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#Pandas dataframe remove duplicate rows how to

Complete Example For Drop Duplicate Rows in DataFrame You can remove duplicate rows using DataFrame.apply() and lambda function to convert the DataFrame to lower case and then apply lower string. Remove Duplicate Rows Using DataFrame.apply() and Lambda Function You can set 'keep=False' in the drop_duplicates() function to remove all the duplicate rows. To delete duplicate rows on the basis of multiple columns, specify all column names as a list. Delete Duplicate Rows based on Specific Columns For E.x, df.drop_duplicates(keep=False).Ħ. Remove All Duplicate Rows from Pandas DataFrame For instance, df.drop_duplicates(keep='last').ĥ. If you want to select all the duplicate rows and their last occurrence, you must pass a keep argument as "last". Drop Duplicate Rows and Keep the Last Row The below example returns four rows after removing duplicate rows in our DataFrame.Ĥ. It takes defaults values subset=None and keep=‘first’. You can use DataFrame.drop_duplicates() without any arguments to drop rows with the same values on all columns. Our DataFrame contains column names Courses, Fee, Duration, and Discount. Now, let’s create a DataFrame with a few duplicate rows on columns. ignore_index – Boolean value, by default False.

removes rows with duplicates on existing DataFrame when it is True.

‘last' – Duplicate rows except for the last one is drop.

‘first’ – Duplicate rows except for the first one is drop.

keep – Allowed values are, default ‘first’.

After passing columns, consider for identifying duplicate rows.

subset – Column label or sequence of labels.

# Using DataFrame.apply() and lambda functionĭf2 = df.apply(lambda x: x.astype(str).str.lower()).drop_duplicates(subset=, keep='first')īelow is the syntax of the DataFrame.drop_duplicates() function that removes duplicate rows from the pandas DataFrame.ĭataFrame.drop_duplicates(subset=None, keep='first', inplace=False, ignore_index=False) # Delete duplicate rows based on specific columnsĭf2 = df.drop_duplicates(subset=, keep=False) # Using DataFrame.drop_duplicates() to keep first duplicate row

#Pandas dataframe remove duplicate rows how to

If you are in a hurry, below are some quick examples of how to drop duplicate rows in pandas DataFrame. How to remove duplicates in Google Sheets 1.