diff --git a/q01_get_total_deliveries_players/build.py b/q01_get_total_deliveries_players/build.py index 2bc0f30..033630f 100644 --- a/q01_get_total_deliveries_players/build.py +++ b/q01_get_total_deliveries_players/build.py @@ -1,7 +1,29 @@ +# %load q01_get_total_deliveries_players/build.py # Default imports import numpy as np +import pandas as pd -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): + a= ipl_matches_array[:,13] + b = a==b'SR Tendulkar' + c = a[b] + return len(c) + + + + + + + + + + + + +get_total_deliveries_played(b'SR Tendulkar') + + diff --git a/q02_get_wicket_delivery_numbers_array/build.py b/q02_get_wicket_delivery_numbers_array/build.py index 47401a5..9ec7886 100644 --- a/q02_get_wicket_delivery_numbers_array/build.py +++ b/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 +def get_wicket_delivery_numbers_array(player): + player_out = ipl_matches_array[:,20] + deliveriers = ipl_matches_array[:,11] + a = (deliveriers [player_out== player]) + return a + + + +get_wicket_delivery_numbers_array(b'ST Jayasuriya') + diff --git a/q03_get_toss_win_count/build.py b/q03_get_toss_win_count/build.py index d0f09a9..20b8c67 100644 --- a/q03_get_toss_win_count/build.py +++ b/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): + team1 = np.unique(ipl_matches_array[:,4]) + team2= np.unique(ipl_matches_array[:,5]) + win_toss= ipl_matches_array[:,6] + a =len(team1[team1==team ]) + b= len(team2[team2==team]) + + return (a+b) +get_toss_win_count(b'Mumbai Indians') + diff --git a/q04_get_all_sixes_filter/build.py b/q04_get_all_sixes_filter/build.py index d0f09a9..f17dd4e 100644 --- a/q04_get_all_sixes_filter/build.py +++ b/q04_get_all_sixes_filter/build.py @@ -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(): + a = ipl_matches_array[:,16].astype(np.int16) == 6 + + + return a +get_all_sixes_filter() + diff --git a/q05_create_delivery_series/build.py b/q05_create_delivery_series/build.py index fcc1b8a..f4e2b4b 100644 --- a/q05_create_delivery_series/build.py +++ b/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(): + a= pd.Series(ipl_matches_array[:, 11]) + return a + + + +create_delivery_series() diff --git a/q06_create_runs_series/build.py b/q06_create_runs_series/build.py index fcc1b8a..bf575e5 100644 --- a/q06_create_runs_series/build.py +++ b/q06_create_runs_series/build.py @@ -1,7 +1,16 @@ +# %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): + a= pd.Series(ipl_matches_array[:,11]) + b= pd.Series(ipl_matches_array[:,16], index= a) + + return b + +create_runs_series(b'392203') +