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q01_read_csv_data_to_df/build.py

@@ -1,8 +1,18 @@
+# %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):
+    df = pd.read_csv(path)
+    return df
+
+
+
+
+
 

q02_get_unique_values/build.py

@@ -1,6 +1,20 @@
+# %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')
 
 #Solution
+#ipl_df.head()
+def get_unique_venues():
+    x=ipl_df['venue'].unique()
+    return x
+
+
+get_unique_venues()
+
+
+
+
+
+

q03_get_run_counts/build.py

@@ -1,8 +1,18 @@
+# %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")
+df = read_csv_data_to_df('./data/ipl_dataset.csv')
 
 # Solution
+count=0
+def get_run_counts():
+    series = pd.Series(df['runs']+count)
+    return series
+
+get_run_counts()
+
+
+
 

q04_get_match_specific_df/build.py

@@ -1,7 +1,19 @@
+# %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
+import numpy as np
+import pandas as pd
+
+def get_match_specific_df(match_code):
+    return ipl_df[:][ipl_df['match_code'] == match_code]
+get_match_specific_df(392202)
+
+
+
+
+
 

q05_create_bowler_filter/build.py

@@ -1,7 +1,19 @@
+# %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
+import pandas as pd
+import numpy as np
+def create_bowler_filter(bowler):
+    return (ipl_df['bowler']==bowler)
+
+
+
+
+
+
+

q06_get_match_innings_runs/build.py

@@ -1,11 +1,17 @@
+# %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
-
+import pandas as pd
 # You have been given dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("data/ipl_dataset.csv")
+df = read_csv_data_to_df('data/ipl_dataset.csv')
 
 # Solution
+def get_match_innings_runs():
+    x=df.groupby(['match_code','inning'])['runs'].sum()
+#g=df.groupby('inning')
+    return x
 
+get_match_innings_runs()