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q01_get_total_deliveries_players/build.py

@@ -1,7 +1,23 @@
-# Default imports
+#%load q01_get_total_deliveries_players/build.py
+
 import numpy as np
 
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+path='./data/ipl_matches_small.csv'
+
+def get_total_deliveries_played(batsman) :
+
+#ST Jayasuriya
+    arr=np.genfromtxt(path,delimiter=',',dtype='|S50',skip_header=1)
+    arr1=arr[:,13]
+
+    #arr2=np.count_nonzero(ar1=='bt')
+    #arr3=[arr1==bt]
+
+    return np.count_nonzero(arr1==batsman)
+
+    #print(arr1==bt)
+
+get_total_deliveries_played(b'SR Tendulkar')
+
 
-# Your Solution
 

q02_get_wicket_delivery_numbers_array/build.py

@@ -1,7 +1,20 @@
-#Default Imports
+#%load q02_get_wicket_delivery_numbers_array/build.py
 import numpy as np
 
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+path='./data/ipl_matches_small.csv'
+
+def get_wicket_delivery_numbers_array(player):
+
+
+    arr=np.genfromtxt(path,delimiter=',',dtype='|S20',skip_header=1)
+    arr1=(arr[:,20]==player)
+    #print(arr[:,11:20])
+    #print(arr[:,11][arr1])
+
+    return arr[:,11][arr1]
+
+
+get_wicket_delivery_numbers_array(b'Harbhajan Singh')
+
 
-#Your Solution
 

q03_get_toss_win_count/build.py

@@ -1,7 +1,18 @@
-#Default Imports
+#%load q03_get_toss_win_count/build.py
+
 import numpy as np
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
 
+path='./data/ipl_matches_small.csv'
+
+def get_toss_win_count(team):
+
+
+    arr=np.genfromtxt(path,delimiter=',',dtype='|S20',skip_header=1 )
+    arr1=(arr[:,5]==b'Mumbai Indians')
+    #print(np.unique(arr[:,0:1][arr1]).size)
+    cnt=np.unique(arr[:,0:1][arr1]).size
+    return cnt
+
+b'Mumbai Indians'
 
-#Your Solution
 

q04_get_all_sixes_filter/build.py

@@ -1,7 +1,23 @@
-#Default Imports
+#%load q04_get_all_sixes_filter/build.py
+
+
 import numpy as np
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
 
 
-#Your Solution
+path='./data/ipl_matches_small.csv'
+
+def get_all_sixes_filter():
+
+
+    ipl_matches_array=np.genfromtxt(path,delimiter=',',dtype='|S50',skip_header=1)
+    #arr_6=(arr[:,16]==b'6')
+
+    return ipl_matches_array[:,16].astype(np.int16)==6
+
+
+get_all_sixes_filter()
+
+
+
+
 

q05_create_delivery_series/build.py

@@ -1,7 +1,17 @@
-#Default Imports
+#%load q05_create_delivery_series/build.py
 import pandas as pd
 import numpy as np
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+path='./data/ipl_matches_small.csv'
+def create_delivery_series():
+    #df=pd.read_csv('./data/ipl_matches_small.csv')
+
+    data=np.genfromtxt(path,delimiter=',',skip_header=1,dtype='|S20')
+    delivery=pd.Series(data[:,11])
+
+
+    return delivery
+
+create_delivery_series()
+
 
-#Your Solution
 

q06_create_runs_series/build.py

@@ -1,7 +1,29 @@
-#Default Imports
+#%load q06_create_runs_series/build.py
+
 import pandas as pd
 import numpy as np
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
 
-#Your Solution
+
+path='./data/ipl_matches_small.csv'
+
+def create_runs_series(match_code):
+    arr=np.genfromtxt(path,skip_header=1,dtype='|S50',delimiter=',')
+    #arr1=arr[:,0]
+    #arr2=arr1[arr1==392203]arr
+    arr2=(arr[:,0]==match_code)
+   #arr1[arr1==392203]
+
+    delivery=arr[:,11][arr2]
+    runs=arr[:,16][arr2]
+
+    sr1=pd.Series(runs,delivery)
+
+    return(sr1)
+
+
+create_runs_series(b'392203')
+
+
+
+