python: remove duplicate in a specific column
df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')python: remove duplicate in a specific column
df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')python - remove repeted columns in a df
df.loc[:,~df.T.duplicated(keep='first')]drop duplicates pandas first column
import pandas as pd
# making data frame from csv file
data = pd.read_csv("employees.csv")
# sorting by first name
data.sort_values("First Name", inplace = True)
# dropping ALL duplicte values
data.drop_duplicates(subset ="First Name",keep = False, inplace = True)
# displaying data
print(data)remove duplicates based on two columns in dataframe
df.drop_duplicates(['A','B'],keep= 'last')remove duplicate columns python dataframe
df = df.loc[:,~df.columns.duplicated()]Copyright © 2021 Codeinu
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