info !"], "About Jupyter Notebook": ["\u00c0 propos de Jupyter Notebook"], "unable to contact kernel": ["impossible de joindre le noyau"], "toggle rtl layout": ["Changer le sens d'organisation de l'interface"], "Toggle the screen directionality between left-to-right and right-to-left": ["Changer le sens d'organisation des \u00e9l\u00e9ments d'interface entre gauche-\u00e0-droite et droite-\u00e0-gauche"], "edit command mode keyboard shortcuts": ["modifier les raccourcis clavier du mode commande"], "Open a dialog to edit the command mode keyboard shortcuts": ["Ouvrir un dialogue pour \u00e9diter les racourcis clavier du mode commande"], "restart kernel": ["red\u00e9marrer le noyau"], "restart the kernel (no confirmation dialog)": ["red\u00e9marrer le noyau (sans confirmation)"], "confirm restart kernel": ["confirmer le red\u00e9marrage du noyau"], "restart the kernel (with dialog)": ["red\u00e9marrer le noyau (avec confirmation)"], "restart kernel and run all cells": ["red\u00e9marrer le noyau et ex\u00e9cuter toutes les cellules"], "restart the kernel, then re-run the whole notebook (no confirmation dialog)": ["red\u00e9marrer le noyau, et r\u00e9-ex\u00e9cuter tout le notebook (sans confirmation)"], "confirm restart kernel and run all cells": ["confirmer le red\u00e9marrage du noyau et l'ex\u00e9cution des cellules"], "restart the kernel, then re-run the whole notebook (with dialog)": ["red\u00e9marrer le noyau, et r\u00e9-ex\u00e9cuter tout le notebook (sans confirmation)"], "restart kernel and clear output": ["red\u00e9marrer le noyau, et effacer les sorties"], "restart the kernel and clear all output (no confirmation dialog)": ["red\u00e9marrer le noyau et effacer les sorties (sans confirmation)"], "confirm restart kernel and clear output": ["confirmer le red\u00e9marrage du noyau et l'effacement des sorties"], "restart the kernel and clear all output (with dialog)": ["red\u00e9marrer le noyau et effacer les sorties (avec confirmation)"], "interrupt the kernel": ["interrompre le noyau"], "run cell and select next": ["ex\u00e9cuter la cellule et s\u00e9lectionner la suivante"], "run cell, select below": ["ex\u00e9cuter la cellule, s\u00e9lectionner la suivante"], "run selected cells": ["ex\u00e9cuter les cellules s\u00e9lectionn\u00e9es"], "run cell and insert below": ["ex\u00e9cuter la cellule et ins\u00e9rer apr\u00e8s"], "run all cells": ["ex\u00e9cuter toutes les cellules"], "run all cells above": ["ex\u00e9cuter toutes les cellules pr\u00e9c\u00e9dentes"], "run all cells below": ["Ex\u00e9cuter toutes les cellules suivantes"], "enter command mode": ["ouvrir le mode commande"], "insert image": ["ins\u00e9rer une image"], "cut cell attachments": ["couper les pi\u00e8ces-jointes de la cellule"], "copy cell attachments": ["copier les pi\u00e8ces-jointes de la cellule"], "paste cell attachments": ["coller les pi\u00e8ces-jointes de la cellule"], "split cell at cursor": ["s\u00e9parer la cellule au niveau du curseur"], "enter edit mode": ["activer le mode d'\u00e9dition"], "select previous cell": ["s\u00e9lectionner la cellule pr\u00e9c\u00e9dente"], "select cell above": ["s\u00e9lectionner la cellule pr\u00e9c\u00e9dente"], "select next cell": ["s\u00e9lectionner la cellule suivante"], "select cell below": ["s\u00e9lectionner la cellule suivante"], "extend selection above": ["\u00e9tendre la s\u00e9lection vers le haut"], "extend selected cells above": ["\u00e9tendre les cellules s\u00e9lectionn\u00e9es vers le haut"], "extend selection below": ["\u00e9tendre la s\u00e9lection vers le bas"], "extend selected cells below": ["\u00e9tendre les cellules s\u00e9lectionn\u00e9es vers le bas"], "cut selected cells": ["couper les cellules s\u00e9lectionn\u00e9es"], "copy selected cells": ["copier les cellules s\u00e9lectionn\u00e9es"], "paste cells above": ["coller les cellules avant"], "paste cells below": ["coller les cellules apr\u00e8s"], "insert cell above": ["ins\u00e9rer une cellule avant"], "insert cell below": ["ins\u00e9rer une cellule apr\u00e8s"], "change cell to code": ["transformer en cellule de code"], "change cell to markdown": ["transformer celllule en markdown"], "change cell to raw": ["transformer en texte brut (pour NBConvert)"], "change cell to heading 1": ["transformer en titre de niveau 1"], "change cell to heading 2": ["transformer en titre de niveau 2"], "change cell to heading 3": ["transformer en titre de niveau 3"], "change cell to heading 4": ["transformer en titre de niveau 4"], "change cell to heading 5": ["transformer en titre de niveau 5"], "change cell to heading 6": ["transformer en titre de niveau 6"], "toggle cell output": ["afficher/masquer la sortie de cellule"], "toggle output of selected cells": ["afficher/masquer la sortie des cellules s\u00e9lectionn\u00e9es"], "toggle cell scrolling": ["afficher/masquer la barre de d\u00e9filement de la sortie de la cellule"], "toggle output scrolling of selected cells": ["afficher/masquer la barre de d\u00e9filement des la sortie des cellules s\u00e9lectionn\u00e9es"], "clear cell output": ["effacer la sortie de la cellule"], "clear output of selected cells": ["effacer la sortie des cellules s\u00e9lectionn\u00e9es"], "move cells down": ["d\u00e9placer les cellules vers le bas"], "move selected cells down": ["d\u00e9placer les cellules s\u00e9lectionn\u00e9es vers le bas"], "move cells up": ["d\u00e9placer les cellules vers le haut"], "move selected cells up": ["d\u00e9placer les cellules s\u00e9lectionn\u00e9es vers le haut"], "toggle line numbers": ["afficher/masquer les num\u00e9ros de ligne"], "show keyboard shortcuts": ["afficher les raccourcis clavier"], "delete cells": ["supprimer les cellules"], "delete selected cells": ["supprimer les cellules s\u00e9lectionn\u00e9es"], "undo cell deletion": ["annuler la suppression de cellule"], "merge cell with previous cell": ["fusionner la cellule avec la pr\u00e9c\u00e9dente"], "merge cell above": ["fusionner la cellule avec les pr\u00e9c\u00e9dentes"], "merge cell with next cell": ["fusionner la cellule avec la suivante"], "merge cell below": ["fusionner la cellule avec les suivantes"], "merge selected cells": ["fusionnnner les cellules s\u00e9lectionn\u00e9es"], "merge cells": ["fusionnnner les cellules"], "merge selected cells, or current cell with cell below if only one cell is selected": ["fusionner les cellules s\u00e9lectionn\u00e9es, ou la cellule courante avec la suivante si une unique cellule est s\u00e9lectionn\u00e9e"], "show command pallette": ["afficher la palette de commandes"], "open the command palette": ["ouvrir la palette de commandes"], "toggle all line numbers": ["afficher/masquer tous les num\u00e9ros de ligne"], "toggles line numbers in all cells, and persist the setting": ["afficher/masquer les num\u00e9ros de ligne dans toutes ces cellules, et s'en souvenir dans les param\u00e8tres"], "show all line numbers": ["afficher/masquer tous les num\u00e9ros de ligne"], "show line numbers in all cells, and persist the setting": ["afficher les num\u00e9ros de ligne dans toutes les cellules, et s'en souvenir dans les param\u00e8tres"], "hide all line numbers": ["masquer tous les num\u00e9ros de ligne"], "hide line numbers in all cells, and persist the setting": ["masquer les num\u00e9ros de ligne dans toutes les cellules, et s'en souvenir dans les param\u00e8tres"], "toggle header": ["afficher/masquer l'en-t\u00eate"], "switch between showing and hiding the header": ["afficher/masquer l'en-t\u00eate"], "show the header": ["afficher l'en-t\u00eate"], "hide the header": ["masquer l'en-t\u00eate"], "toggle toolbar": ["afficher/masquer la barre d'outils"], "switch between showing and hiding the toolbar": ["afficher/masquer la barre d'outils"], "show the toolbar": ["afficher la barre d'outils"], "hide the toolbar": ["masquer la barre d'outils"], "close the pager": ["fermer le paginateur"], "ignore": ["ignorer"], "move cursor up": ["d\u00e9placer le curseur vers le haut"], "move cursor down": ["d\u00e9placer le curseur vers le bas"], "scroll notebook down": ["faire d\u00e9filer le notebook vers le bas"], "scroll notebook up": ["faire d\u00e9filer le notebook vers le haut"], "scroll cell center": ["faire d\u00e9filer la cellule courante au centre"], "Scroll the current cell to the center": ["Faire d\u00e9filer la cellule courante au centre"], "scroll cell top": ["faire d\u00e9filer la cellule en haut"], "Scroll the current cell to the top": ["Faire d\u00e9filer la cellule courante en haut"], "duplicate notebook": ["dupliquer le notebook"], "Create and open a copy of the current notebook": ["Cr\u00e9er et ouvrir une copie du notebook courant"], "trust notebook": ["faire confiance \u00e0 ce notebook"], "Trust the current notebook": ["Faire confiance au notebook courant"], "rename notebook": ["renommer le notebook"], "Rename the current notebook": ["Renommer le notebook courant"], "toggle all cells output collapsed": ["afficher/masquer toutes les sorties en mode compact"], "Toggle the hidden state of all output areas": ["Afficher/masquer toutes les sorties"], "toggle all cells output scrolled": ["afficher/masquer toutes les sorties en mode d\u00e9filement"], "Toggle the scrolling state of all output areas": ["Activer/d\u00e9sactiver le d\u00e9filement de toutes les sorties"], "clear all cells output": ["effacer le contenu de toutes les sorties de cellules"], "Clear the content of all the outputs": ["Effacer le contenu de toutes les sorties"], "save notebook": ["enregistrer le notebook"], "Save and Checkpoint": ["Cr\u00e9er une nouvelle sauvegarde"], "Warning: accessing Cell.cm_config directly is deprecated.": ["Attention : acc\u00e9der \u00e0 Cell.cm_config directement est d\u00e9pr\u00e9ci\u00e9."], "Unrecognized cell type: %s": ["Type de cellule non reconnu : %s"], "Unrecognized cell type": ["Type de cellule non reconnu"], "Error in cell toolbar callback %s": ["Erreur dans le callback %s de la barre d'outil de cellule"], "Clipboard types: %s": ["Types de donn\u00e9es dans le presse-papier : %s"], "Dialog for paste from system clipboard": ["Bo\u00eete de dialogue pour coller depuis le presse-papier du syst\u00e8me"], "Ctrl-V": ["Ctrl-V"], "Cmd-V": ["Cmd-V"], "Press %s again to paste": ["Appuyer sur %s \u00e0 nouveau pour coller"], "Why is this needed? ": ["Pourquoi ce comportement ?"], "We can't get paste events in this browser without a text box. ": ["Il n'est pas possible de capturer les \u00e9v\u00e8nements \u00ab coller \u00bb dans le navigateur sans champ de texte"], "There's an invisible text box focused in this dialog.": ["Cette bo\u00eete de dialogue contient un champ de texte invisible."], "%s to paste": ["%s pour coller"], "Can't execute cell since kernel is not set.": ["Impossible d'ex\u00e9cuter cette cellule car aucun noyau n'est choisi."], "In": ["Entr\u00e9e"], "Could not find a kernel matching %s. Please select a kernel:": ["Impossible de trouver un noyau correspondant \u00e0 %s. Merci de s\u00e9lectionner un noyau :"], "Continue Without Kernel": ["Poursuivre sans noyau"], "Set Kernel": ["Choisir le noyau"], "Kernel not found": ["Noyau introuvable"], "Creating Notebook Failed": ["La cr\u00e9ation du notebook a \u00e9chou\u00e9"], "The error was: %s": ["L'erreur est : %s"], "Run": ["Ex\u00e9cuter"], "Code": ["Code"], "Markdown": ["Markdown"], "Raw NBConvert": ["Texte Brut (pour NBConvert)"], "Heading": ["Titre"], "unrecognized cell type:": ["type de cellule non reconnu :"], "Failed to retrieve MathJax from '%s'": ["Impossible de r\u00e9cup\u00e9rer MathJax depuis '%s'"], "Math/LaTeX rendering will be disabled.": ["Le rendu Math/LaTex sera d\u00e9sactiv\u00e9."], "Trusted Notebook": ["Notebook de confiance"], "Trust Notebook": ["Faire confiance \u00e0 ce Notebook"], "None": ["Aucun(e)"], "No checkpoints": ["Pas de point de sauvegarde"], "Opens in a new window": ["Ouvrir dans une nouvelle fen\u00eatre"], "Autosave in progress, latest changes may be lost.": ["Auto-sauvegarde en cours, les derni\u00e8res modifications pourraient \u00eatre perdues."], "Unsaved changes will be lost.": ["Les modifications non sauvegard\u00e9es seront perdues."], "The Kernel is busy, outputs may be lost.": ["Le