diff --git a/q01_read_csv_data_to_df/build.py b/q01_read_csv_data_to_df/build.py index 7af672f..878e84b 100644 --- a/q01_read_csv_data_to_df/build.py +++ b/q01_read_csv_data_to_df/build.py @@ -1,8 +1,14 @@ +# %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' + +def read_csv_data_to_df(path='data/ipl_dataset.csv'): + read_csv=pd.read_csv(path) + return read_csv + + -# Solution diff --git a/q02_get_unique_values/build.py b/q02_get_unique_values/build.py index a98550a..6e1750f 100644 --- a/q02_get_unique_values/build.py +++ b/q02_get_unique_values/build.py @@ -1,6 +1,13 @@ +# %load q02_get_unique_values/build.py from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df # 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') + +def get_unique_venues(): + venue_unique_array=ipl_df['venue'].unique() + return venue_unique_array + + + -#Solution diff --git a/q03_get_run_counts/build.py b/q03_get_run_counts/build.py index 07a05ac..3b395f8 100644 --- a/q03_get_run_counts/build.py +++ b/q03_get_run_counts/build.py @@ -1,8 +1,15 @@ +# %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 # 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') + +def get_run_counts(): + runs_count=ipl_df['runs'].value_counts() + return runs_count + + + -# Solution diff --git a/q04_get_match_specific_df/build.py b/q04_get_match_specific_df/build.py index 37ec96a..d8dd05e 100644 --- a/q04_get_match_specific_df/build.py +++ b/q04_get_match_specific_df/build.py @@ -1,7 +1,17 @@ +# %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') + +def get_match_specific_df(match_code): + #creating a filter for the given match code through the function + match_code_filter = ipl_df['match_code']==match_code + #applying the above created filter to the main data frame and assigining it to a variable + match_info=ipl_df[match_code_filter] + return match_info + + + -# Solution diff --git a/q05_create_bowler_filter/build.py b/q05_create_bowler_filter/build.py index 5c15aaa..cdc0b8b 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') + +def create_bowler_filter(bowler): + bowler_filter=ipl_df['bowler']==bowler + return bowler_filter + -# Solution diff --git a/q06_get_match_innings_runs/build.py b/q06_get_match_innings_runs/build.py index d938fc2..0f11654 100644 --- a/q06_get_match_innings_runs/build.py +++ b/q06_get_match_innings_runs/build.py @@ -1,11 +1,13 @@ +# %load q06_get_match_innings_runs/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") - -# Solution +ipl_df = read_csv_data_to_df('data/ipl_dataset.csv') +def get_match_innings_runs(): + innings_summary=ipl_df.groupby(['match_code', 'inning'])[['runs']].sum() + return innings_summary diff --git a/q07_get_run_counts_by_match/build.py b/q07_get_run_counts_by_match/build.py index a18e534..7592154 100644 --- a/q07_get_run_counts_by_match/build.py +++ b/q07_get_run_counts_by_match/build.py @@ -1,7 +1,16 @@ +# %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 +import pandas as pd +import numpy as np # 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') +def get_runs_counts_by_match(): + runs_per_match=ipl_df.pivot_table(values='batsman',index=['match_code'],columns=('runs'),aggfunc='count') + #value synbolises the runs scored by batsman + return runs_per_match +get_runs_counts_by_match() + + -# Solution