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q01_read_csv_data_to_df/build.py

@@ -1,8 +1,16 @@
+# %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):
+    df=pd.read_csv(path)
+    return df
 # Solution
 
+
+
+
+

q02_get_unique_values/build.py

@@ -1,6 +1,14 @@
+# %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')
+import numpy as np
 #Solution
+
+def get_unique_venues():
+    venues=np.unique(ipl_df['venue'].values)
+
+    return venues
+
+

q03_get_run_counts/build.py

@@ -1,8 +1,21 @@
+# %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')
 
+import numpy as np
+import pandas as pd
 # Solution
 
+def get_run_counts():
+
+    unique,counts=np.unique(ipl_df['runs'].values,return_counts=True)
+    d=dict(zip(unique,counts))
+    runs_count=pd.Series(d)
+
+    return runs_count
+
+
+

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')
 
 # Solution
+import pandas as pd
+
+def get_match_specific_df(match_code):
+
+    dfi=ipl_df.groupby('match_code').get_group(598057)
+
+    return dfi
+
+
 

q05_create_bowler_filter/build.py

@@ -1,7 +1,18 @@
+# %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
+def create_bowler_filter(bowler):
+
+    b=pd.Series(ipl_df['bowler'])
+    series=b.isin(['I Sharma'])
+
+    return series
+
+
+

q06_get_match_innings_runs/build.py

@@ -1,11 +1,18 @@
+# %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")
+ipl_df = read_csv_data_to_df('data/ipl_dataset.csv')
 
 # Solution
 
+import numpy as np
 
+def get_match_innings_runs():
+
+    dfi=ipl_df.groupby(['match_code','inning']).agg({'runs':sum})
+
+    return dfi
 
 

q07_get_run_counts_by_match/build.py

@@ -1,7 +1,17 @@
+# %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
+import pandas as pd
+
+def get_runs_counts_by_match():
+
+    df=pd.pivot_table(ipl_df,index='match_code',columns='runs',aggfunc='count').iloc[:,0:7]
+
+    return df
+
+