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 vote222 views1 answer
Django trigger when an instance od data is deleted from model
Python
0 vote238 views1 answer
Python matplotlib pyplot set axis equals
Python
0 vote276 views1 answer
Check pip installed packages inside virtualenv
Python
0 vote230 views1 answer
While importing we detected an older version of numpy in
Python
0 vote263 views1 answer
Get text content dynamo civil 3d
Python
0 vote241 views1 answer
Program to find the largest of three numbers in python
Python
60 votes254 views6 answers
Python Class Example
Python
22 votes318 views3 answers
How to get tomorrow date in python
Python
1 vote260 views1 answer
Bytes-like object
Python
33 votes277 views4 answers
Python error handling
Python