noyau est occup\u00e9, les sorties pourraient \u00eatre perdues."], "This notebook is version %1$s, but we only fully support up to %2$s.": ["Ce notebook est pr\u00e9vu pour la version %1$s du logiciel, mais nous supportons au maximum la version %2$s."], "You can still work with this notebook, but cell and output types introduced in later notebook versions will not be available.": ["Vous pouvez continuer \u00e0 travailler avec ce notebook, mais les types de cellules et de sorties introduits dans les versions ult\u00e9rieures du logiciel ne seront pas disponibles."], "Restart and Run All Cells": ["Relancer et ex\u00e9cuter toutes les cellules"], "Restart and Clear All Outputs": ["Relancer et effacer toutes les sorties"], "Restart": ["Relancer"], "Continue Running": ["Poursuivre l'ex\u00e9cution"], "Reload": ["Recharger"], "Overwrite": ["\u00c9craser"], "Trust": ["Faire confiance"], "Revert": ["R\u00e9tablir"], "Newer Notebook": ["Notebook plus r\u00e9cent"], "Use markdown headings": ["Utiliser les titres markdown"], "Jupyter no longer uses special heading cells. Instead, write your headings in Markdown cells using # characters:": ["Jupyter n'utilise plus de cellules sp\u00e9ciales pour les titres. \u00c0 la place, utiliser la syntaxe de titre dans des cellules Markdown avec les caract\u00e8res # :"], "## This is a level 2 heading": ["## Ceci est un titre de niveau 2"], "Restart kernel and re-run the whole notebook?": ["Red\u00e9marrer le noyau et r\u00e9-ex\u00e9cuter l'ensemble du noteboook ?"], "Are you sure you want to restart the current kernel and re-execute the whole notebook? All variables and outputs will be lost.": ["\u00cates-vous certain de vouloir red\u00e9marrer le noyau actuel et r\u00e9-ex\u00e9cuter l'ensemble du notebook ? Toutes les variables et sorties seront perdues."], "Restart kernel and clear all output?": ["Red\u00e9marrer le noyau et effacer toutes les sorties ?"], "Do you want to restart the current kernel and clear all output? All variables and outputs will be lost.": ["Souhaitez-vous red\u00e9marrer le noyau actuel et effacer toutes les sorties ? Toutes les variables et les sorties seront perdues."], "Restart kernel?": ["Red\u00e9marrer le noyau ?"], "Do you want to restart the current kernel? All variables will be lost.": ["Souhaitez-vous red\u00e9marrer le noyau actuel ? Toutes les variables seront perdues."], "Shutdown kernel?": ["Arr\u00eater le noyau ?"], "Do you want to shutdown the current kernel? All variables will be lost.": ["Souhaitez-vous red\u00e9marrer le noyau actuel ? Toutes les variables seront perdues."], "Notebook changed": ["Notebook modifi\u00e9"], "The notebook file has changed on disk since the last time we opened or saved it. Do you want to overwrite the file on disk with the version open here, or load the version on disk (reload the page) ?": ["Le fichier du notebook a chang\u00e9 sur le disque depuis que vous l'avez ouvert ou sauvegard\u00e9. Souhaitez-vous \u00e9craser le fichier sur le disque avec la version ouverte ici ou charger la version pr\u00e9sente sur le disque (recharge la page) ?"], "Notebook validation failed": ["La validation du notebook a \u00e9chou\u00e9"], "The save operation succeeded, but the notebook does not appear to be valid. The validation error was:": ["La sauvegarde a r\u00e9ussi, mais le notebook semble invalide. L'erreur de validation est :"], "A trusted Jupyter notebook may execute hidden malicious code when you open it. Selecting trust will immediately reload this notebook in a trusted state. For more information, see the Jupyter security documentation: ": ["Un notebook Jupyter auquel vous faites confiance peut ex\u00e9cuter du code malicieux quand vous l'ouvrez. Choisir de faire confiance \u00e0 ce notebook va le recharger imm\u00e9diatement en mode confiance. Pour davantage d'information, voir la section s\u00e9curit\u00e9 dans la documentation de Jupyter."], "here": ["ici"], "Trust this notebook?": ["Faire confiance \u00e0 ce notebook ?"], "Notebook failed to load": ["Le chargement du notebook a \u00e9chou\u00e9"], "The error was: ": ["L'erreur est : "], "See the error console for details.": ["Voir la console d'erreur pour davantage de d\u00e9tails."], "The notebook also failed validation:": ["La validation du notebook a \u00e9chou\u00e9 :"], "An invalid notebook may not function properly. The validation error was:": ["Un notebook non valide peut dysfonctionner. L'erreur de validation est :"], "This notebook has been converted from an older notebook format to the current notebook format v(%s).": ["Ce notebook a \u00e9t\u00e9 converti depuis un format plus ancien de notebook vers le format actuel v(%s)."], "This notebook has been converted from a newer notebook format to the current notebook format v(%s).": ["Ce notebook a \u00e9t\u00e9 converti depuis un format plus r\u00e9cent de notebook vers le format actuel v(%s)."], "The next time you save this notebook, the current notebook format will be used.": ["Au prochain enregistrement de ce notebook, le format actuel de notebook sera utilis\u00e9"], "Older versions of Jupyter may not be able to read the new format.": ["D'anciennes version de Jupyter peuvent ne pas \u00eatre en mesure de lire le nouveau format."], "Some features of the original notebook may not be available.": ["Certaines fonctionalit\u00e9s du notebook d'origine peuvent ne pas \u00eatre disponibles."], "To preserve the original version, close the notebook without saving it.": ["Pour pr\u00e9server la version originale, fermer le notebook sans l'enregistrer."], "Notebook converted": ["Notebook converti"], "(No name)": ["(Sans nom)"], "An unknown error occurred while loading this notebook. This version can load notebook formats %s or earlier. See the server log for details.": ["Une erreur inconnue s'est produite pendant le chargement de ce notebook. Cette version peut charger des formats de notebooks %s ou plus ancien. Voir les journaux du serveur pour davantage d'information."], "Error loading notebook": ["Erreur pendant le chargement du notebook"], "Are you sure you want to revert the notebook to the latest checkpoint?": ["\u00cates-vous certain de vouloir restaurer la derni\u00e8re sauvegarde ?"], "This cannot be undone.": ["Impossible d'annuler."], "The checkpoint was last updated at:": ["Derni\u00e8re sauvegarde \u00e0 : "], "Revert notebook to checkpoint": ["Restaurer le notebook \u00e0 une sauvegarde ant\u00e9rieure"], "Edit Mode": ["Mode \u00c9dition"], "Command Mode": ["Mode Commande"], "Kernel Created": ["Noyau cr\u00e9\u00e9"], "Connecting to kernel": ["Connexion au noyau"], "Not Connected": ["Non connect\u00e9"], "click to reconnect": ["cliquer pour reconnecter"], "Restarting kernel": ["Noyau en cours de red\u00e9marrage"], "Kernel Restarting": ["Noyau en cours de red\u00e9marrage"], "The kernel appears to have died. It will restart automatically.": ["Le noyau semble plant\u00e9. Il va red\u00e9marrer automatiquement."], "Dead kernel": ["Noyau plant\u00e9"], "Kernel Dead": ["Noyau plant\u00e9"], "Interrupting kernel": ["Noyau en cours d'interruption"], "No Connection to Kernel": ["Pas de connexion au noyau"], "A connection to the notebook server could not be established. The notebook will continue trying to reconnect. Check your network connection or notebook server configuration.": ["La connexion au serveur de notebook ne peut pas \u00eatre \u00e9tablie. Le notebook va continuer ses tentatives. V\u00e9rifiez votre connexion r\u00e9seau ou les param\u00e8tres du serveur de notebook."], "Connection failed": ["\u00c9chec de la connexion"], "No kernel": ["Pas de noyau"], "Kernel is not running": ["Le noyau n'est pas actif"], "Don't Restart": ["Ne pas red\u00e9marrer"], "Try Restarting Now": ["Essayer de red\u00e9marrer maintenant"], "The kernel has died, and the automatic restart has failed. It is possible the kernel cannot be restarted. If you are not able to restart the kernel, you will still be able to save the notebook, but running code will no longer work until the notebook is reopened.": ["Le noyau a plant\u00e9, et le red\u00e9marrage automatique a \u00e9chou\u00e9. Il est possible que le noyau ne puisse pas \u00eatre relanc\u00e9. Si c'est le cas, vous pourrez toujours sauvegarder le notebook, mais l'ex\u00e9cution de code ne fonctionnera pas jusqu'\u00e0 la r\u00e9-ouverture du notebook."], "No Kernel": ["Pas de Noyau"], "Failed to start the kernel": ["\u00c9chec du d\u00e9marrage du noyau"], "Kernel Busy": ["Noyau occup\u00e9"], "Kernel starting, please wait...": ["Noyau en cours de d\u00e9marrage, patientez\u2026"], "Kernel Idle": ["Noyau inactif"], "Kernel ready": ["Noyau pr\u00eat"], "Using kernel: ": ["Noyau utilis\u00e9 : "], "Only candidate for language: %1$s was %2$s.": ["Unique candidat pour le langage : %1$s \u00e9tait %2$s."], "Loading notebook": ["Chargement du notebook en cours"], "Notebook loaded": ["Notebook charg\u00e9"], "Saving notebook": ["Enregistrement du notebook en cours"], "Notebook saved": ["Notebook enregistr\u00e9"], "Notebook save failed": ["L'enregistrement du notebook a \u00e9chou\u00e9"], "Notebook copy failed": ["La copie du notebook a \u00e9chou\u00e9"], "Checkpoint created": ["Sauvegarde cr\u00e9\u00e9e"], "Checkpoint failed": ["\u00c9chec de la sauvegarde"], "Checkpoint deleted": ["Sauvegarde supprim\u00e9e"], "Checkpoint delete failed": ["\u00c9chec de la suppression de la sauvegarde"], "Restoring to checkpoint...": ["Restauration de la sauvegarde..."], "Checkpoint restore failed": ["La restauration de la sauvegarde a \u00e9chou\u00e9"], "Autosave disabled": ["Sauvegarde automatique d\u00e9sactiv\u00e9e"], "Saving every %d sec.": ["Sauvegarde toutes les %d sec."], "Trusted": ["Fiable"], "Not Trusted": ["Non fiable"], "click to expand output": ["cliquer pour afficher toute la sortie"], "click to expand output; double click to hide output": ["cliquer pour afficher toute la sortie ; double-cliquer pour masquer la sortie"], "click to unscroll output; double click to hide": ["cliquer pour faire d\u00e9filer la sortie vers le haut ; double-cliquer pour masquer"], "click to scroll output; double click to hide": ["cliquer pour faire d\u00e9filer la sortie ; double-cliquer pour masquer"], "Javascript error adding output!": ["Erreur JavaScript pendant l'\u00e9criture de la sortie !"], "See your browser Javascript console for more details.": ["Voir la console JavaScript de votre navigateur pour plus d'informations."], "Out[%d]:": ["Sortie[%d] :"], "Unrecognized output: %s": ["Sortie non reconnue : %s"], "Open the pager in an external window": ["Ouvrir le paginateur dans une fen\u00eatre externe"], "Close the pager": ["Fermer le paginateur"], "Jupyter Pager": ["Paginateur de Jupyter"], "go to cell start": ["aller au d\u00e9but de la cellule"], "go to cell end": ["aller \u00e0 la fin de la cellule"], "go one word left": ["se d\u00e9placer d'un mot vers la gauche"], "go one word right": ["Se d\u00e9placer d'un mot vers la droite"], "delete word before": ["supprimer le mot pr\u00e9c\u00e9dent"], "delete word after": ["supprimer le mot suivant"], "code completion or indent": ["compl\u00e9tion de code ou indentation"], "tooltip": ["info-bulle"], "indent": ["indenter"], "dedent": ["d\u00e9-indenter"], "select all": ["tout s\u00e9lectionner"], "undo": ["annuler"], "redo": ["refaire"], "Shift": ["Maj"], "Alt": ["Alt"], "Up": ["Haut"], "Down": ["Bas"], "Left": ["Gauche"], "Right": ["Droite"], "Tab": ["Tab"], "Caps Lock": ["Verr. Maj."], "Esc": ["Esc"], "Ctrl": ["Ctrl"], "Enter": ["Entr\u00e9e"], "Page Up": ["Page Pr\u00e9c."], "Page Down": ["Page Suiv."], "Home": ["Accueil"], "End": ["Fin"], "Space": ["Espace"], "Backspace": ["Retour arri\u00e8re"], "Minus": ["Moins"], "PageUp": ["PagePr\u00e9c."], "The Jupyter Notebook has two different keyboard input modes.": ["Le Notebook Jupyter offre deux modes de saisie claivier."], "<b>Edit mode</b> allows you to type code or text into a cell and is indicated by a green cell border.": ["<b>Mode \u00c9dition</b> permet de saisir du code ou du texte dans une cellule et se reconna\u00eet \u00e0 la bordure verte de la cellule."], "<b>Command mode</b> binds