As far as I know, the most compact notation seems to be brought by the `query`

method.

`# Some test data np.random.seed(33454) df = ( # A standard distribution pd.DataFrame({'nb': np.random.randint(0, 100, 20)}) # Adding some outliers .append(pd.DataFrame({'nb': np.random.randint(100, 200, 2)})) # Reseting the index .reset_index(drop=True) ) # Computing IQR Q1 = df['nb'].quantile(0.25) Q3 = df['nb'].quantile(0.75) IQR = Q3 - Q1 # Filtering Values between Q1-1.5IQR and Q3+1.5IQR filtered = df.query('(@Q1 - 1.5 * @IQR) <= nb <= (@Q3 + 1.5 * @IQR)') `

Then we can plot the result to check the difference. We observe that the outlier in the left boxplot (the cross at 183) does not appear anymore in the filtered series.

`# Ploting the result to check the difference df.join(filtered, rsuffix='_filtered').boxplot() `

*Since this answer I've written a post on this topic were you may find more information.*