Answers for "replacing values in pandas"

16

replace column values pandas

df['column'] = df['column'].str.replace(',','-')
df
Posted by: Guest on February-25-2020
9

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
12

replacing values in pandas dataframe

df['coloum'] = df['coloum'].replace(['value_1','valu_2'],'new_value')
Posted by: Guest on May-11-2020
3

how to replace values in column pandas

# this will replace "Boston Celtics" with "Omega Warrior"
df.replace(to_replace ="Boston Celtics",
                 value ="Omega Warrior")
Posted by: Guest on May-09-2021
9

replace values of pandas column

df.loc[df['column'] == 'column_value', 'column'] = 'new_column_value'
Posted by: Guest on June-26-2020
1

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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