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q01_get_total_deliveries_players/build.py

@@ -1,7 +1,18 @@
+# %load q01_get_total_deliveries_players/build.py
 # Default imports
 import numpy as np
 
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
 # Your Solution
+def get_total_deliveries_played(batsman):
+    batcount = 0
+    #ptn=ipl_matches_array[:,13].astype(np.unicode_)
+    ptn=ipl_matches_array[:,13]
+    batcount = int(np.sum(ptn == batsman))
+    return batcount    
+
+get_total_deliveries_played(b'SR Tendulkar')
+
+
 

q02_get_wicket_delivery_numbers_array/build.py

@@ -1,7 +1,17 @@
+# %load q02_get_wicket_delivery_numbers_array/build.py
 #Default Imports
 import numpy as np
 
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
 #Your Solution
+def get_wicket_delivery_numbers_array(player):
+    #over = ipl_matches_array[:,11].astype(np.unicode_)
+    over = ipl_matches_array[:,11]
+    #btsmn = ipl_matches_array[:,20].astype(np.unicode_)
+    btsmn = ipl_matches_array[:,20]
+    return over[(btsmn == player)]
+
+get_wicket_delivery_numbers_array(b'ST Jayasuriya')
+
 

q03_get_toss_win_count/build.py

@@ -1,7 +1,13 @@
+# %load q03_get_toss_win_count/build.py
 #Default Imports
 import numpy as np
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
-
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
 #Your Solution
+def get_toss_win_count(team):
+    indx=ipl_matches_array[:,0]
+    mtch=ipl_matches_array[:,5]
+    return int(np.count_nonzero(np.unique(indx[(mtch==team)])))   
+get_toss_win_count(b'Mumbai Indians')
+
 

q04_get_all_sixes_filter/build.py

@@ -1,7 +1,13 @@
+# %load q04_get_all_sixes_filter/build.py
 #Default Imports
 import numpy as np
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+ipl_matches_array=np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
 
 #Your Solution
+def get_all_sixes_filter():
+    return (ipl_matches_array[:,16].astype(int) == 6)
+
+get_all_sixes_filter()
+
 

q05_create_delivery_series/build.py

@@ -1,7 +1,14 @@
+# %load q05_create_delivery_series/build.py
 #Default Imports
-import pandas as pd
 import numpy as np
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
-
+import pandas as pd
+ipl_matches_array=np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
+
 #Your Solution
+def create_delivery_series():
+    return pd.Series(ipl_matches_array[:,11])
+
+
+create_delivery_series()
+
 

q06_create_runs_series/build.py

@@ -1,7 +1,14 @@
+# %load q06_create_runs_series/build.py
 #Default Imports
 import pandas as pd
 import numpy as np
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
 #Your Solution
+def create_runs_series(match_code):
+    blt = ipl_matches_array[(ipl_matches_array[:,0] == match_code)]
+    return pd.Series(blt[:,11],index=blt[:,16])
+
+create_runs_series(b'392203')
+