drop if nan in column pandas
df = df[df['EPS'].notna()]
drop null rows pandas
df.dropna()
pandas remove rows with null in column
df = df[df['EPS'].notna()]
dropping nan in pandas dataframe
df.dropna(subset=['name', 'born'])
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|
# +---+------+-----+
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