Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 10 additions & 1 deletion q01_get_total_deliveries_players/build.py
Original file line number Diff line number Diff line change
@@ -1,7 +1,16 @@
# %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):

batsman_deliveries = ipl_matches_array[ipl_matches_array[:,13] == batsman]

return len(batsman_deliveries)




16 changes: 14 additions & 2 deletions q02_get_wicket_delivery_numbers_array/build.py
Original file line number Diff line number Diff line change
@@ -1,7 +1,19 @@
# %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=',')
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):

c = ipl_matches_array[:,-3] == player
return ipl_matches_array[c][:,11].astype(str)


get_wicket_delivery_numbers_array('ST Jayasuriya')



12 changes: 10 additions & 2 deletions q03_get_toss_win_count/build.py
Original file line number Diff line number Diff line change
@@ -1,7 +1,15 @@
# %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):

t = ipl_matches_array[:,5] == team

return len(set(ipl_matches_array[t][:,1]))

get_toss_win_count('Mumbai Indians')


#Your Solution

10 changes: 9 additions & 1 deletion q04_get_all_sixes_filter/build.py
Original file line number Diff line number Diff line change
@@ -1,7 +1,15 @@
# %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():

c = ipl_matches_array[:,-7].astype(dtype=np.int) == 6
return c




9 changes: 8 additions & 1 deletion q05_create_delivery_series/build.py
Original file line number Diff line number Diff line change
@@ -1,7 +1,14 @@
# %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():
s = pd.Series(ipl_matches_array[:, 11])
return s
s = pd.Series(ipl_matches_array[:, 11])
s