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q01_get_total_deliveries_players/build.py

@@ -1,7 +1,19 @@
+# %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=',')
+def get_total_deliveries_played(batsman):
+    bat = ipl_matches_array[:,13]
+    runs = []
+    for x in ipl_matches_array[1:]:
+        if x[13] == batsman:
+            runs.append(x[11])
+    return len(np.int32(np.float32(runs)))
 
+get_total_deliveries_played(b'SR Tendulkar')
 # Your Solution
 
+
+
+

q02_get_wicket_delivery_numbers_array/build.py

@@ -1,7 +1,19 @@
+# %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=',')
+def get_wicket_delivery_numbers_array(player):
+    result_array = np.array([])
+    for i, x in enumerate(ipl_matches_array):
+        if x[-3] == player:
+            if len(x[-3])>2:
+                result = x[11]
+                result_array = np.append(result_array, result)
+    return result_array
 
 #Your Solution
 
+
+
+

q03_get_toss_win_count/build.py

@@ -1,7 +1,18 @@
+# %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=',')
 
+def get_toss_win_count(player):
+    teams = np.array([])
+    for x in ipl_matches_array:
+        if x[3]==player or x[4]==player:
+            team= (x[5])
+            teams= np.append(teams, team)
+    return len(set(teams))
 
 #Your Solution
 
+
+
+

q04_get_all_sixes_filter/build.py

@@ -1,7 +1,14 @@
+# %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=',')
+def get_all_sixes_filter():
+    six = (ipl_matches_array[:, 16].astype(np.int16) == 6)
+    return six
 
 #Your Solution
 
+
+
+
+

q05_create_delivery_series/build.py

@@ -1,7 +1,15 @@
+# %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=',')
+def create_delivery_series():
+    Delivery = pd.Series(ipl_matches_array[:,11])
+    return Delivery
 
 #Your Solution
 
+
+
+
+

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=',')
+def create_runs_series(match_code):
+    delivery = pd.Series(ipl_matches_array[:,16], index=[ipl_matches_array[:,11]])
+    return delivery
 
 #Your Solution
 
+
+
+