Pandas Get Unique Values In Multiple Columns

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Pandas Get Unique Values In Multiple Columns

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Sheets Unique List From Multiple Columns LaptrinhX News

8 Answers Sorted by 306 You can use the drop duplicates method to get the unique rows in a DataFrame In 29 df pd DataFrame a 1 2 1 2 b 3 4 3 5 In 30 df Out 30 a b 0 1 3 1 2 4 2 1 3 If you simply want to know the number of unique values across multiple columns, you can use the following code: uniques = pd. unique (df[[' col1 ', ' col2 ']]. values . ravel ()) len (uniques) 7 This tell us that there.

How To Find Unique Values From Multiple Columns In Excel Riset

Pandas Get Unique Values In Multiple ColumnsYou can use pd.wide_to_long along with DataFrame.drop_duplicates to get the unique values: (pd.wide_to_long(df.reset_index(), stubnames=['Name','ID'], i='index', j='ix') .drop_duplicates().reset_index(drop=True)) Name ID. 0 John 3. 1 Jack 2. 2 Albert 0. Pandas series aka columns has a unique method that filters out only unique values from a column The first output shows only unique FirstNames We can extend this method using pandas concat method and concat all the desired columns into 1 single column and then find the unique of the resultant column Unmute Python3

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