I have a very large pandas DataFrame (>100 million rows, and >1000s of columns). Each row has a unique label as index, for most of the rows, only one column contains value. I want to make a new DataFrame by deleting those rows with only one of the columns has value, and keeping those rows that with more than two columns have values.
Deleting rows in pandas data frame after evaluating all columns
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You can drop them using
dropna
:You pass the params
thresh=2
to specify that you require at least 2 non-NA values, andaxis=0
will specify that the criteria should be applied row-wise.