drop multiple columns pandas
yourdf.drop(['columnheading1', 'columnheading2'], axis=1, inplace=True)drop multiple columns pandas
yourdf.drop(['columnheading1', 'columnheading2'], axis=1, inplace=True)python - subset specific columns name in a dataframe
columns = ['b', 'c']
df1 = pd.DataFrame(df, columns=columns)python: select specific columns in a data frame
df = df[["Column_Name1", "Column_Name2"]]select 2 cols from dataframe python pandas
# Convert the dictionary into DataFrame
df = pd.DataFrame(data)
# select two columns
df[['Name', 'Qualification']]how to pick out separate columns from the pandas dataframe object
df1 = df.iloc[:, 0:2] # If you want to do it by index. Remember that Python does not slice inclusive of the ending index.
df1 = df[['a', 'b']] ## if you want to do it b naeselect columns pandas
df1 = df.iloc[:,0:2] # Remember that Python does not slice inclusive of the ending index.Copyright © 2021 Codeinu
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