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

100 votes178 views6 answers
Pip3 upgrade
Python
0 vote174 views1 answer
Mediafileupload python example
Python
0 vote226 views1 answer
Add to middle of list python
Python
40 votes176 views6 answers
How to print error in try except python
Python
-1 vote165 views1 answer
Data.head on terminal
Python
0 vote175 views1 answer
Somma array python
Python
3 votes181 views1 answer
Python strlen
Python
0 vote183 views1 answer
Django table view sort filter
Python Django
5 votes196 views4 answers
Python save dictionary to file
Python
0 vote192 views7 answers
C++ code to python code converter online
Python