the keyboard to notebook level commands and is indicated by a grey cell border with a blue left margin.": ["<b>Mode Commande</b> d\u00e9clenche au clavier des actions au niveau du notebook et se reconna\u00eet \u00e0 la bordure grise de la cellule, avec une marge bleue sur la droite."], "Close": ["Fermer"], "Keyboard shortcuts": ["Raccourcis clavier"], "Command": ["Commande"], "Control": ["Contr\u00f4les"], "Option": ["Option"], "Return": ["Retour"], "Command Mode (press %s to enable)": ["Mode Commande (presser %s pour l'activer)"], "Edit Shortcuts": ["Modifier les Raccourcis Clavier"], "edit command-mode keyboard shortcuts": ["modifier les raccourcis clavier du mode commande"], "Edit Mode (press %s to enable)": ["Mode \u00c9dition (presser %s pour l'activer)"], "Autosave Failed!": ["\u00c9chec de la sauvegarde automatique !"], "Rename": ["Renommer"], "Enter a new notebook name:": ["Saisir le nouveau nom du notebook"], "Rename Notebook": ["Renommer le Notebook"], "Invalid notebook name. Notebook names must have 1 or more characters and can contain any characters except :/\\. Please enter a new notebook name:": ["Nom de notebook invalide. Les noms de notebooks doivent poss\u00e9der au moins un caract\u00e8re et peuvent contenir tous les caract\u00e8res sauf \u00ab /\\ \u00bb. Merci de saisir un nouveau nom de notebook :"], "Renaming...": ["Renommage en cours..."], "Unknown error": ["Erreur inconnue"], "no checkpoint": ["aucune sauvegarde"], "Last Checkpoint: %s": ["Derni\u00e8re Sauvegarde : %s"], "(unsaved changes)": ["(modifi\u00e9)"], "(autosaved)": ["(auto-sauvegard\u00e9)"], "Warning: too many matches (%d). Some changes might not be shown or applied.": ["Attention : trop de correspondances (%d). Certains changements peuvent ne pas \u00eatre affich\u00e9s ou appliqu\u00e9s."], "%d match": ["%d correspondance", "%d correspondances"], "More than 100 matches, aborting": ["Plus de 100 correspondances, annulation"], "Use regex (JavaScript regex syntax)": ["Utiliser des regex (syntaxe des regex JavaScript)"], "Replace in selected cells": ["Remplacer dans les cellules s\u00e9lectionn\u00e9es"], "Match case": ["Sensible \u00e0 la casse"], "Find": ["Rechercher"], "Replace": ["Remplacer"], "No matches, invalid or empty regular expression": ["Aucune correspondance trouv\u00e9e, expression r\u00e9guli\u00e8re vide ou invalide."], "Replace All": ["Tout Remplacer"], "Find and Replace": ["Rechercher et Remplacer"], "find and replace": ["rechercher et remplacer"], "Write raw LaTeX or other formats here, for use with nbconvert. It will not be rendered in the notebook. When passing through nbconvert, a Raw Cell's content is added to the output unmodified.": ["\u00c9crivez ici du code Latex brut ou d'autres formats, pour usage avec nbconvert. Il ne sera pas rendu dans le notebook. En utilisant nbconvert, le contenu d'une cellule brute est ajout\u00e9 tel-quel \u00e0 la sortie."], "Grow the tooltip vertically (press shift-tab twice)": ["Agrandir l'info-bulle verticallement (presser Maj-Tab deux fois)"], "show the current docstring in pager (press shift-tab 4 times)": ["montrer la cha\u00eene de documentation courante dans le paginateur (presser shift-tab 4 fois)"], "Open in Pager": ["Ouvrir dans le Paginateur"], "Tooltip will linger for 10 seconds while you type": ["L'info-bulle restera affich\u00e9e 10 secondes pendant votre saisie"], "Welcome to the Notebook Tour": ["Bienvenue dans la visite du Notebook"], "You can use the left and right arrow keys to go backwards and forwards.": ["Vous pouvez utiliser les touches gauche et droite pour continuer ou revenir en arri\u00e8re."], "Filename": ["Nom du fichier"], "Click here to change the filename for this notebook.": ["Cliquer ici pour changer le nom du fichier de ce notebook."], "Notebook Menubar": ["Barre de Menu du Notebook"], "The menubar has menus for actions on the notebook, its cells, and the kernel it communicates with.": ["La barre de menu a des menus pour les actions concernant le notebook, ses cellules, et le noyau avec lequel il communique."], "Notebook Toolbar": ["Barre d'outils du Notebook"], "The toolbar has buttons for the most common actions. Hover your mouse over each button for more information.": ["La barre d'outils a des boutons pour les actions les plus fr\u00e9quentes. Survoler les boutons \u00e0 la souris pour plus d'information."], "Mode Indicator": ["Indicateur de mode"], "The Notebook has two modes: Edit Mode and Command Mode. In this area, an indicator can appear to tell you which mode you are in.": ["Le Notebook offre deux modes : \u00c9dition et Commande. Dans cette zone, un indicateur peut vous indiquer dans quel mode vous \u00eates."], "Right now you are in Command Mode, and many keyboard shortcuts are available. In this mode, no icon is displayed in the indicator area.": ["Actuellement, vous \u00eates en mode Commande, et de nombreux raccourcis clavier sont disponibles. Dans ce mode, aucune ic\u00f4ne n'est affich\u00e9e dans la zone d'indication."], "Pressing <code>Enter</code> or clicking in the input text area of the cell switches to Edit Mode.": ["Presser <code>Entr\u00e9e</code> ou cliquer dans la zone de saisie de la cellule bascule vers le Mode \u00c9dition."], "Notice that the border around the currently active cell changed color. Typing will insert text into the currently active cell.": ["Notez que la bordure autour de la cellule active a chang\u00e9 de couleur. Saisir du texte au clavier l'ins\u00e9rera dans la cellule active."], "Back to Command Mode": ["Retourner au Mode Commande"], "Pressing <code>Esc</code> or clicking outside of the input text area takes you back to Command Mode.": ["Presser <code>Esc</code> ou cliquer en dehors de la zone de saisie de la cellule vous ram\u00e8ne au Mode Commande."], "Keyboard Shortcuts": ["Raccourcis Clavier"], "You can click here to get a list of all of the keyboard shortcuts.": ["Vous pouvez cliquer ici pour afficher une liste de tous les raccourcis clavier."], "Kernel Indicator": ["Indicateur de Noyau"], "This is the Kernel indicator. It looks like this when the Kernel is idle.": ["Ceci est l'indicateur de Noyau. Il a cet aspect quand le Noyau est inactif."], "The Kernel indicator looks like this when the Kernel is busy.": ["L'indicateur de Noyau a cet aspect quand le Noyau est actif."], "Interrupting the Kernel": ["Interrompre le Noyau"], "To cancel a computation in progress, you can click here.": ["Pour annuler une ex\u00e9cution en cours, vous pouvez cliquer ici."], "Notification Area": ["Zone de notification"], "Messages in response to user actions (Save, Interrupt, etc.) appear here.": ["Les messages en retour d'actions utilisateur (Enregistrement, Interruption, etc.) s'affichent ici."], "End of Tour": ["Fin de la visite"], "This concludes the Jupyter Notebook User Interface Tour.": ["C'est la fin de cette visite guid\u00e9e de l'Interface utilisateur du Notebook Jupyter."], "Edit Attachments": ["Modifier les Pi\u00e8ces-Jointes"], "Cell": ["Cellule"], "Edit Metadata": ["\u00c9diter les M\u00e9ta-Donn\u00e9es"], "Custom": ["Personnalis\u00e9"], "Set the MIME type of the raw cell:": ["D\u00e9finir le type MIME de la cellule en texte brut :"], "Raw Cell MIME Type": ["Type MIME de la Cellule en Texte Brut"], "Raw NBConvert Format": ["Format du Texte Brut"], "Raw Cell Format": ["Format de la Cellule Texte Brut"], "Slide": ["Diapo"], "Sub-Slide": ["Sous-Diapo"], "Fragment": ["Extrait"], "Skip": ["Sauter"], "Notes": ["Notes"], "Slide Type": ["Type de diapo"], "Slideshow": ["Diaporama"], "Add tag": ["Ajouter un mot-cl\u00e9"], "Edit the list of tags below. 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Do you still want to upload it?": ["Le fichier p\u00e8se %d MB. \u00cates-vous certain de vouloir le t\u00e9l\u00e9verser ?"], "Large file size warning": ["Avertissement de taille de fichier \u00e9lev\u00e9e"], "Server error: ": ["Erreur serveur :"], "The notebook list is empty.": ["La liste des notebooks est vide."], "Click here to rename, delete, etc.": ["Cliquer ici pour renommer, supprimer, etc."], "Running": ["Actif"], "Enter a new file name:": ["Saisir le nom du nouveau fichier :"], "Enter a new directory name:": ["Saisir le nom du nouveau r\u00e9pertoire :"], "Enter a new name:": ["Saisir un nouveau nom :"], "Rename file": ["Renommer le fichier"], "Rename directory": ["Renommer le r\u00e9pertoire"], "Rename notebook": ["Renommer le notebook"], "Move": ["D\u00e9placer"], "An error occurred while renaming \"%1$s\" to \"%2$s\".": ["Une erreur s'est produite pendant le renommage de \u00ab\u00a0%1$s\u00a0\u00bb vers \u00ab\u00a0%2$s\u00a0\u00bb."], "Rename Failed": ["\u00c9chec du Renommage"], "Enter a new destination directory path for this item:": ["Saisir un nouveau chemin de destination pour cet \u00e9l\u00e9ment :", "Saisir un nouveau chemin de destination pour ces %d \u00e9l\u00e9ments :"], "Move an Item": ["D\u00e9placer un \u00e9l\u00e9ment", "D\u00e9placer %d \u00e9l\u00e9ments"], "An error occurred while moving \"%1$s\" from \"%2$s\" to \"%3$s\".": ["Une erreur s'est produite lors du d\u00e9placement de \u00ab\u00a0%1$s\u00a0\u00bb de \u00ab\u00a0%2$s\u00a0\u00bb vers \u00ab\u00a0%3$s\u00a0\u00bb."], "Move Failed": ["\u00c9chec du d\u00e9placement"], "Are you sure you want to permanently delete: \"%s\"?": ["\u00cates-vous certain de vouloir supprimer d\u00e9finitivement \u00ab\u00a0%s\u00a0 \u00bb ?", "\u00cates-vous certain de vouloir supprimer d\u00e9finitivement les \u00ab\u00a0%d\u00a0 \u00bb fichiers ou r\u00e9pertoires s\u00e9lectionn\u00e9s ?"], "An error occurred while deleting \"%s\".": ["Une erreur s'est produite pendant la suppression de \u00ab %s \u00bb."], "Delete Failed": ["\u00c9chec de la suppression"], "Are you sure you want to duplicate: \"%s\"?": ["\u00cates-vous certain de vouloir dupliquer \u00ab\u00a0%s\u00a0\u00bb ?", "\u00cates-vous certain de vouloir dupliquer les \u00ab\u00a0%d\u00a0\u00bb fichiers s\u00e9lectionn\u00e9s ?"], "Duplicate": ["Dupliquer"], "An error occurred while duplicating \"%s\".": ["Une erreur s'est produite pendant la duplication de \u00ab\u00a0%s\u00a0\u00bb."], "Duplicate Failed": ["\u00c9chec de la duplication"], "Upload": ["T\u00e9l\u00e9verser"], "Invalid file name": ["Nom de fichier invalide"], "File names must be at least one character and not start with a period": ["Les noms des fichier doivent compter au moins un caract\u00e8re et ne doivent pas commencer avec un point."], "Cannot upload invalid Notebook": ["Impossible de t\u00e9l\u00e9verser un Notebook invalide"], "There is already a file named \"%s\". 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<h3 id="supplementary-material-to-the-data-paper-sumitted-to-SEJ">supplementary material to the data paper sumitted to SEJ<a class="anchor-link" href="#supplementary-material-to-the-data-paper-sumitted-to-SEJ">¶</a></h3>
<p>Jens Thieler{2}, Yves-Marie Saint-Drenan(1), Carmen Köhler(3), Laurent Dubus(4), Lionel Ménard(1), Philippe Blanc(1)</p>
<p>1 MINES ParisTech, PSL Research University, O.I.E. Centre Observation, Impacts, Energy, 06904 Sophia Antipolis, France
2 Deutscher Wetterdienst – Seewetteramt, Hamburg, Germany
3 P³R GmbH, Königswinter, Germany
4 RTE, Paris, France</p>
</div></div></div><div class="cell text_cell unselected rendered" tabindex="2"><div class="prompt input_prompt"></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit Markup Text here"><div class="CodeMirror cm-s-default CodeMirror-wrap"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 5.60004px; left: 4px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; padding-right: 0px; padding-bottom: 0px; margin-bottom: -19px; border-right-width: 31px; min-height: 32px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"><pre class="CodeMirror-line-like"><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors"><div class="CodeMirror-cursor" style="left: 4px; top: 0px; height: 20.35px;"> </div></div><div class="CodeMirror-code" role="presentation"><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-header cm-header-3">### import of the needed libraries</span></span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 32px;"></div><div class="CodeMirror-gutters" style="display: none; height: 63px;"></div></div></div></div><div class="text_cell_render rendered_html" tabindex="-1" dir="ltr"><h3 id="import-of-the-needed-libraries">import of the needed libraries<a class="anchor-link" href="#import-of-the-needed-libraries">¶</a></h3>
