To edit the properties of whiskers, fliers, caps, etc. in a Seaborn boxplot, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Make a dataframe using Pandas.
- Make a boxplot from the DataFrame columns.
- Get the boxplot's outliers, boxes, medians, and whiskers data.
- Print all the above data.
- To display the figure, use show() method.
Example
import seaborn as sns import pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(dict(age=[23, 45, 21, 15, 12])) _, bp = pd.DataFrame.boxplot(df, return_type='both') outliers = [flier.get_ydata() for flier in bp["fliers"]] boxes = [box.get_ydata() for box in bp["boxes"]] medians = [median.get_ydata() for median in bp["medians"]] whiskers = [whiskers.get_ydata() for whiskers in bp["whiskers"]] print("Outliers/Fliers: ", outliers) print("Boxes: ", boxes) print("Medians: ", medians) print("Whiskers: ", whiskers) plt.show()
Output
Outliers/Fliers: [array([45])] Boxes: [array([15., 15., 23., 23., 15.])] Medians: [array([21., 21.])] Whiskers: [array([15., 12.]), array([23., 23.])]