drop if nan in column pandas
df = df[df['EPS'].notna()]remove nan particular column pandas
df=df.dropna(subset=['columnname])dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])drop column with nan values
fish_frame = fish_frame.dropna(axis = 1, how = 'all')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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