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so I'm having problems converting an object to an int in python. my code is

df['non_renewable'].astype(str).astype(int)

however, when I do this, I get the error code

ValueError: invalid literal for int() with base 10: '100%'

what are some solutions to this error?

JNevill
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Ashtin D'Motta
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    Does this answer your question? [Convert percent string to float in pandas read\_csv](https://stackoverflow.com/questions/25669588/convert-percent-string-to-float-in-pandas-read-csv) Essentially just do something like `df['non_renewable'].str.rstrip('%').astype(int)` – JNevill Feb 24 '22 at 16:11
  • `100%` isn't a number. You can't just cast it to an integer. What do you expect as a result? 1? 100? – Panagiotis Kanavos Feb 24 '22 at 16:11

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