Bars

from __future__ import annotations

from numpy import array

from gemseo.datasets.dataset import Dataset
from gemseo.post.dataset.bars import BarPlot

Build a dataset

Let us consider two series of values for the variables x1, x2 and x3 which we arrange in rows in a Dataset:

dataset = Dataset()
dataset.add_variable("x1", array([[0.25, 0.35], [0.75, 0.85]]))
dataset.add_variable("x2", array([[0.5], [0.5]]))
dataset.add_variable("x3", array([[0.75], [0.25]]))
dataset.index = ["series_1", "series_2"]
dataset

GROUP	parameters
VARIABLE	x1		x2	x3
COMPONENT	0	1	0	0
series_1	0.25	0.35	0.5	0.75
series_2	0.75	0.85	0.5	0.25

Plot the two series on a bar chart

We can use the BarPlot to display these series, with one color per series and the values grouped by variable name:

plot = BarPlot(dataset, n_digits=2)
plot.colormap = "PiYG"
plot.execute(save=False, show=True)

[<Figure size 640x480 with 1 Axes>]

Tip

BarPlot can use plotly to generate an interactive web-based figure. Just set the execution option file_format to "html".