</div></div></div><div class="cell code_cell rendered unselected" tabindex="2"><div class="input"><div class="prompt_container"><div class="prompt input_prompt"><bdi>Entrée</bdi> [1]:</div><div class="run_this_cell" title="Run this cell"><i class="fa-step-forward fa"></i></div></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit code here"><div class="CodeMirror cm-s-ipython"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 39.6001px; left: 164.8px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; min-width: 283.933px; margin-bottom: -19px; border-right-width: 31px; min-height: 79px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors" style="visibility: hidden;"><div class="CodeMirror-cursor" style="left: 164.8px; top: 34px; height: 17px;"> </div></div><div class="CodeMirror-code" role="presentation"><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-keyword">import</span> <span class="cm-variable">netCDF4</span> <span class="cm-keyword">as</span> <span class="cm-variable">nc</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-keyword">import</span> <span class="cm-variable">datetime</span> <span class="cm-keyword">as</span> <span class="cm-variable">dt</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-keyword">import</span> <span class="cm-variable">numpy</span> <span class="cm-keyword">as</span> <span class="cm-variable">np</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-keyword">import</span> <span class="cm-variable">matplotlib</span>.<span class="cm-property">pyplot</span> <span class="cm-keyword">as</span> <span class="cm-variable">plt</span></span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 79px;"></div><div class="CodeMirror-gutters" style="display: none; height: 110px;"></div></div></div></div></div></div><div class="output_wrapper"><div class="out_prompt_overlay prompt" title="cliquer pour faire défiler la sortie ; double-cliquer pour masquer"></div><div class="output"></div><div style="display: none;" class="btn btn-default output_collapsed" title="cliquer pour afficher toute la sortie">. . .</div></div></div><div class="cell text_cell unselected rendered" tabindex="2"><div class="prompt input_prompt"></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit Markup Text here"><div class="CodeMirror cm-s-default CodeMirror-wrap"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 5.59998px; left: 4px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; padding-right: 0px; padding-bottom: 0px; margin-bottom: -19px; border-right-width: 31px; min-height: 32px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"><pre class="CodeMirror-line-like"><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors"><div class="CodeMirror-cursor" style="left: 4px; top: 0px; height: 20.35px;"> </div></div><div class="CodeMirror-code" role="presentation"><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-header cm-header-3">### connexion to the Thredds server containing the data</span></span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 32px;"></div><div class="CodeMirror-gutters" style="display: none; height: 63px;"></div></div></div></div><div class="text_cell_render rendered_html" tabindex="-1" dir="ltr"><h3 id="connexion-to-the-Thredds-server-containing-the-data">connexion to the Thredds server containing the data<a class="anchor-link" href="#connexion-to-the-Thredds-server-containing-the-data">¶</a></h3>
</div></div></div><div class="cell code_cell rendered unselected" tabindex="2"><div class="input"><div class="prompt_container"><div class="prompt input_prompt"><bdi>Entrée</bdi> [2]:</div><div class="run_this_cell" title="Run this cell"><i class="fa-step-forward fa"></i></div></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit code here"><div class="CodeMirror cm-s-ipython"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 39.6001px; left: 280.933px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; min-width: 641.267px; margin-bottom: -19px; border-right-width: 31px; min-height: 96px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors" style="visibility: hidden;"><div class="CodeMirror-cursor" style="left: 280.933px; top: 34px; height: 17px;"> </div></div><div class="CodeMirror-code" role="presentation" style=""><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-keyword">import</span> <span class="cm-variable">netCDF4</span> <span class="cm-keyword">as</span> <span class="cm-variable">nc</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">thredds_url</span> <span class="cm-operator">=</span> <span class="cm-string">'http://tds.webservice-energy.org/thredds/dodsC/eclipse/'</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">filename</span><span class="cm-operator">=</span><span class="cm-string">'SolarEclipseEU_20210610_v2.nc'</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">data_nc</span> <span class="cm-operator">=</span> <span class="cm-variable">nc</span>.<span class="cm-property">Dataset</span>(<span class="cm-variable">thredds_url</span><span class="cm-operator">+</span><span class="cm-variable">filename</span>) </span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-builtin">print</span>(<span class="cm-variable">data_nc</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 96px;"></div><div class="CodeMirror-gutters" style="display: none; height: 127px;"></div></div></div></div></div></div><div class="output_wrapper"><div class="out_prompt_overlay prompt" title="cliquer pour faire défiler la sortie ; double-cliquer pour masquer"></div><div class="output"><div class="output_area"><div class="run_this_cell"></div><div class="prompt"></div><div class="output_subarea output_text output_stream output_stdout" dir="auto"><pre><class 'netCDF4._netCDF4.Dataset'>
root group (NETCDF3_CLASSIC data model, file format DAP2):
comments:
geospatial_lat_units: degrees_north
geospatial_lon_units: degrees_east
date_created: 2021-06-4
Conventions: CF-1.6, ACDD-1.3
creator_name: Jens Thieler (DWD)
acknowledgement: DWD, Mines Paristech
title: Dataset of relative visible area of the sun in percent during the solar eclipse of June the 10th, 2021
summary: Relative visible area of the sun in percent during the solar eclipse of June the 10th, 2021 broadband and in the visible range
abstract: Results of calculation of the relative visible area of the sun in percent during the solar eclipse of June the 10th, 2021 broadband and in the visible range
keywords: solar eclipse; solar radiation; shadow; moon
references: TBD
institution: DWD; MINES ParisTech
geospatial_lat_min: 26.1229
geospatial_lat_max: 70.9998
geospatial_lon_min: -34.2451
geospatial_lon_max: 63.4678
time_coverage_start: 10-Jun-2021 08:35:00
time_coverage_end: 10-Jun-2021 12:35:00
time_coverage_resolution: PT1M
history:
DODS_EXTRA.Unlimited_Dimension: time
dimensions(sizes): time(241), lat(657), lon(665)
variables(dimensions): int32 time(time), float64 latitude(lon, lat), float64 longitude(lon, lat), int32 CountryID(lon, lat), float32 rel_sun_vis(time, lon, lat), float32 rel_sun_si2(time, lon, lat), float32 SEL(time, lon, lat), float32 SAZ(time, lon, lat), float32 Gcs_max_control(time, lon, lat), float32 Gcs_max_eclipse(time, lon, lat)
groups:
</pre></div></div></div><div style="display: none;" class="btn btn-default output_collapsed" title="cliquer pour afficher toute la sortie">. . .</div></div></div><div class="cell text_cell unselected rendered" tabindex="2"><div class="prompt input_prompt"></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit Markup Text here"><div class="CodeMirror cm-s-default CodeMirror-wrap"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 5.6001px; left: 4px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; padding-right: 0px; padding-bottom: 0px; margin-bottom: -19px; border-right-width: 31px; min-height: 66px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"><pre class="CodeMirror-line-like"><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors"><div class="CodeMirror-cursor" style="left: 4px; top: 0px; height: 20.35px;"> </div></div><div class="CodeMirror-code" role="presentation"><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-header cm-header-3">### extraction of a time series for a given point</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation">In this first example, we want to extract a time series of the shaded fraction of the sun area for a given point of coordinate (45°N, 0°E).</span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 66px;"></div><div class="CodeMirror-gutters" style="display: none; height: 97px;"></div></div></div></div><div class="text_cell_render rendered_html" tabindex="-1" dir="ltr"><h3 id="extraction-of-a-time-series-for-a-given-point">extraction of a time series for a given point<a class="anchor-link" href="#extraction-of-a-time-series-for-a-given-point">¶</a></h3>
<p>In this first example, we want to extract a time series of the shaded
fraction of the sun area for a given point of coordinate (45°N, 0°E).</p>
</div></div></div><div class="cell code_cell rendered unselected" tabindex="2"><div class="input"><div class="prompt_container"><div class="prompt input_prompt"><bdi>Entrée</bdi> [4]:</div><div class="run_this_cell" title="Run this cell"><i class="fa-step-forward fa"></i></div></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit code here"><div class="CodeMirror cm-s-ipython"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 107.6px; left: 254.133px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; min-width: 846.733px; margin-bottom: -19px; border-right-width: 31px; min-height: 181px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors" style="visibility: hidden;"><div class="CodeMirror-cursor" style="left: 254.133px; top: 102px; height: 17px;"> </div></div><div class="CodeMirror-code" role="presentation" style=""><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">ilat</span>,<span class="cm-variable">ilon</span><span class="cm-operator">=</span><span class="cm-number">307</span>,<span class="cm-number">197</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">lat</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"latitude"</span>][<span class="cm-variable">ilon</span>,<span class="cm-variable">ilat</span>]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">lon</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"longitude"</span>][<span class="cm-variable">ilon</span>,<span class="cm-variable">ilat</span>]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">time</span><span class="cm-operator">=</span>[<span class="cm-variable">dt</span>.<span class="cm-property">datetime</span>(<span class="cm-number">2000</span>,<span class="cm-number">1</span>,<span class="cm-number">1</span>,<span class="cm-number">0</span>,<span class="cm-number">0</span>)<span class="cm-operator">+</span><span class="cm-variable">dt</span>.<span class="cm-property">timedelta</span>(<span class="cm-variable">seconds</span><span class="cm-operator">=</span><span class="cm-builtin">int</span>(<span class="cm-variable">x</span>)) <span class="cm-keyword">for</span> <span class="cm-variable">x</span> <span class="cm-keyword">in</span> <span class="cm-variable">data_nc</span>[<span class="cm-string">"time"</span>][:].<span class="cm-property">data</span>]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">rel_sun_si2</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"rel_sun_si2"</span>][:,<span class="cm-variable">ilon</span>,<span class="cm-variable">ilat</span>].<span class="cm-property">data</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">Gcs_max_control</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"Gcs_max_control"</span>][:,<span class="cm-variable">ilon</span>,<span class="cm-variable">ilat</span>].