To drop rows of a Python Pandas DataFrame whose value in a certain column is NaN, we call the notna method.
For instance, we write
df = df[df['EPS'].notna()]
to drop the rows where the 'EPS' column isn’t NaN by calling notna on the column.
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How to drop rows of a Python Pandas DataFrame whose value in a certain column is NaN?
