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

0 vote260 views1 answer
Colorama input python
Python
1 vote242 views1 answer
How to save an image with the same name after editing in python pillow module
Python
1 vote246 views1 answer
Use django taggit in template
Python
0 vote223 views1 answer
Python length checker/fill
Python
8 votes241 views3 answers
Python is integer string
Python
0 vote222 views1 answer
Value = int(line.rsplit(':', 1)[1].strip()) ValueError : invalid literal for int() with base 10: '' grass gis
Python
3 votes236 views3 answers
Python check ram usage
Python
3 votes227 views1 answer
Pandas merge all csv in a folder
Python
0 vote265 views1 answer
Fillna spark dataframe
Python
2 votes227 views1 answer
Print textbox value in tkinter
Python