drop duplicate rows pandas except nan
df[(~df.duplicated()) | (df['col'].isnull())]drop duplicate rows pandas except nan
df[(~df.duplicated()) | (df['col'].isnull())]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)drop duplicate index pandas
df3 = df3[~df3.index.duplicated(keep='first')]remove duplicate columns python dataframe
df = df.loc[:,~df.columns.duplicated()]Pandas drop duplicates
df = df.drop_duplicates(subset = ["b"])Copyright © 2021 Codeinu
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