<span class="cm-property">data</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">Gcs_max_eclipse</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"Gcs_max_eclipse"</span>][:,<span class="cm-variable">ilon</span>,<span class="cm-variable">ilat</span>].<span class="cm-property">data</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 181px;"></div><div class="CodeMirror-gutters" style="display: none; height: 212px;"></div></div></div></div></div></div><div class="output_wrapper"><div class="out_prompt_overlay prompt" title="cliquer pour faire défiler la sortie ; double-cliquer pour masquer"></div><div class="output"></div><div style="display: none;" class="btn btn-default output_collapsed" title="cliquer pour afficher toute la sortie">. . .</div></div></div><div class="cell code_cell rendered unselected" tabindex="2"><div class="input"><div class="prompt_container"><div class="prompt input_prompt"><bdi>Entrée</bdi> [5]:</div><div class="run_this_cell" title="Run this cell"><i class="fa-step-forward fa"></i></div></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit code here"><div class="CodeMirror cm-s-ipython"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 260.6px; left: 432.8px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; min-width: 551.933px; margin-bottom: -19px; border-right-width: 31px; min-height: 300px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors" style=""><div class="CodeMirror-cursor" style="left: 432.8px; top: 255px; height: 17px;"> </div></div><div class="CodeMirror-code" role="presentation" style=""><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">figure</span>(<span class="cm-variable">figsize</span><span class="cm-operator">=</span>(<span class="cm-number">15</span>,<span class="cm-number">10</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">ax1</span><span class="cm-operator">=</span><span class="cm-variable">plt</span>.<span class="cm-property">subplot</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">ax1</span>.<span class="cm-property">plot</span>(<span class="cm-variable">time</span>,<span class="cm-variable">Gcs_max_control</span>,<span class="cm-variable">time</span>,<span class="cm-variable">Gcs_max_eclipse</span>,<span class="cm-variable">lw</span><span class="cm-operator">=</span><span class="cm-number">3</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">xlabel</span>(<span class="cm-string">'Time'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">ylabel</span>(<span class="cm-string">'Clear-sky irradiance [W/m2]'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">ax1</span>.<span class="cm-property">legend</span>((<span class="cm-string">'control'</span>,<span class="cm-string">'eclipse'</span>),<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>,<span class="cm-variable">loc</span><span class="cm-operator">=</span><span class="cm-number">0</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">ax2</span><span class="cm-operator">=</span><span class="cm-variable">ax1</span>.<span class="cm-property">twinx</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">ax2</span>.<span class="cm-property">plot</span>(<span class="cm-variable">time</span>,<span class="cm-variable">rel_sun_si2</span>,<span class="cm-string">'k--'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">ylim</span>((<span class="cm-number">0</span>,<span class="cm-number">100</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">title</span>(<span class="cm-string">'{}°N / {}°E'</span>.<span class="cm-property">format</span>(<span class="cm-variable">lat</span>,<span class="cm-variable">lon</span>),<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">xlabel</span>(<span class="cm-string">'Time'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">ylabel</span>(<span class="cm-string">'Loss factor due to the eclipse in %'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">ax2</span>.<span class="cm-property">legend</span>(<span class="cm-string">'loss factor'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>,<span class="cm-variable">loc</span><span class="cm-operator">=</span><span class="cm-number">4</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 300px;"></div><div class="CodeMirror-gutters" style="display: none; height: 331px;"></div></div></div></div></div></div><div class="output_wrapper"><div class="out_prompt_overlay prompt" title="cliquer pour faire défiler la sortie ; double-cliquer pour masquer"></div><div class="output"><div class="output_area"><div class="run_this_cell"></div><div class="prompt output_prompt"><bdi>Out[5]:</bdi></div><div class="output_subarea output_text output_result" dir="auto"><pre><matplotlib.legend.Legend at 0x2154f9cd898></pre></div></div><div class="output_area"><div class="run_this_cell"></div><div class="prompt"></div><div class="output_subarea output_png" dir="auto"><img 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
"></div></div></div><div style="display: none;" class="btn btn-default output_collapsed" title="cliquer pour afficher toute la sortie">. . .</div></div></div><div class="cell text_cell unselected rendered" tabindex="2"><div class="prompt input_prompt"></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit Markup Text here"><div class="CodeMirror cm-s-default CodeMirror-wrap"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 5.59998px; left: 4px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; padding-right: 0px; padding-bottom: 0px; margin-bottom: -19px; border-right-width: 31px; min-height: 66px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"><pre class="CodeMirror-line-like"><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors"><div class="CodeMirror-cursor" style="left: 4px; top: 0px; height: 20.35px;"> </div></div><div class="CodeMirror-code" role="presentation"><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-header cm-header-3">### extraction of map for a given time step</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation">In this second example, we want to extract a map of the shaded fraction of the sun area for for a given time step (10/06/2021 10:46).</span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 66px;"></div><div class="CodeMirror-gutters" style="display: none; height: 97px;"></div></div></div></div><div class="text_cell_render rendered_html" tabindex="-1" dir="ltr"><h3 id="extraction-of-map-for-a-given-time-step">extraction of map for a given time step<a class="anchor-link" href="#extraction-of-map-for-a-given-time-step">¶</a></h3>
<p>In this second example, we want to extract a map of the shaded
fraction of the sun area for for a given time step (10/06/2021 10:46).</p>
</div></div></div><div class="cell code_cell rendered unselected" tabindex="2"><div class="input"><div class="prompt_container"><div class="prompt input_prompt"><bdi>Entrée</bdi> [6]:</div><div class="run_this_cell" title="Run this cell"><i class="fa-step-forward fa"></i></div></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit code here"><div class="CodeMirror cm-s-ipython"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 39.6001px; left: 182.667px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; min-width: 614.467px; margin-bottom: -19px; border-right-width: 31px; min-height: 130px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors" style="visibility: hidden;"><div class="CodeMirror-cursor" style="left: 182.667px; top: 34px; height: 17px;"> </div></div><div class="CodeMirror-code" role="presentation" style=""><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">iTime</span><span class="cm-operator">=</span><span class="cm-number">120</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">lat</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"latitude"</span>][:,:]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">lon</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"longitude"</span>][:,:]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">time</span><span class="cm-operator">=</span><span class="cm-variable">nc</span>.<span class="cm-property">num2date</span>(<span class="cm-variable">data_nc</span>[<span class="cm-string">"time"</span>][<span class="cm-variable">iTime</span>],<span class="cm-variable">units</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"time"</span>].<span class="cm-property">units</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">rel_sun_vis</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"rel_sun_vis"</span>][<span class="cm-variable">iTime</span>,:,:].<span class="cm-property">data</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">Gcs_max_control</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"Gcs_max_control"</span>][<span class="cm-variable">iTime</span>,:,:].<span class="cm-property">data</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">Gcs_max_eclipse</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"Gcs_max_eclipse"</span>][<span class="cm-variable">iTime</span>,:,:].<span class="cm-property">data</span></span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 130px;"></div><div class="CodeMirror-gutters" style="display: none; height: 161px;"></div></div></div></div></div></div><div class="output_wrapper"><div class="out_prompt_overlay prompt" title="cliquer pour faire défiler la sortie ; double-cliquer pour masquer"></div><div class="output"></div><div style="display: none;" class="btn btn-default output_collapsed" title="cliquer pour afficher toute la sortie">. . .</div></div></div><div class="cell code_cell rendered unselected" tabindex="2"><div class="input"><div class="prompt_container"><div class="prompt input_prompt"><bdi>Entrée</bdi> [7]:</div><div class="run_this_cell" title="Run this cell"><i class="fa-step-forward fa"></i></div></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit code here"><div class="CodeMirror cm-s-ipython"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 90.6001px; left: 155.867px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; min-width: 837.8px; margin-bottom: -19px; border-right-width: 31px; min-height: 181px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors" style=""><div class="CodeMirror-cursor" style="left: 155.867px; top: 85px; height: 17px;"> </div></div><div class="CodeMirror-code" role="presentation" style=""><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">figure</span>(<span class="cm-variable">figsize</span><span class="cm-operator">=</span>(<span class="cm-number">15</span>,<span class="cm-number">10</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">contour</span><span class="cm-operator">=</span><span class="cm-variable">plt</span>.<span class="cm-property">contour</span>(<span class="cm-variable">lon</span>,<span class="cm-variable">lat</span>,<span class="cm-variable">rel_sun_vis</span>,<span class="cm-variable">levels</span><span class="cm-operator">=</span>[<span class="cm-number">50</span>,<span class="cm-number">60</span>,<span class="cm-number">70</span>,<span class="cm-number">80</span>,<span class="cm-number">90</span>],<span class="cm-variable">colors</span><span class="cm-operator">=</span><span class="cm-string">'k'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">clabel</span>(<span class="cm-variable">contour</span>,<span class="cm-variable">inline</span><span class="cm-operator">=</span><span class="cm-keyword">True</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">15</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">shd</span><span class="cm-operator">=</span><span class="cm-variable">plt</span>.<span class="cm-property">scatter</span>(<span class="cm-variable">lon</span>,<span class="cm-variable">lat</span>,<span class="cm-variable">c</span><span class="cm-operator">=</span><span class="cm-variable">Gcs_max_control</span><span class="cm-operator">-</span><span class="cm-variable">Gcs_max_eclipse</span>,<span class="cm-variable">cmap</span><span class="cm-operator">=</span><span class="cm-string">'Purples'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">cbar</span> <span class="cm-operator">=</span> <span class="cm-variable">plt</span>.<span class="cm-property">colorbar</span>(<span class="cm-variable">shd</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">cbar</span>.<span class="cm-property">set_label</span>(<span class="cm-string">'Reduction of the clear sky irradiance due to the eclipse [W/m2]'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">16</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">xlabel</span>(<span class="cm-string">'longitude [°]'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">ylabel</span>(<span class="cm-string">'latitude [°]'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">title</span>(<span class="cm-variable">time</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">22</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 181px;"></div><div class="CodeMirror-gutters" style="display: none; height: 212px;"></div></div></div></div></div></div><div class="output_wrapper"><div class="out_prompt_overlay prompt" title="cliquer pour faire défiler la sortie ; double-cliquer pour masquer"></div><div class="output"><div class="output_area"><div class="run_this_cell"></div><div class="prompt output_prompt"><bdi>Out[7]:</bdi></div><div class="output_subarea output_text output_result" dir="auto"><pre>Text(0.5, 1.0, '2021-06-10 10:35:00')</pre></div></div><div class="output_area"><div class="run_this_cell"></div><div class="prompt"></div><div class="output_subarea output_png" dir="auto"><img src="data:image/png;base64,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
