replace values in column pandas code example

Example 1: find and replace string dataframe

df['range'] = df['range'].str.replace(',','-')

Example 2: 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

Example 3: replace column values pandas

df['column'] = df['column'].str.replace(',','-')
df

Example 4: replacing values in pandas dataframe

df['coloum'] = df['coloum'].replace(['value_1','valu_2'],'new_value')

Example 5: replace values of pandas column

df.loc[df['column'] == 'column_value', 'column'] = 'new_column_value'

Example 6: 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")