setup.py

# from numpy.distutils.core import setup
from setuptools import setup, find_packages
import pathlib

here = pathlib.Path(__file__).parent.resolve()

# Get the long description from the README file
long_description = (here / 'description.md').read_text(encoding='utf-8')

# Arguments marked as "Required" below must be included for upload to PyPI.
# Fields marked as "Optional" may be commented out.
version='1.2.1'
setup(
    name='stackmaster',
    version=version,
    description='A collection of methods for data stacking',
    author='Xiaotao Yang',
    author_email='stcyang@gmail.com',
    maintainer='Xiaotao Yang',
    maintainer_email='stcyang@gmail.com',
    download_url='https://github.com/xtyangpsp/StackMaster/archive/refs/tags/v'+version+'.tar.gz',

    # This is an optional longer description of your project that represents
    # the body of text which users will see when they visit PyPI.
    #
    # Often, this is the same as your README, so you can just read it in from
    # that file directly (as we have already done above)
    #
    # This field corresponds to the "Description" metadata field:
    # https://packaging.python.org/specifications/core-metadata/#description-optional
    long_description=long_description,  # Optional

    # Denotes that our long_description is in Markdown; valid values are
    # text/plain, text/x-rst, and text/markdown
    #
    # Optional if long_description is written in reStructuredText (rst) but
    # required for plain-text or Markdown; if unspecified, "applications should
    # attempt to render [the long_description] as text/x-rst; charset=UTF-8 and
    # fall back to text/plain if it is not valid rst" (see link below)
    #
    # This field corresponds to the "Description-Content-Type" metadata field:
    # https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
    long_description_content_type='text/markdown',  # Optional (see note above)

    # This should be a valid link to your project's main homepage.
    url='https://github.com/xtyangpsp/StackMaster',  # Optional

    # Classifiers help users find your project by categorizing it.
    #
    # For a list of valid classifiers, see https://pypi.org/classifiers/
    classifiers=[  # Optional
        # How mature is this project? Common values are
        #   3 - Alpha
        #   4 - Beta
        #   5 - Production/Stable
        'Development Status :: 4 - Beta',

        # Pick your license as you wish
        'License :: OSI Approved :: MIT License',

        # Specify the Python versions you support here. In particular, ensure
        # that you indicate you support Python 3. These classifiers are *not*
        # checked by 'pip install'. See instead 'python_requires' below.
        'Programming Language :: Python :: 3.7'
    ],

    # This field adds keywords for your project which will appear on the
    # project page. What does your project relate to?
    #
    # Note that this is a list of additional keywords, separated
    # by commas, to be used to assist searching for the distribution in a
    # larger catalog.
    keywords='seismology, time series, data stacking, seismic toolbox',  # Optional

    # When your source code is in a subdirectory under the project root, e.g.
    # `src/`, it is necessary to specify the `package_dir` argument.
    #package_dir={'': 'src'},  # Optional

    # You can just specify package directories manually here if your project is
    # simple. Or you can use find_packages().
    #
    # Alternatively, if you just want to distribute a single Python file, use
    # the `py_modules` argument instead as follows, which will expect a file
    # called `my_module.py` to exist:
    #
    #   py_modules=["my_module"],
    #
    #packages=find_packages(where='src'),  # Required

    packages=['stackmaster'],
    include_package_data = True,
    package_data={"":["data","figs","notebooks"]},
    # Specify which Python versions you support. In contrast to the
    # 'Programming Language' classifiers above, 'pip install' will check this
    # and refuse to install the project if the version does not match. See
    # https://packaging.python.org/guides/distributing-packages-using-setuptools/#python-requires
    python_requires='>=3.6',

    # This field lists other packages that your project depends on to run.
    # Any package you put here will be installed by pip when your project is
    # installed, so they must be valid existing projects.
    #
    # For an analysis of "install_requires" vs pip's requirements files see:
    # https://packaging.python.org/en/latest/requirements.html
    install_requires=['numpy',
                        'scipy',
                        'pandas',
                        'pyasdf',
                        'tslearn',
                        'stockwell'
        ]
)