drop if nan in column pandas
df = df[df['EPS'].notna()]check if a value in dataframe is nan
#return a subset of the dataframe where the column name value == NaN
df.loc[df['column name'].isnull() == True]check if something is nan python
import math
print math.isnan(float('NaN'))OutputTrue
print math.isnan(1.0)OutputFalseCopyright © 2021 Codeinu
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