Answers for "replace values in one column with another based on a condition from a third columnpandas"

Python

change column value based on another column pandas

# Changes the 'is_electric' column based on value in the 'type' column
# If the 'type' column == 'electric' then the 'is_electric' becomes 'YES'
df['is_electric']= df['type'].apply(lambda x: 'YES' if (x == 'electric') else 'NO')

Posted by: Guest on November-19-2020

pandas replace values in column based on condition

In [41]:
df.loc[df['First Season'] > 1990, 'First Season'] = 1
df

Out[41]:
                 Team  First Season  Total Games
0      Dallas Cowboys          1960          894
1       Chicago Bears          1920         1357
2   Green Bay Packers          1921         1339
3      Miami Dolphins          1966          792
4    Baltimore Ravens             1          326
5  San Franciso 49ers          1950         1003

Posted by: Guest on May-14-2020

Source

Code answers related to "replace values in one column with another based on a condition from a third columnpandas"

Code answers related to "Python"

Python Answers by Framework

Django
Flask

Browse Popular Code Answers by Language

Python

Javascript

Whatever

Shell/Bash

CSS

Html

PHP

SQL

Java

Answers for "replace values in one column with another based on a condition from a third columnpandas"

Code answers related to "replace values in one column with another based on a condition from a third columnpandas"

Code answers related to "Python"

Python Answers by Framework

Browse Popular Code Answers by Language

Popular Programming Languages

Advertisements

Company

Compilers

Help

Connect with us