PYTHON

drop rows that contain null values in a pandas dataframe

df.dropna(inplace=True)
# to drop any rows that contain any null values
df.dropna(how='all', inplace=True)
# to drop the rows wich all of it's values is any

# if you want to drop the columns not the rows you just set the axis to 1 like this:
df.dropna(axis=1, inplace=True)

pandas drop rows with null in specific column

df.dropna(subset=['Column name'])

drop null rows pandas

df.dropna()

pandas remove rows with null in column

df = df[df['EPS'].notna()]

how to remove in null values in pandas

df.dropna(inplace=True)

remove or drop rows and columns with null values

DataFrame.dropna() method 

drop null values in dataframe

df=df.interpolate(method='pad', limit=3)