Case statement in pandas

# 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'})

Pandas columns case when equivalent

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

Source: stackoverflow.com

Similar codes

25 votes309 views4 answers
Python pil
Python
0 vote337 views1 answer
Numpy index array all except
Python
0 vote300 views1 answer
How to import the whall library in python
Python
0 vote330 views1 answer
All the positions of a letter occurrences in a string python
Python
0 vote322 views1 answer
How to take input a matrix using map in python
Python
0 vote330 views1 answer
Boston data set to pandas df
Python
0 vote355 views2 answers
Wxpython menu callback stackoverflow
Python
1 vote325 views1 answer
Count the frequency of words in a file
Python
0 vote345 views1 answer
Player to walk on the surface
Python
1 vote334 views1 answer
Dashes seaborn
Python