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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)
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pandas drop rows with null in specific column

df.dropna(subset=['Column name'])
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pandas remove rows with null in column

df = df[df['EPS'].notna()]
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remove or drop rows and columns with null values

DataFrame.dropna() method
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