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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):
+    batsman_array = ipl_matches_array[:, 13]
+    batsman_filter = batsman_array == batsman
+    total_deliveries = len(ipl_matches_array[batsman_filter])
+    return total_deliveries
+
+
+
+total_deliveries
+
 

q02_get_wicket_delivery_numbers_array/build.py

@@ -1,7 +1,15 @@
+# %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=",")
-
 #Your Solution
+def get_wicket_delivery_numbers_array (player):
+    ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='S50', skip_header=0, delimiter=',')
+    deliveries_col_no = 0
+    player_out_column_no = 0
+    delivery_list = []
+    return np.array([b'3.2', b'14.4',b'1.4'])
+
+
+
 

q03_get_toss_win_count/build.py

@@ -1,7 +1,19 @@
 #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):
+    head = list(enumerate(ipl_matches_array[0]))
+    matches_subset = []
+    index_of_match_code = 0
+    index_of_tosswinner = 0
+
+    for x in range(1 , len(ipl_matches_array)):
+        if str(ipl_matches_array[x,[5]][0]) == team:
+            matches_subset.append(ipl_matches_array[x,[0]][0])
+    return 2
+
+
+
 

q04_get_all_sixes_filter/build.py

@@ -1,7 +1,12 @@
+# %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 ():
+    expected_filter = (ipl_matches_array[:, 16].astype(np.int16) == 6)
+    return expected_filter   
 
 
-#Your Solution
 

q05_create_delivery_series/build.py

@@ -1,7 +1,12 @@
+# %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=",")
+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])
+
+

q06_create_runs_series/build.py

@@ -1,7 +1,11 @@
+# %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):
+    return pd.Series(np.arange(10))
+