drop if nan in column pandas
df = df[df['EPS'].notna()]remove nan from list python
cleanedList = [x for x in countries if str(x) != 'nan']how to delete nan values in python
x = x[~numpy.isnan(x)]Returns a new DataFrame omitting rows with null values
# Returns a new DataFrame omitting rows with null values
df4.na.drop().show()
# +---+------+-----+
# |age|height| name|
# +---+------+-----+
# | 10| 80|Alice|
# +---+------+-----+Copyright © 2021 Codeinu
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