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q01_get_total_deliveries_players/build.py

@@ -1,7 +1,9 @@
+# %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):
+    return np.array([x[0] for x in ipl_matches_array[:, 13:14] if x[0] == batsman]).size

q02_get_wicket_delivery_numbers_array/build.py

@@ -1,7 +1,11 @@
+# %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):
+    deliveries = ipl_matches_array[:, 11:12]
+    return deliveries[ipl_matches_array[:, 20:21] == player]

q03_get_toss_win_count/build.py

@@ -4,4 +4,6 @@
 
 
 #Your Solution
-
+def get_toss_win_count(team="Mumbai Indians"):
+    matches = ipl_matches_array[:, 0:1]
+    return np.unique(matches[ipl_matches_array[:, 5:6] == team]).size

q04_get_all_sixes_filter/build.py

@@ -4,4 +4,5 @@
 
 
 #Your Solution
-
+def get_all_sixes_filter():
+    return ipl_matches_array[:, 16].astype(np.int16) == 6

q05_create_delivery_series/build.py

@@ -4,4 +4,6 @@
 ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
 
 #Your Solution
-
+def create_delivery_series():
+    delivery = pd.Series(ipl_matches_array[:, 11])
+    return delivery