Commit Live PR

q01_get_total_deliveries_players/build.py

@@ -1,7 +1,16 @@
 # 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):
+    batsman_array = ipl_matches_array[:, 13]
+    batsman_filter = batsman_array == batsman
+    print (batsman_filter)
+    total_deliveries = len(ipl_matches_array[batsman_filter])
+    return total_deliveries
+get_total_deliveries_played('SR Tendulkar')
+
+
 

q02_get_wicket_delivery_numbers_array/build.py

@@ -1,7 +1,20 @@
-#Default Imports
+
 import numpy as np
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
+
+def get_wicket_delivery_numbers_array (batsman):
+    np.set_printoptions(threshold=np.nan)
+    ipl_matches_array[:,20]
+    lenth_player_out = len (ipl_matches_array[:,20])
+    delivery_out = ipl_matches_array[:,11]
+    delivery_out_arr = []
+    player_out = ipl_matches_array[:,20]
+    for i in range (lenth_player_out):
+        if (player_out[i] == batsman):
+            #print ('yes')
+            delivery_out_arr.append(delivery_out[i])
+    return np.array(delivery_out_arr)
+get_wicket_delivery_numbers_array(b'ST Jayasuriya')
 
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
 
-#Your Solution
 

q03_get_toss_win_count/build.py

@@ -1,7 +1,11 @@
-#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_toss_win_count(team= b'Mumbai Indians'):
+    team_records = ipl_matches_array[ipl_matches_array[:, 5] == team]
+    unique_matches = set(team_records[:, 0])
+    return len(unique_matches)
+get_toss_win_count(b'Mumbai Indians')
 
-#Your Solution
 

q04_get_all_sixes_filter/build.py

@@ -1,7 +1,13 @@
-#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():
+    run_scored = ipl_matches_array[:, 16] == (b'6')
+    print (run_scored)
+    return run_scored
+get_all_sixes_filter()
 
-#Your Solution
 

q05_create_delivery_series/build.py

@@ -1,7 +1,13 @@
-#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=",")
 
-#Your Solution
+import numpy as np # linear algebra
+import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
+
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
+
+# Your Solution
+def create_delivery_series():
+    df = pd.Series(ipl_matches_array[:, 11])
+    return df
+create_delivery_series()
+
 

q06_create_runs_series/build.py

@@ -1,7 +1,16 @@
-#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=",")
+import pandas as pd
+
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
+# Your Solution
 #Your Solution
+def create_runs_series(match_code):
+    match = ipl_matches_array[ipl_matches_array[:, 0] == match_code]
+    return pd.Series(match[:, 16], index=match[:, 11])
+
+create_runs_series(b'392203')
+
+