drop multiple columns pandas
yourdf.drop(['columnheading1', 'columnheading2'], axis=1, inplace=True)drop multiple columns pandas
yourdf.drop(['columnheading1', 'columnheading2'], axis=1, inplace=True)drop multiple columns in python
dataframe.drop(['columnname1', 'columnname2'], axis=1, inplace=True)remove columns from a dataframe python
# Import pandas package
import pandas as pd
# create a dictionary with five fields each
data = {
'A':['A1', 'A2', 'A3', 'A4', 'A5'],
'B':['B1', 'B2', 'B3', 'B4', 'B5'],
'C':['C1', 'C2', 'C3', 'C4', 'C5'],
'D':['D1', 'D2', 'D3', 'D4', 'D5'],
'E':['E1', 'E2', 'E3', 'E4', 'E5'] }
# Convert the dictionary into DataFrame
df = pd.DataFrame(data)
#drop the 'A' column from your dataframe df
df.drop(['A'],axis=1,inplace=True)
df
#-->df contains 'B','C','D' and 'E'
#in this example you will change your dataframe , if you don't want to ,
#just remove the in place parameter and assign your result to an other variable
df1=df.drop(['B'],axis=1)
#-->df1 contains 'C','D','E'
df1Copyright © 2021 Codeinu
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