Breaking News: Grepper is joining You.com. Read the official announcement!

switch cases pandas

peamdev answered on November 19, 2020 Popularity 9/10 Helpfulness 6/10

answer switch cases pandas

related case statement in pandas

switch cases pandas

Comment

df['new_column'] = np.where(df['col2']<9, 'value1',
                   np.where(df['col2']<12, 'value2',
                   np.where(df['col2']<15, 'value3', 'value4')))

Popularity 9/10 Helpfulness 6/10 Language python

Source: www.statology.org

Tags: pandas python

Link to this answer
Share Copy Link

Contributed on Aug 11 2022

peamdev

0 Answers Avg Quality 2/10

Closely Related Answers

case statement in pandas

Comment

# If the row value in column 'is_blue' is 1 
# Change the row value to 'Yes' 
# otherwise change it to 'No'
df['is_blue'] = df['is_blue'].apply(lambda x: 'Yes' if (x == 1) else 'No') 
# or you can use np.where
df['is_blue'] = np.where(df['is_blue'] == 1, 'Yes', 'No')
# You can also use mapping to accomplish the same result
# Warning: Mapping only works once on the same column creates NaN's otherwise
df['is_blue'] = df['is_blue'].map({0: 'No', 1: 'Yes'})

Popularity 9/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: case-statement case

Link to this answer
Share Copy Link

Contributed on Nov 19 2020

Trained Tuna

0 Answers Avg Quality 2/10

switch cases pandas

Contents

More Related Answers

switch cases pandas

Closely Related Answers

case statement in pandas

Grepper

Documentation

Social

Legal

Contact

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