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switch cases pandas

peamdev answered on November 19, 2020 Popularity 8/10 Helpfulness 6/10

answer switch cases pandas

related case statement in pandas

switch cases pandas

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

Popularity 8/10 Helpfulness 6/10 Language python

Source: www.statology.org

Tags: pandas python

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Contributed on Aug 11 2022

peamdev

0 Answers Avg Quality 2/10

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case statement in pandas

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# 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

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Contributed on Nov 19 2020

Trained Tuna

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switch cases pandas

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