replacing values in pandas dataframe

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showing results for - "replacing values in pandas dataframe"
Marco
30 Aug 2016
1df['column'] = df['column'].str.replace(',','-')
2df
3
source
Federica
20 Feb 2020
1
2df['coloum'] = df['coloum'].replace(['value_1','valu_2'],'new_value')
source
Nicola
07 Jan 2020
1# this will replace "Boston Celtics" with "Omega Warrior"
2df.replace(to_replace ="Boston Celtics",
3                 value ="Omega Warrior")
4
source
Efren
05 Jan 2020
1df.loc[df['column'] == 'column_value', 'column'] = 'new_column_value'
Darwin
18 Apr 2018
1# importing pandas as pd
2import pandas as pd
3  
4# Making data frame from the csv file
5df = pd.read_csv("nba.csv")
6  
7# this will replace "Boston Celtics" and "Texas" with "Omega Warrior"
8df.replace(to_replace =["Boston Celtics", "Texas"], 
9                            value ="Omega Warrior")
10
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