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q01_get_total_deliveries_players/build.py

@@ -1,7 +1,17 @@
+# %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))) 
+
+
 
-# Your Solution
 

q02_get_wicket_delivery_numbers_array/build.py

@@ -1,7 +1,14 @@
+# %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_out):
+    total = (ipl_matches_array[ipl_matches_array[:,-3]==player_out])[:,-12]
+    return total
+
+
+

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=',')
 
 
 #Your Solution
+def get_toss_win_count(team):
+    toss_win_match=[]
+    ipl=ipl_matches_array[:,[0,5]]
+    for matches in ipl:
+        if matches[1] == team:
+            toss_win_match.append(matches[0])
+    return int(len(set(toss_win_match)))    
+get_toss_win_count(b'Mumbai Indians')
+
+
 

q04_get_all_sixes_filter/build.py

@@ -1,7 +1,13 @@
+# %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():
+    sixes= ipl_matches_array[:,-7].astype(np.int)==6
+    return sixes  
+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():
+    deliveries_array= ipl_matches_array[:,11]
+    result= pd.Series(deliveries_array)
+    return result
+
+type(create_delivery_series())
+
+
 

q06_create_runs_series/build.py

@@ -1,7 +1,19 @@
+# %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):
+    ipl_data=ipl_matches_array[:,[0,11,16]]
+    ipl_df=pd.DataFrame(ipl_data)
+    ipl_df=ipl_df.loc[ipl_df[0]==match_code]
+    ipl_series=pd.Series(ipl_df[2].values,index=ipl_df[1])
+    return ipl_series
+create_runs_series(b'392203')
+
+
+
+