pandas multi level index

Innocent Iguana answered on September 28, 2021 Popularity 8/10 Helpfulness 5/10

answer pandas multi level index

related dataframe multiindex

related multi indexing in pandas dataframe

pandas multi level index

Comment

df.set_index(['col1', 'col2']) # Set/Create multi-level index
df.loc[[('col1val1','col2val1'), ('col1val2','col2val2')]] # Subsetting using multi-level index

Popularity 8/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: multi-level pandas python

Link to this answer
Share Copy Link

Contributed on Nov 05 2023

Innocent Iguana

0 Answers Avg Quality 2/10

Closely Related Answers

dataframe multiindex

Comment

multi = df.set_index(['Film', 'Chapter', 'Race', 'Character'])

Popularity 10/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: dataframe data

Link to this answer
Share Copy Link

Contributed on Sep 28 2021

Real Raccoon

0 Answers Avg Quality 2/10

multi indexing in pandas dataframe

Comment

#iterate only through rows with missing LoanAmount
for i,row in data.loc[data['LoanAmount'].isnull(),:].iterrows():
  ind = tuple([row['Gender'],row['Married'],row['Self_Employed']])
  data.loc[i,'LoanAmount'] = impute_grps.loc[ind].values[0]

#Now check the #missing values again to confirm:
print data.apply(num_missing, axis=0)

Popularity 6/10 Helpfulness 2/10 Language python

Source: www.analyticsvidhya.com

Tags: dataframe pandas python

Link to this answer
Share Copy Link

Contributed on Mar 08 2024

Ashamed Angelfish

0 Answers Avg Quality 2/10

pandas multi level index

Contents

More Related Answers

pandas multi level index

Closely Related Answers

dataframe multiindex

multi indexing in pandas dataframe

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.