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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=',')
+
+def get_total_deliveries_played(batsman):
+        ar2=list(ipl_matches_array[0:,13:14])
+        count = 0
+        for ele in ar2: 
+            if (ele == batsman): 
+                count = count + 1
+        return count
+
+
+get_total_deliveries_played(b'ST Jayasuriya')
 
-# Your Solution
 

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=",")
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
+
+def get_wicket_delivery_numbers_array(batsman):
+    delivery = ipl_matches_array[:,11] # delievery column which has to be given in op is considered as main dataset
+    playerout = ipl_matches_array[:,20]==batsman # [create filter: batsman] accesssing the column playerout 
+    return delivery[playerout] #apply the filter in the main data(deliveries to get the values)
+
+
+get_wicket_delivery_numbers_array(b'SR Tendulkar')
 
-#Your Solution
 

q03_get_toss_win_count/build.py

@@ -1,7 +1,14 @@
+# %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):
+    toss_win=ipl_matches_array[:,5]==team
+    unique_win_count=np.unique(ipl_matches_array[toss_win,0])
+    return np.count_nonzero(unique_win_count)
+
+
+get_toss_win_count(b'Mumbai Indians')
 

q04_get_all_sixes_filter/build.py

@@ -1,7 +1,17 @@
+# %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():
+    a=[]
+    run_6=ipl_matches_array[:,16].astype(np.int16)==6
+    return run_6
+
+
+
+
+
+get_all_sixes_filter()
 
-#Your Solution
 

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

q06_create_runs_series/build.py

@@ -1,7 +1,16 @@
+# %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):
+    runs=ipl_matches_array[:,16]
+    delivery=ipl_matches_array[:,11]
+    return pd.Series(runs,delivery)
+
+
+
+create_runs_series(392203)
 
-#Your Solution