find and replace string dataframe
df['range'] = df['range'].str.replace(',','-')find and replace string dataframe
df['range'] = df['range'].str.replace(',','-')replace column values pandas
df['column'] = df['column'].str.replace(',','-')
dfreplacing values in pandas dataframe
df['coloum'] = df['coloum'].replace(['value_1','valu_2'],'new_value')replace values of pandas column
df.loc[df['column'] == 'column_value', 'column'] = 'new_column_value'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")pandas replace values from another dataframe
In [36]:
df['Group'] = df['Group'].map(df1.set_index('Group')['Hotel'])
df
Out[36]:
Date Group Family Bonus
0 2011-06-09 Jamel Laavin 456
1 2011-07-09 Frank Grendy 679
2 2011-09-10 Luxy Fantol 431
3 2011-11-02 Frank Gondow 569Copyright © 2021 Codeinu
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