"></div></div></div><div style="display: none;" class="btn btn-default output_collapsed" title="cliquer pour afficher toute la sortie">. . .</div></div></div><div class="cell text_cell unselected rendered" tabindex="2"><div class="prompt input_prompt"></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit Markup Text here"><div class="CodeMirror cm-s-default CodeMirror-wrap"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 5.59985px; left: 4px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; padding-right: 0px; padding-bottom: 0px; margin-bottom: -19px; border-right-width: 31px; min-height: 83px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"><pre class="CodeMirror-line-like"><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors"><div class="CodeMirror-cursor" style="left: 4px; top: 0px; height: 20.35px;"> </div></div><div class="CodeMirror-code" role="presentation"><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-header cm-header-3">### Maximal absolute reduction of the clear sky irradiance due to the eclipse in each of the EU countries </span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> </span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 83px;"></div><div class="CodeMirror-gutters" style="display: none; height: 114px;"></div></div></div></div><div class="text_cell_render rendered_html" tabindex="-1" dir="ltr"><h3 id="Maximal-absolute-reduction-of-the-clear-sky-irradiance-due-to-the-eclipse-in-each-of-the-EU-countries">Maximal absolute reduction of the clear sky irradiance due to the eclipse in each of the EU countries<a class="anchor-link" href="#Maximal-absolute-reduction-of-the-clear-sky-irradiance-due-to-the-eclipse-in-each-of-the-EU-countries">¶</a></h3>
</div></div></div><div class="cell code_cell rendered running selected" tabindex="2"><div class="input"><div class="prompt_container"><div class="prompt input_prompt"><bdi>Entrée</bdi> [*]:</div><div class="run_this_cell" title="Run this cell"><i class="fa-step-forward fa"></i></div></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit code here"><div class="CodeMirror cm-s-ipython"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 430.6px; left: 414.933px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off">time=[dt.datetime(2000,1,1,0,0)+dt.timedelta(seconds=int(x)) for x in data_nc["time"][:].data]
CountryID=['FR','HR','HU','AL','AT','BE','BG','CH','CY','CZ','DE','DK','EE','EL','IE','ES','FI',\
'IS','PT','RO','RS','SE','SI','SK','TR','UK','NO','IT','LI','LT','LU','LV','ME','MK',\
'MT','NL','PL']
CountryID=data_nc["CountryID"][:,:]
Time_MaxCSRed=[]
Val_MaxCSRed=[]
for iTime,Time in enumerate(time):
print(iTime)
Gcs_max_control=data_nc["Gcs_max_control"][iTime,:,:].data
Gcs_max_eclipse=data_nc["Gcs_max_eclipse"][iTime,:,:].data
dGcs=Gcs_max_control-Gcs_max_eclipse
for iCnty,CTY in enumerate(CountryID):
tAvgGcsRed=np.mean(dGcs[CountryID==iCnty+1])
if iTime==0:
Time_MaxCSRed.append(Time)
Val_MaxCSRed.append(tAvgGcsRed)
else:
if (Val_MaxCSRed[iCnty]<tAvgGcsRed):
Time_MaxCSRed[iCnty]=Time
Val_MaxCSRed[iCnty]=tAvgGcsRed</textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; min-width: 873.533px; margin-bottom: -19px; border-right-width: 31px; min-height: 470px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors" style="visibility: hidden;"><div class="CodeMirror-cursor" style="left: 414.933px; top: 425px; height: 17px;"> </div></div><div class="CodeMirror-code" role="presentation" style=""><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">time</span><span class="cm-operator">=</span>[<span class="cm-variable">dt</span>.<span class="cm-property">datetime</span>(<span class="cm-number">2000</span>,<span class="cm-number">1</span>,<span class="cm-number">1</span>,<span class="cm-number">0</span>,<span class="cm-number">0</span>)<span class="cm-operator">+</span><span class="cm-variable">dt</span>.<span class="cm-property">timedelta</span>(<span class="cm-variable">seconds</span><span class="cm-operator">=</span><span class="cm-builtin">int</span>(<span class="cm-variable">x</span>)) <span class="cm-keyword">for</span> <span class="cm-variable">x</span> <span class="cm-keyword">in</span> <span class="cm-variable">data_nc</span>[<span class="cm-string">"time"</span>][:].<span class="cm-property">data</span>]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">CountryID</span><span class="cm-operator">=</span>[<span class="cm-string">'FR'</span>,<span class="cm-string">'HR'</span>,<span class="cm-string">'HU'</span>,<span class="cm-string">'AL'</span>,<span class="cm-string">'AT'</span>,<span class="cm-string">'BE'</span>,<span class="cm-string">'BG'</span>,<span class="cm-string">'CH'</span>,<span class="cm-string">'CY'</span>,<span class="cm-string">'CZ'</span>,<span class="cm-string">'DE'</span>,<span class="cm-string">'DK'</span>,<span class="cm-string">'EE'</span>,<span class="cm-string">'EL'</span>,<span class="cm-string">'IE'</span>,<span class="cm-string">'ES'</span>,<span class="cm-string">'FI'</span>,\</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-string">'IS'</span>,<span class="cm-string">'PT'</span>,<span class="cm-string">'RO'</span>,<span class="cm-string">'RS'</span>,<span class="cm-string">'SE'</span>,<span class="cm-string">'SI'</span>,<span class="cm-string">'SK'</span>,<span class="cm-string">'TR'</span>,<span class="cm-string">'UK'</span>,<span class="cm-string">'NO'</span>,<span class="cm-string">'IT'</span>,<span class="cm-string">'LI'</span>,<span class="cm-string">'LT'</span>,<span class="cm-string">'LU'</span>,<span class="cm-string">'LV'</span>,<span class="cm-string">'ME'</span>,<span class="cm-string">'MK'</span>,\</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-string">'MT'</span>,<span class="cm-string">'NL'</span>,<span class="cm-string">'PL'</span>]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">CountryID</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"CountryID"</span>][:,:]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">Time_MaxCSRed</span><span class="cm-operator">=</span>[]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">Val_MaxCSRed</span><span class="cm-operator">=</span>[]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-keyword">for</span> <span class="cm-variable">iTime</span>,<span class="cm-variable">Time</span> <span class="cm-keyword">in</span> <span class="cm-builtin">enumerate</span>(<span class="cm-variable">time</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-builtin">print</span>(<span class="cm-variable">iTime</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">Gcs_max_control</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"Gcs_max_control"</span>][<span class="cm-variable">iTime</span>,:,:].<span class="cm-property">data</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">Gcs_max_eclipse</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"Gcs_max_eclipse"</span>][<span class="cm-variable">iTime</span>,:,:].<span class="cm-property">data</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">dGcs</span><span class="cm-operator">=</span><span class="cm-variable">Gcs_max_control</span><span class="cm-operator">-</span><span class="cm-variable">Gcs_max_eclipse</span> </span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> </span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">for</span> <span class="cm-variable">iCnty</span>,<span class="cm-variable">CTY</span> <span class="cm-keyword">in</span> <span class="cm-builtin">enumerate</span>(<span class="cm-variable">CountryID</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">tAvgGcsRed</span><span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">mean</span>(<span class="cm-variable">dGcs</span>[<span class="cm-variable">CountryID</span><span class="cm-operator">==</span><span class="cm-variable">iCnty</span><span class="cm-operator">+</span><span class="cm-number">1</span>])</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> </span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">if</span> <span class="cm-variable">iTime</span><span class="cm-operator">==</span><span class="cm-number">0</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">Time_MaxCSRed</span>.<span class="cm-property">append</span>(<span class="cm-variable">Time</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">Val_MaxCSRed</span>.<span class="cm-property">append</span>(<span class="cm-variable">tAvgGcsRed</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">else</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">if</span> (<span class="cm-variable">Val_MaxCSRed</span>[<span class="cm-variable">iCnty</span>]<span class="cm-operator"><</span><span class="cm-variable">tAvgGcsRed</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">Time_MaxCSRed</span>[<span class="cm-variable">iCnty</span>]<span class="cm-operator">=</span><span class="cm-variable">Time</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">Val_MaxCSRed</span>[<span class="cm-variable">iCnty</span>]<span class="cm-operator">=</span><span class="cm-variable">tAvgGcsRed</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 470px;"></div><div class="CodeMirror-gutters" style="display: none; height: 501px;"></div></div></div></div></div></div><div class="output_wrapper"><div class="out_prompt_overlay prompt" title="cliquer pour faire défiler la sortie vers le haut ; double-cliquer pour masquer"></div><div class="output output_scroll"><div class="output_area"><div class="run_this_cell"></div><div class="prompt"></div><div class="output_subarea output_text output_stream output_stdout" dir="auto"><pre>0
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</pre></div></div></div><div style="display: none;" class="btn btn-default output_collapsed" title="cliquer pour afficher toute la sortie">. . .</div></div></div><div class="cell text_cell rendered unselected" tabindex="2"><div class="prompt input_prompt"></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit Markup Text here"><div class="CodeMirror cm-s-default CodeMirror-wrap"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 5.6001px; left: 4px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; padding-right: 0px; padding-bottom: 0px; margin-bottom: -19px; border-right-width: 31px; min-height: 32px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"><pre class="CodeMirror-line-like"><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors"><div class="CodeMirror-cursor" style="left: 4px; top: 0px; height: 20.35px;"> </div></div><div class="CodeMirror-code" role="presentation"><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-header cm-header-3">### Preparation of the raster to display the maximal impact of the eclipse per country</span></span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 32px;"></div><div class="CodeMirror-gutters" style="display: none; height: 63px;"></div></div></div></div><div class="text_cell_render rendered_html" tabindex="-1" dir="ltr"><h3 id="Preparation-of-the-raster-to-display-the-maximal-impact-of-the-eclipse-per-country">Preparation of the raster to display the maximal impact of the eclipse per country<a class="anchor-link" href="#Preparation-of-the-raster-to-display-the-maximal-impact-of-the-eclipse-per-country">¶</a></h3>
