BoxPlot.update

BoxPlot.update(data) → None

Update the plot’s underlying datasets.

Parameters:

datasequence[array_like]

The new datasets used in this box plot.

Examples

Download Python source code | Download Jupyter notebook

Create a box plot from a standard Gaussian dataset.

>>> import pyvista as pv
>>> import numpy as np
>>> rng = np.random.default_rng(
...     1
... )  # Seeded random number generator for data generation
>>> chart = pv.ChartBox([rng.normal(size=100)])
>>> chart.show()

Update the box plot (shift the standard Gaussian distribution).

>>> chart.plot.update([rng.normal(loc=2, size=100)])
>>> chart.show()