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q01_get_total_deliveries_players/build.py

@@ -1,7 +1,21 @@
+# %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=b'SR Tendulkar'):#function buileded with default parameter batsman
+    batsman_total=ipl_matches_array[:,13:14] #accessing the batsman column from the array for the count
+    batsman_ball_faced=list(batsman_total).count(b'SR Tendulkar') #getting the count of the of the batsman
+    return(batsman_ball_faced)
+
+get_total_deliveries_played()
+
+
+
+
+
+
+

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=0, 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)
+
+
+
+
+
+
+
 
-#Your Solution
 

q03_get_toss_win_count/build.py

@@ -1,7 +1,22 @@
+# %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) #returning the 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=',')
 
 
 #Your Solution
+def get_all_sixes_filter():
+    six_filter = (ipl_matches_array[:, 16].astype(np.int16) == 6)
+    return six_filter
+
+get_all_sixes_filter()
+
+
+
+
 

q05_create_delivery_series/build.py

@@ -1,7 +1,17 @@
+# %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():
+    series=pd.Series(ipl_matches_array[:,11])
+    return series
+
+
+import pandas as pd
+pd.Series(ipl_matches_array[:,11])
+
+

q06_create_runs_series/build.py

@@ -1,7 +1,15 @@
+# %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):
+    runs = ipl_matches_array[:,16]
+    index = ipl_matches_array[:,11]
+    return pd.Series(runs,index)
+
+
+