</div></div></div><div class="cell code_cell unselected rendered" tabindex="2"><div class="input"><div class="prompt_container"><div class="prompt input_prompt"><bdi>Entrée</bdi> [53]:</div><div class="run_this_cell" title="Run this cell"><i class="fa-step-forward fa"></i></div></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit code here"><div class="CodeMirror cm-s-ipython"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 5.59998px; left: 4px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; min-width: 659.133px; margin-bottom: -19px; border-right-width: 31px; min-height: 283px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"><pre class="CodeMirror-line-like"><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors"><div class="CodeMirror-cursor" style="left: 4px; top: 0px; height: 17px;"> </div></div><div class="CodeMirror-code" role="presentation" style=""><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">lat</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"latitude"</span>][:,:]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">lon</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"longitude"</span>][:,:]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">MapCNTYRed</span><span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">zeros</span>(<span class="cm-variable">lon</span>.<span class="cm-property">shape</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-keyword">for</span> <span class="cm-variable">iCnty</span>,<span class="cm-variable">CTY</span> <span class="cm-keyword">in</span> <span class="cm-builtin">enumerate</span>(<span class="cm-variable">CountryID</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> </span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">if</span> <span class="cm-variable">iCnty</span><span class="cm-operator">==</span><span class="cm-number">0</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">CountryLat</span><span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">mean</span>(<span class="cm-variable">lat</span>[<span class="cm-variable">MapCNTYID</span><span class="cm-operator">==</span><span class="cm-variable">iCnty</span><span class="cm-operator">+</span><span class="cm-number">1</span>])</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">CountryLon</span><span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">mean</span>(<span class="cm-variable">lon</span>[<span class="cm-variable">MapCNTYID</span><span class="cm-operator">==</span><span class="cm-variable">iCnty</span><span class="cm-operator">+</span><span class="cm-number">1</span>])</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">else</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">CountryLat</span><span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">append</span>(<span class="cm-variable">CountryLat</span>,<span class="cm-variable">np</span>.<span class="cm-property">mean</span>(<span class="cm-variable">lat</span>[<span class="cm-variable">MapCNTYID</span><span class="cm-operator">==</span><span class="cm-variable">iCnty</span><span class="cm-operator">+</span><span class="cm-number">1</span>]))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">CountryLon</span><span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">append</span>(<span class="cm-variable">CountryLon</span>,<span class="cm-variable">np</span>.<span class="cm-property">mean</span>(<span class="cm-variable">lon</span>[<span class="cm-variable">MapCNTYID</span><span class="cm-operator">==</span><span class="cm-variable">iCnty</span><span class="cm-operator">+</span><span class="cm-number">1</span>]))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> </span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">if</span> <span class="cm-keyword">not</span> <span class="cm-variable">np</span>.<span class="cm-property">isin</span>(<span class="cm-variable">CTY</span>,[<span class="cm-string">'NO'</span>,<span class="cm-string">'IS'</span>,<span class="cm-string">'SE'</span>,<span class="cm-string">'FI'</span>,<span class="cm-string">'TR'</span>]):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">MapCNTYRed</span>[<span class="cm-variable">MapCNTYID</span><span class="cm-operator">==</span><span class="cm-variable">iCnty</span><span class="cm-operator">+</span><span class="cm-number">1</span>]<span class="cm-operator">=</span><span class="cm-variable">Val_MaxCSRed</span>[<span class="cm-variable">iCnty</span>]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 283px;"></div><div class="CodeMirror-gutters" style="display: none; height: 314px;"></div></div></div></div></div></div><div class="output_wrapper"><div class="out_prompt_overlay prompt" title="cliquer pour afficher toute la sortie ; double-cliquer pour masquer la sortie"></div><div class="output"></div><div style="display: none;" class="btn btn-default output_collapsed" title="cliquer pour afficher toute la sortie">. . .</div></div></div><div class="cell text_cell unselected rendered" tabindex="2"><div class="prompt input_prompt"></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit Markup Text here"><div class="CodeMirror cm-s-default CodeMirror-wrap"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 5.6001px; left: 4px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; padding-right: 0px; padding-bottom: 0px; margin-bottom: -19px; border-right-width: 31px; min-height: 32px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"><pre class="CodeMirror-line-like"><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors"><div class="CodeMirror-cursor" style="left: 4px; top: 0px; height: 20.35px;"> </div></div><div class="CodeMirror-code" role="presentation"><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-header cm-header-3">### plot of the results</span></span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 32px;"></div><div class="CodeMirror-gutters" style="display: none; height: 63px;"></div></div></div></div><div class="text_cell_render rendered_html" tabindex="-1" dir="ltr"><h3 id="plot-of-the-results">plot of the results<a class="anchor-link" href="#plot-of-the-results">¶</a></h3>
</div></div></div><div class="cell code_cell unselected rendered" tabindex="2"><div class="input"><div class="prompt_container"><div class="prompt input_prompt"><bdi>Entrée</bdi> [60]:</div><div class="run_this_cell" title="Run this cell"><i class="fa-step-forward fa"></i></div></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit code here"><div class="CodeMirror cm-s-ipython"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 5.60001px; left: 4px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; min-width: 909.267px; margin-bottom: -19px; border-right-width: 31px; min-height: 334px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"><pre class="CodeMirror-line-like"><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors"><div class="CodeMirror-cursor" style="left: 4px; top: 0px; height: 17px;"> </div></div><div class="CodeMirror-code" role="presentation" style=""><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">figure</span>(<span class="cm-variable">figsize</span><span class="cm-operator">=</span>(<span class="cm-number">20</span>,<span class="cm-number">15</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">ixSC</span><span class="cm-operator">=</span>(<span class="cm-variable">MapCNTYID</span><span class="cm-operator">></span><span class="cm-number">0</span>) <span class="cm-operator">&</span> (<span class="cm-variable">MapCNTYRed</span><span class="cm-operator">></span><span class="cm-number">0</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">orig_map</span><span class="cm-operator">=</span><span class="cm-variable">plt</span>.<span class="cm-property">cm</span>.<span class="cm-property">get_cmap</span>(<span class="cm-string">'viridis'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">reversed_map</span> <span class="cm-operator">=</span> <span class="cm-variable">orig_map</span>.<span class="cm-property">reversed</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">CLR</span><span class="cm-operator">=</span><span class="cm-variable">plt</span>.<span class="cm-property">scatter</span>(<span class="cm-variable">lon</span>[<span class="cm-variable">ixSC</span>],<span class="cm-variable">lat</span>[<span class="cm-variable">ixSC</span>],<span class="cm-variable">c</span><span class="cm-operator">=</span><span class="cm-variable">MapCNTYRed</span>[<span class="cm-variable">ixSC</span>],<span class="cm-variable">cmap</span><span class="cm-operator">=</span><span class="cm-variable">reversed_map</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-keyword">for</span> <span class="cm-variable">iCnty</span>,<span class="cm-variable">CTY</span> <span class="cm-keyword">in</span> <span class="cm-builtin">enumerate</span>(<span class="cm-variable">CountryID</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">Str</span><span class="cm-operator">=</span><span class="cm-variable">CTY</span><span class="cm-operator">+</span><span class="cm-string">"\n"</span><span class="cm-operator">+</span><span class="cm-variable">Time_MaxCSRed</span>[<span class="cm-variable">iCnty</span>].<span class="cm-property">strftime</span>(<span class="cm-string">"%H:%M"</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">if</span> (<span class="cm-variable">CountryLat</span>[<span class="cm-variable">iCnty</span>]<span class="cm-operator"><</span><span class="cm-number">60</span>) <span class="cm-operator">&</span> (<span class="cm-variable">CountryLon</span>[<span class="cm-variable">iCnty</span>]<span class="cm-operator"><</span><span class="cm-number">30</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">if</span> <span class="cm-variable">Val_MaxCSRed</span>[<span class="cm-variable">iCnty</span>]<span class="cm-operator"><</span><span class="cm-number">80</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">plt</span>.<span class="cm-property">text</span>(<span class="cm-variable">CountryLon</span>[<span class="cm-variable">iCnty</span>],<span class="cm-variable">CountryLat</span>[<span class="cm-variable">iCnty</span>],<span class="cm-variable">Str</span>,<span class="cm-variable">ha</span><span class="cm-operator">=</span><span class="cm-string">'center'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">16</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">else</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">plt</span>.<span class="cm-property">text</span>(<span class="cm-variable">CountryLon</span>[<span class="cm-variable">iCnty</span>],<span class="cm-variable">CountryLat</span>[<span class="cm-variable">iCnty</span>],<span class="cm-variable">Str</span>,<span class="cm-variable">color</span><span class="cm-operator">=</span><span class="cm-string">'w'</span>,<span class="cm-variable">ha</span><span class="cm-operator">=</span><span class="cm-string">'center'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">16</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">cbar</span> <span class="cm-operator">=</span> <span class="cm-variable">plt</span>.<span class="cm-property">colorbar</span>(<span class="cm-variable">CLR</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">cbar</span>.<span class="cm-property">set_label</span>(<span class="cm-string">'Maximal reduction of the clear sky irradiance due to the eclipse [W/m2]'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">xlabel</span>(<span class="cm-string">'longitude [°]'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">ylabel</span>(<span class="cm-string">'latitude [°]'</span>,<span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">18</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">plt</span>.<span class="cm-property">title</span>(<span class="cm-string">'Magnitude and time of the maximal impact \n of the eclipse on the clear sky irradiance'</span>,\</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">26</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 334px;"></div><div class="CodeMirror-gutters" style="display: none; height: 365px;"></div></div></div></div></div></div><div class="output_wrapper"><div class="out_prompt_overlay prompt" title="cliquer pour afficher toute la sortie ; double-cliquer pour masquer la sortie"></div><div class="output"><div class="output_area"><div class="run_this_cell"></div><div class="prompt output_prompt"><bdi>Out[60]:</bdi></div><div class="output_subarea output_text output_result" dir="auto"><pre>Text(0.5, 1.0, 'Magnitude and time of the maximal impact \n of the eclipse on the clear sky irradiance')</pre></div></div><div class="output_area"><div class="run_this_cell"></div><div class="prompt"></div><div class="output_subarea output_png" dir="auto"><img 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
