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pandas columns case when equivalent

Annoying Alligator answered on November 19, 2020 Popularity 9/10 Helpfulness 2/10

answer pandas columns case when equivalent

related case statement in pandas

pandas columns case when equivalent

Comment

df['c'] = np.select(
[
    (df['a'].isnull() & (df['b'] == 0))
], 
[
    1
], 
default=0 )

Popularity 9/10 Helpfulness 2/10 Language python

Source: stackoverflow.com

Tags: case-when equivalent pandas python

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Contributed on Jan 19 2021

Annoying Alligator

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'})

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Source: Grepper

Tags: case-statement case

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Contributed on Nov 19 2020

Trained Tuna

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pandas columns case when equivalent

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