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 vote256 views1 answer
Python get item from list by index
Python
0 vote222 views1 answer
Compute Jordan normal form of matrix in Python / NumPy
Python
21 votes215 views7 answers
Pyinstaller
Python
0 vote208 views1 answer
Convert integer unix to timestamp python
Python
2 votes216 views6 answers
K
Python
-1 vote234 views1 answer
Python type checking boolean
Python
3 votes253 views1 answer
Disable csrf for one url django
Python Django
11 votes216 views2 answers
Save machine learning model
Python
2 votes214 views2 answers
How to invert plot axis python
Python
0 vote193 views1 answer
From threading import thread ImportError: cannot import name 'thread' from 'threading' (/usr/lib/python3.7/threading.py)
Python