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q01_get_total_deliveries_players/build.py

@@ -1,7 +1,15 @@
+# %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):
+    unique, counts = np.unique(ipl_matches_array[:,13], return_counts=True)
+    batsman_count=dict(zip(unique,counts))
+    return int(batsman_count[batsman])
+
+
+
 

q02_get_wicket_delivery_numbers_array/build.py

@@ -1,7 +1,17 @@
+# %load q02_get_wicket_delivery_numbers_array/build.py
+#Default Imports
 #Default Imports
 import numpy as np
 
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+from greyatomlib.numpy_advanced.q01_get_total_deliveries_players.build import ipl_matches_array
 
 #Your Solution
+def get_wicket_delivery_numbers_array(player):
+    wicket_filter = (ipl_matches_array[:, 20] == player)
+    wickets_arr = ipl_matches_array[wicket_filter]
+    return wickets_arr[:, 11]    
+
+
+
+
 

q03_get_toss_win_count/build.py

@@ -1,7 +1,19 @@
+# %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)))    
+
+print(get_toss_win_count('Mumbai Indians'))
+
+

q04_get_all_sixes_filter/build.py

@@ -1,7 +1,14 @@
+# %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[:,16].astype(np.int16)==6
+    return sixes
+
+
+
 

q05_create_delivery_series/build.py

@@ -1,7 +1,15 @@
+# %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 =(ipl_matches_array[:,11])
+    deliveries_series = pd.Series(data=deliveries)
+    return deliveries
+
+print(create_delivery_series())
+
 

q06_create_runs_series/build.py

@@ -1,7 +1,17 @@
+# %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')
+
+