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Removing Duplicate rows from Pandas DataFrame

Pandas drop_duplicates() returns only the dataframe's unique values, optionally only considering certain columns.

  1. subset: Subset takes a column or list of column label.
  2. keep : {'first', 'last', False}, default 'first'
Parameter Description
first Drop duplicates except for the first occurrence.
last Drop duplicates except for the last occurrence.
False Drop all duplicates.

Lets create a DataFrame..

Drop all duplicate values from column "A"

The same result you can achieved with DataFrame.groupby()

Drop duplicates except for the first occurrence

Drop duplicates except for the last occurrence

Drop duplicates based on multiple columns

Keeping the row with the highest value

Remove duplicates by columns A and keeping the row with the highest value in column B

The same result you can achieved with DataFrame.groupby()

Find duplicate rows on a specific column?

Count duplicate rows on a specific column

Count duplicate rows in a DataFrame

Count duplicate rows on certain column(s)










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