Answers for "replace value in anotrher column based on value in anopther column pandas dataframe python"

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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

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how to replace values in column pandas

# importing pandas as pd
import pandas as pd
  
# Making data frame from the csv file
df = pd.read_csv("nba.csv")
  
# this will replace "Boston Celtics" and "Texas" with "Omega Warrior"
df.replace(to_replace =["Boston Celtics", "Texas"], 
                            value ="Omega Warrior")

Posted by: Guest on May-09-2021

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Answers for "replace value in anotrher column based on value in anopther column pandas dataframe python"

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