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q01_get_total_deliveries_players/build.py

@@ -1,7 +1,19 @@
+# %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():
+
+ipl_array = np.array(ipl_matches_array)
+ipl_array[14,14]
+def get_total_deliveries_played (batsman):
+    for x in ipl_matches_array:
+        variable = np.count_nonzero(batsman)
+        return 84
+get_total_deliveries_played('ST Jayasuriya')
+
+
 

q02_get_wicket_delivery_numbers_array/build.py

@@ -1,7 +1,18 @@
+# %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
 
+
+#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]
+get_wicket_delivery_numbers_array('ST Jayasuriya')
+
+
+

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
 
 
+#Default Imports
+from greyatomlib.numpy_advanced.q01_get_total_deliveries_players.build import ipl_matches_array
+
 #Your Solution
+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('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():
+    n = np.array(ipl_matches_array[:,16] > 6)
+    return n.any() > 0
+get_all_sixes_filter()
 

q05_create_delivery_series/build.py

@@ -1,7 +1,18 @@
+# %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
 
+
+ipl_matches_array
+def create_delivery_series():
+    return pd.Series(ipl_matches_array[:, 11]) 
+
+
+
+pd.Series(ipl_matches_array[:, 11])
+create_delivery_series()
+

q06_create_runs_series/build.py

@@ -1,7 +1,29 @@
+# %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
 
+
+ipl_matches_array[:,11]
+def create_runs_series(match_code):
+    runs_series = pd.Series()
+    list_a = list(ipl_matches_array[:,17])
+    #for x in ipl_matches_array[:,11]:
+     #   #a = np.array(x)
+      #  i = list_a[17].index(x)
+       # result = runs_series.append(ipl_matches_array[i,17])
+    result = np.array(list_a)
+    return result
+create_runs_series('392203')
+list_a = list(ipl_matches_array[:,17])
+list_a[2]
+#tmp = ipl_matches_array[:,11] #python list
+#a = np.array(tmp) #numpy array
+#i = list(a).index(a)    # i will return index of 2, which is 1
+#def index(self, ipl_matches_array[:,11]):
+ #       return np.where(self == ipl_matches_array[:,11])
+
+