what is the difference between drop and dropna in pandas data frame?

Hey Soumya, Thank you for your question! The drop() method drops specific labels from a column or a row. For example, the code data = raw_data.drop(['Model'], axis=1) will remove the entire 'Model' column from the dataframe. The dropna() method, on the other hand, removes observations containing missing values. For example, the code data_no_mv = data.dropna(axis=0) drops all rows (i.e. observations) that contain missing values. Hope this helps! Kind regards, 365 Hristina

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Soumya

Last answered:

12 Nov 2021

Posted on:

11 Nov 2021

difference between drop and dropna in pandas data frame

in Machine Learning in Python / Linear Regression Practical Example (Part 2)

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Hristina Hristova

Posted on:

12 Nov 2021

difference between drop and dropna in pandas data frame

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