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q01_get_total_deliveries_players/build.py

@@ -1,7 +1,23 @@
+# %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):
+
+
+    data_of_batsman = ipl_matches_array[:,13] # to store batsman column data
+
+
+    total_number_of_deliveries = len(data_of_batsman[ data_of_batsman == batsman])
+    return total_number_of_deliveries
+
+
+player_name = 'SR Tendulkar'.encode()
+get_total_deliveries_played(player_name)
+
+
+
 

q02_get_wicket_delivery_numbers_array/build.py

@@ -1,7 +1,21 @@
+# %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):
+
+    player_out = ipl_matches_array[:,20] # extracting column player_out
+
+    #extracting delivery column
+    deliveries = ipl_matches_array[:, 11] 
+
+    return (deliveries[player_out == player]) # returning 
+
+
+player_name = b'ST Jayasuriya'
+get_wicket_delivery_numbers_array(player_name)
+
 

q03_get_toss_win_count/build.py

@@ -1,7 +1,28 @@
+# %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):
+
+
+    #team = team.encode() #to convert string into byte
+
+    #list of unique matches
+    unique_matches = np.unique(ipl_matches_array[:, [0,3,4,5]],axis = 0)
+
+
+    #comparing team name with unique matches then select column which has data of team who win toss
+    #count = len(unique_matches[unique_matches[:,3] == team][:,3])
+
+    return len(unique_matches[unique_matches[:,3] == team][:,3])
+
+
+team_name = b'Mumbai Indians'
+get_toss_win_count(team_name)
+
+
+

q04_get_all_sixes_filter/build.py

@@ -1,7 +1,21 @@
+# %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():
+
+
+    runs =  ipl_matches_array[:,16].astype(np.int16)
+
+    runs_score_six = runs == 6
+
+
+    return runs_score_six 
+
+get_all_sixes_filter()
+
+
 

q05_create_delivery_series/build.py

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

q06_create_runs_series/build.py

@@ -1,7 +1,20 @@
+# %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):
+
+    match_data =  ipl_matches_array[ipl_matches_array[:,0] == match_code] 
+    delivery = pd.Series(match_data[:,11])
+    runs_series = pd.Series(match_data[:,16], index = delivery)
+
+    return runs_series
+
+match_code= b'392203'
+create_runs_series(match_code)
+
+