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q01_read_csv_data_to_df/build.py

@@ -1,8 +1,13 @@
-# Default Imports
+#%load q01_read_csv_data_to_df/build.py
+
 import pandas as pd
+path='./data/ipl_dataset.csv'
+def read_csv_data_to_df(path):
+    df=pd.read_csv(path)
+
+    return df
+
+
 
-# Path has been given to you already to use in function.
-path = "data/ipl_dataset.csv"
 
-# Solution
 

q02_get_unique_values/build.py

@@ -1,6 +1,18 @@
-from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
+#%load q02_get_unique_values/build.py
+
+import pandas as pd
+
+path='./data/ipl_dataset.csv'
+
+def get_unique_venues():
+    df=pd.read_csv(path)
+
+    venue=df.venue.unique()
+
+    return venue
+
+
+
+
 
-# You have been given the dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("data/ipl_dataset.csv")
 
-#Solution

q03_get_run_counts/build.py

@@ -1,8 +1,14 @@
-# Default Imports
-from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
+#%load q03_get_run_counts/build.py
 
-# You have been given the dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
+import pandas as pd
+path='./data/ipl_dataset.csv'
+
+def get_run_counts():
+    df=pd.read_csv(path)
+
+    grp=df.groupby(df.runs)['runs'].count()
+
+    #print(type(grp))
+    return grp
 
-# Solution
 

q04_get_match_specific_df/build.py

@@ -1,7 +1,22 @@
-from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
+# %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
+
+import numpy as np
+import pandas as pd
+ifl_df=pd.read_csv('./data/ipl_dataset.csv')
+
+
+def get_match_specific_df(match_code):
+
+
+
+    #df=ifl_df[(ifl_df['match_code']==match_code)]
+    df=ifl_df[ifl_df.match_code==match_code]
+    return df
+
+get_match_specific_df(598057)
+
+
 
-# You have been given dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
 
-# Solution
 

q05_create_bowler_filter/build.py

@@ -1,7 +1,16 @@
-# Default imports
-from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
+#%load q05_create_bowler_filter/build.py
+import pandas as pd
+import numpy as np
+
+ifl_df=pd.read_csv('./data/ipl_dataset.csv')
+
+def create_bowler_filter(bowler):
+
+    bl=ifl_df['bowler']
+
+    return bl==bowler
+
+
+
 
-# You have been given dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
 
-# Solution

q06_get_match_innings_runs/build.py

@@ -1,10 +1,14 @@
-# Default Imports
-from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
+#%load q06_get_match_innings_runs/build.py
+import pandas as pd
+import numpy as np
 
-# You have been given dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("data/ipl_dataset.csv")
+ifl_df=pd.read_csv('./data/ipl_dataset.csv')
 
-# Solution
+def get_match_innings_runs():
+
+    ifl_df2=ifl_df.groupby(['match_code','inning'])['runs'].sum()
+
+    return ifl_df2
 
 
 

q07_get_run_counts_by_match/build.py

@@ -1,7 +1,19 @@
-# Default Imports
-from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
+#%load q07_get_run_counts_by_match/build.py
+
+
+import pandas as pd
+import numpy as np
+
+df=pd.read_csv('./data/ipl_dataset.csv')
+#df.columns
+def get_runs_counts_by_match():
+
+    df1=df.pivot_table(index='match_code',columns='runs',values='batsman',aggfunc='count')    
+
+    return df1
+
+get_runs_counts_by_match()
+# gr=df.groupby('match_code')  
+# gr['runs'].sum()
 
-# You have been give the dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
 
-# Solution