I would like to plot boxplots of dataframes (see sample code below). What I'm wondering is: How can I disable the detection of outlier? I don't want to remove them, I just want a plot which visualizes the data by marking 0%, 25%, 50% and 75% of the datapoints without considering any criteria for outliers etc. How do I have to modify my code to achieve this? Can I change the outlier detection criteria in a way that it behaves like disabled? I would be very grateful for any help and if there is already another threat about this (which I didn't find), I would be happy to get a link to it. Many thanks! Jordin import numpy as np import pandas as pd import matplotlib.pyplot as plt np.random.seed(1234) df = pd.DataFrame(np.random.randn(10, 4), columns=['Col1', 'Col2', 'Col3', 'Col4']) plt.figure() plt.boxplot(df.values) plt.show() EDIT: I would like to include this outlier when drawing the whiskers and not just not show it. Continue reading...
