Pandas Remove Duplicate Rows
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Pandas Remove Duplicate Rows
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How To Remove Duplicate Rows From A DataFrame Using The Pandas Python Library The Security Buddy
For example to drop all duplicated rows only if column A is equal to foo you can use the following code new df df df duplicated subset A B C keep False df A eq foo copy Also if you don t wish to write out columns by name you can pass slices of df columns to subset 1. Use drop_duplicates () by using column name. import pandas as pd data = pd.read_excel ('your_excel_path_goes_here.xlsx') #print (data) data.drop_duplicates (subset= ["Column1"], keep="first") keep=first to instruct Python to keep the first value and remove other columns duplicate values.
How To Remove Duplicate Rows From A Data Frame In Pandas Python YouTube
Pandas Remove Duplicate RowsPandas drop_duplicates() method helps in removing duplicates from the Pandas Dataframe In Python. Syntax of df.drop_duplicates() Syntax: DataFrame.drop_duplicates(subset=None, keep=’first’, inplace=False) The easiest way to drop duplicate rows in a pandas DataFrame is by using the drop duplicates function which uses the following syntax df drop duplicates subset None keep first inplace False where subset Which columns to consider for identifying duplicates Default is all columns
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