PYTHON

replace column values pandas

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

replacing values in pandas dataframe

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

pandas replace data in specific columns with specific values

### replace one value ###
df["column"].replace("US","UK") # you can also use numerical values
### replace more than one value ###
df["column"].replace(["man","woman","child"],[1,2,3]) # you can also use numerical values
#   man ==> 1
# woman ==> 2
# child ==> 3

replace values of pandas column

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

replace value in dataframe

# this will replace "Boston Celtics" with "Omega Warrior"
df.replace(to_replace ="Boston Celtics",
                 value ="Omega Warrior")

replace all values in column pandas

df.loc[df['column_name'] == value_you_want_replaced, 'column_name'] = your_value

how to change values in dataframe python

energy['Country'] = energy['Country'].replace(['Afghanistan','Albania'],['Sa','lol'])

pandas replace values

df.replace([0, 1, 2, 3], [4, 3, 2, 1])

change value in dataframe

# change value in column_where_to_change and in the row where column_name == column_value
df.loc[df['<column_name>']=='column_value', '<column_where_to_change>'] = '<new_value>'

change value of column in pandas

# Importing the libraries
import pandas as pd
import numpy as np
  
# data
Student = {
    'Name': ['John', 'Jay', 'sachin', 'Geetha', 'Amutha', 'ganesh'],
    'gender': ['male', 'male', 'male', 'female', 'female', 'male'],
    'math score': [50, 100, 70, 80, 75, 40],
    'test preparation': ['none', 'completed', 'none', 'completed',
                         'completed', 'none'],
}
  
# creating a Dataframe object
df = pd.DataFrame(Student)
  
# Applying the condition
df.loc[df["gender"] == "male", "gender"] = 1