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I have a dataframe that looks like this

 Year Season 2000 Winter 2002 Winter 2002 Summer 2004 Summer 2006 Winter

and I want to be able to remove all the rows with Winter so it look like this

 Year Season 2002 Summer 2004 Summer
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  • This seems like a rather basic task, what part of it is not covered by the many existing resources on Pandas? Please see How to Ask, help center. Commented May 7, 2020 at 23:00

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Like this: 

df = df[df['Season']!='Winter']

Explanation: df['Season']!='Winter' returns a boolean mask that you can use to index the original dataframe, thereby dropping all rows where season is winter.

See here: How to select rows from a DataFrame based on column values?

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stackoverflow.com/questions/18172851/…

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