diff --git a/q01_read_csv_data_to_df/build.py b/q01_read_csv_data_to_df/build.py index 7af672f..38aafc7 100644 --- a/q01_read_csv_data_to_df/build.py +++ b/q01_read_csv_data_to_df/build.py @@ -1,8 +1,12 @@ +# %load q01_read_csv_data_to_df/build.py # Default Imports import pandas as pd # Path has been given to you already to use in function. -path = "data/ipl_dataset.csv" +path = 'data/ipl_dataset.csv' # Solution +def read_csv_data_to_df(path): + return pd.read_csv(path) +read_csv_data_to_df(path) diff --git a/q02_get_unique_values/build.py b/q02_get_unique_values/build.py index a98550a..050ad05 100644 --- a/q02_get_unique_values/build.py +++ b/q02_get_unique_values/build.py @@ -1,6 +1,11 @@ +# %load q02_get_unique_values/build.py from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df - +import pandas as pd # You have been given the dataset already in 'ipl_df'. -ipl_df = read_csv_data_to_df("data/ipl_dataset.csv") +ipl_df = read_csv_data_to_df('data/ipl_dataset.csv') #Solution +def get_unique_venues(): + return pd.unique(ipl_df['venue']) +get_unique_venues() + diff --git a/q03_get_run_counts/build.py b/q03_get_run_counts/build.py index 07a05ac..d8ba7af 100644 --- a/q03_get_run_counts/build.py +++ b/q03_get_run_counts/build.py @@ -1,8 +1,12 @@ +# %load q03_get_run_counts/build.py # Default Imports from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df - +import pandas as pd # You have been given the dataset already in 'ipl_df'. -ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv") +ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv') # Solution +def get_run_counts(): + return pd.Series(pd.unique(ipl_df['runs'].value_counts()), index=pd.unique(ipl_df['runs'])) +get_run_counts() diff --git a/q04_get_match_specific_df/build.py b/q04_get_match_specific_df/build.py index 37ec96a..060c2e2 100644 --- a/q04_get_match_specific_df/build.py +++ b/q04_get_match_specific_df/build.py @@ -1,7 +1,11 @@ +# %load q04_get_match_specific_df/build.py from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df # You have been given dataset already in 'ipl_df'. -ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv") +ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv') # Solution +def get_match_specific_df(match_code): + return ipl_df[ipl_df['match_code']==match_code] +get_match_specific_df(598057) diff --git a/q05_create_bowler_filter/build.py b/q05_create_bowler_filter/build.py index 5c15aaa..c2100ab 100644 --- a/q05_create_bowler_filter/build.py +++ b/q05_create_bowler_filter/build.py @@ -1,7 +1,12 @@ +# %load q05_create_bowler_filter/build.py # Default imports from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df # You have been given dataset already in 'ipl_df'. -ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv") +ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv') # Solution +def create_bowler_filter(bowler): + return ipl_df['bowler']==bowler +create_bowler_filter('I Sharma') + diff --git a/q06_get_match_innings_runs/build.py b/q06_get_match_innings_runs/build.py index d938fc2..3d0a72e 100644 --- a/q06_get_match_innings_runs/build.py +++ b/q06_get_match_innings_runs/build.py @@ -1,10 +1,15 @@ +# %load q06_get_match_innings_runs/build.py # Default Imports +import numpy as np from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df # You have been given dataset already in 'ipl_df'. -ipl_df = read_csv_data_to_df("data/ipl_dataset.csv") +ipl_df = read_csv_data_to_df('data/ipl_dataset.csv') # Solution +def get_match_innings_runs(): + return ipl_df[['match_code','inning','runs']].groupby(['match_code','inning']).agg(np.sum) +get_match_innings_runs() diff --git a/q07_get_run_counts_by_match/build.py b/q07_get_run_counts_by_match/build.py index a18e534..63311ee 100644 --- a/q07_get_run_counts_by_match/build.py +++ b/q07_get_run_counts_by_match/build.py @@ -1,7 +1,12 @@ +# %load q07_get_run_counts_by_match/build.py # Default Imports from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df # You have been give the dataset already in 'ipl_df'. -ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv") +ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv') # Solution +def get_runs_counts_by_match(): + return ipl_df.pivot_table(index='match_code',columns='runs',aggfunc='count').iloc[:,:7] +get_runs_counts_by_match() +