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I am trying to assign values starting at 1 - length of the dataframe to a column that currently has all NaN values.
enter image description here

Naveed
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Jeremy Wagerik
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  • Welcome to [SO](https://stackoverflow.com/tour). Please check [How to Ask](https://stackoverflow.com/help/how-to-ask), and provide a [minimal reproducible example](https://stackoverflow.com/help/minimal-reproducible-example). Also [don't provide datasets as an image](https://meta.stackoverflow.com/questions/285551/why-should-i-not-upload-images-of-code-data-errors-when-asking-a-question), see [How to make pandas examples](https://stackoverflow.com/questions/20109391/how-to-make-good-reproducible-pandas-examples) instead. Note to reduce the dataset to the necessary minimum. – MagnusO_O Oct 18 '22 at 17:14

1 Answers1

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You can try like this. Assuming Data frame names as df. if you want to start from zero

df['member_id'] = df.index

If you want to start from 1 (Your case)

df['member_id'] = df.index+1
Bhargav - Retarded Skills
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