"></div></div></div><div style="display: none;" class="btn btn-default output_collapsed" title="cliquer pour afficher toute la sortie">. . .</div></div></div><div class="cell text_cell unselected rendered" tabindex="2"><div class="prompt input_prompt"></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit Markup Text here"><div class="CodeMirror cm-s-default CodeMirror-wrap"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 5.6001px; left: 4px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; padding-right: 0px; padding-bottom: 0px; margin-bottom: -19px; border-right-width: 31px; min-height: 32px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"><pre class="CodeMirror-line-like"><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors"><div class="CodeMirror-cursor" style="left: 4px; top: 0px; height: 20.35px;"> </div></div><div class="CodeMirror-code" role="presentation"><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-header cm-header-3">### Time series of the country averaged effect of the eclipse for a selected number of countries </span></span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 32px;"></div><div class="CodeMirror-gutters" style="display: none; height: 63px;"></div></div></div></div><div class="text_cell_render rendered_html" tabindex="-1" dir="ltr"><h3 id="Time-series-of-the-country-averaged-effect-of-the-eclipse-for-a-selected-number-of-countries">Time series of the country averaged effect of the eclipse for a selected number of countries<a class="anchor-link" href="#Time-series-of-the-country-averaged-effect-of-the-eclipse-for-a-selected-number-of-countries">¶</a></h3>
</div></div></div><div class="cell code_cell rendered unselected" tabindex="2"><div class="input"><div class="prompt_container"><div class="prompt input_prompt"><bdi>Entrée</bdi> [9]:</div><div class="run_this_cell" title="Run this cell"><i class="fa-step-forward fa"></i></div></div><div class="inner_cell"><div class="ctb_hideshow"><div class="celltoolbar"></div></div><div class="input_area" aria-label="Edit code here"><div class="CodeMirror cm-s-ipython"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 311.6px; left: 227.333px;"><textarea style="position: absolute; bottom: -1em; padding: 0px; width: 1px; height: 1em; outline: currentcolor none medium;" autocorrect="off" autocapitalize="off" spellcheck="false" tabindex="0" wrap="off"></textarea></div><div class="CodeMirror-vscrollbar" tabindex="-1" cm-not-content="true" style="bottom: 0px;"><div style="min-width: 1px; height: 0px;"></div></div><div class="CodeMirror-hscrollbar" tabindex="-1" cm-not-content="true"><div style="height: 100%; min-height: 1px; width: 0px;"></div></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1" draggable="true"><div class="CodeMirror-sizer" style="margin-left: 0px; min-width: 873.533px; margin-bottom: -19px; border-right-width: 31px; min-height: 453px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div style="position: relative; outline: currentcolor none medium;" role="presentation"><div class="CodeMirror-measure"></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-cursors" style=""><div class="CodeMirror-cursor" style="left: 227.333px; top: 306px; height: 17px;"> </div></div><div class="CodeMirror-code" role="presentation" style=""><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">time</span><span class="cm-operator">=</span>[<span class="cm-variable">dt</span>.<span class="cm-property">datetime</span>(<span class="cm-number">2000</span>,<span class="cm-number">1</span>,<span class="cm-number">1</span>,<span class="cm-number">0</span>,<span class="cm-number">0</span>)<span class="cm-operator">+</span><span class="cm-variable">dt</span>.<span class="cm-property">timedelta</span>(<span class="cm-variable">seconds</span><span class="cm-operator">=</span><span class="cm-builtin">int</span>(<span class="cm-variable">x</span>)) <span class="cm-keyword">for</span> <span class="cm-variable">x</span> <span class="cm-keyword">in</span> <span class="cm-variable">data_nc</span>[<span class="cm-string">"time"</span>][:].<span class="cm-property">data</span>]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">CountryID</span><span class="cm-operator">=</span>[<span class="cm-string">'FR'</span>,<span class="cm-string">'HR'</span>,<span class="cm-string">'HU'</span>,<span class="cm-string">'AL'</span>,<span class="cm-string">'AT'</span>,<span class="cm-string">'BE'</span>,<span class="cm-string">'BG'</span>,<span class="cm-string">'CH'</span>,<span class="cm-string">'CY'</span>,<span class="cm-string">'CZ'</span>,<span class="cm-string">'DE'</span>,<span class="cm-string">'DK'</span>,<span class="cm-string">'EE'</span>,<span class="cm-string">'EL'</span>,<span class="cm-string">'IE'</span>,<span class="cm-string">'ES'</span>,<span class="cm-string">'FI'</span>,\</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-string">'IS'</span>,<span class="cm-string">'PT'</span>,<span class="cm-string">'RO'</span>,<span class="cm-string">'RS'</span>,<span class="cm-string">'SE'</span>,<span class="cm-string">'SI'</span>,<span class="cm-string">'SK'</span>,<span class="cm-string">'TR'</span>,<span class="cm-string">'UK'</span>,<span class="cm-string">'NO'</span>,<span class="cm-string">'IT'</span>,<span class="cm-string">'LI'</span>,<span class="cm-string">'LT'</span>,<span class="cm-string">'LU'</span>,<span class="cm-string">'LV'</span>,<span class="cm-string">'ME'</span>,<span class="cm-string">'MK'</span>,\</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-string">'MT'</span>,<span class="cm-string">'NL'</span>,<span class="cm-string">'PL'</span>]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">MapCNTYID</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"CountryID"</span>][:,:]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">SelectedCNTY</span><span class="cm-operator">=</span>[<span class="cm-string">'IE'</span>, <span class="cm-string">'UK'</span>, <span class="cm-string">'DK'</span>, <span class="cm-string">'EE'</span> , <span class="cm-string">'FR'</span>, <span class="cm-string">'BE'</span>, <span class="cm-string">'DE'</span>, <span class="cm-string">'PL'</span> , <span class="cm-string">'PT'</span>, <span class="cm-string">'ES'</span>, <span class="cm-string">'IT'</span>, <span class="cm-string">'RO'</span>]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">AvgGcsControl</span><span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">zeros</span>((<span class="cm-builtin">len</span>(<span class="cm-variable">time</span>),<span class="cm-builtin">len</span>(<span class="cm-variable">SelectedCNTY</span>)))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-variable">AvgGcsEclipse</span><span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">zeros</span>((<span class="cm-builtin">len</span>(<span class="cm-variable">time</span>),<span class="cm-builtin">len</span>(<span class="cm-variable">SelectedCNTY</span>)))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span class="cm-keyword">for</span> <span class="cm-variable">iTime</span>,<span class="cm-variable">Time</span> <span class="cm-keyword">in</span> <span class="cm-builtin">enumerate</span>(<span class="cm-variable">time</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-builtin">print</span>(<span class="cm-variable">iTime</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">tGcsRef</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"Gcs_max_control"</span>][<span class="cm-variable">iTime</span>,:,:].<span class="cm-property">data</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">tGcsEcl</span><span class="cm-operator">=</span><span class="cm-variable">data_nc</span>[<span class="cm-string">"Gcs_max_eclipse"</span>][<span class="cm-variable">iTime</span>,:,:].<span class="cm-property">data</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"><span cm-text=""></span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">for</span> <span class="cm-variable">iCNTY0</span>,<span class="cm-variable">CNTY</span> <span class="cm-keyword">in</span> <span class="cm-builtin">enumerate</span>(<span class="cm-variable">SelectedCNTY</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> </span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">for</span> <span class="cm-variable">j</span>,<span class="cm-variable">X</span> <span class="cm-keyword">in</span> <span class="cm-builtin">enumerate</span>(<span class="cm-variable">CountryID</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">if</span> <span class="cm-variable">CNTY</span><span class="cm-operator">==</span><span class="cm-variable">X</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">iCNTY</span><span class="cm-operator">=</span><span class="cm-variable">j</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> </span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-keyword">for</span> <span class="cm-variable">iCnty</span>,<span class="cm-variable">CTY</span> <span class="cm-keyword">in</span> <span class="cm-builtin">enumerate</span>(<span class="cm-variable">CountryID</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">AvgGcsControl</span>[<span class="cm-variable">iTime</span>,<span class="cm-variable">iCNTY0</span>]<span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">mean</span>(<span class="cm-variable">tGcsRef</span>[<span class="cm-variable">MapCNTYID</span><span class="cm-operator">==</span><span class="cm-variable">iCNTY</span><span class="cm-operator">+</span><span class="cm-number">1</span>])</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> <span class="cm-variable">AvgGcsEclipse</span>[<span class="cm-variable">iTime</span>,<span class="cm-variable">iCNTY0</span>]<span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">mean</span>(<span class="cm-variable">tGcsEcl</span>[<span class="cm-variable">MapCNTYID</span><span class="cm-operator">==</span><span class="cm-variable">iCNTY</span><span class="cm-operator">+</span><span class="cm-number">1</span>])</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation"> </span></pre></div></div></div></div></div><div style="position: absolute; height: 31px; width: 1px; border-bottom: 0px solid transparent; top: 453px;"></div><div class="CodeMirror-gutters" style="display: none; height: 484px;"></div></div></div></div></div></div><div class="output_wrapper"><div class="out_prompt_overlay prompt" title="cliquer pour faire défiler la sortie vers le haut ; double-cliquer pour masquer"></div><div class="output output_scroll"><div class="output_area"><div class="run_this_cell"></div><div class="prompt"></div><div class="output_subarea output_text output_stream output_stdout" dir="auto"><pre>0
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