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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
 

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

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
 

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
 

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

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
 
 
 

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