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I have a DataFrame like this (first column is index (786...) and second day (25...) and Rainfall amount is empty):
Day Rainfall amount (millimetres) 786 25 787 26 788 27 789 28 790 29 791 1 792 2 793 3 794 4 795 5 and I want to delete the row 790. I tried so many things with df.drop but nothin happend.
I hope you can help me.
773
To delete a row from a DataFrame, use the drop() method and set the index label as the parameter.
Pandas provides data analysts with a way to delete and filter dataframe using . drop() method. Columns can be removed permanently using column name using this method df. drop(['your_column_name'], axis=1, inplace=True) .
While dropping new DataFrame returns. If you want to apply changes to the current DataFrame you have to specify inplace parameter.
Option 1
Assigning back to df -
df = df.drop(790) Option 2
Inplace argument -
df.drop(790, inplace=True) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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