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training.python.datascience/source/plotting/charts/bar_chart.py

22 lines
703 B
Python

from typing import Iterable
from matplotlib import pyplot as plot
from matplotlib.axes import Axes
from matplotlib.figure import Figure
import matplotlib
if __name__ == '__main__':
matplotlib.use("QtCairo")
labels: Iterable[str] = ("Janvier", "Février", "Mars", "Avril")
values: Iterable[float] = (50, 11.4, 91, 66.1)
figure: Figure
axis: Axes
figure, axis = plot.subplots(nrows=1, ncols=1)
axis.bar(x=labels, height=values, color="#00ff00")
circle = plot.Circle((2, 20), 2, color="#FF0000", fill=False)
axis.set_ylabel("Précipitations (mm)")
axis.set_xlabel("Mois")
axis.set_title("Précipitations pour 2022")
axis.add_artist(circle)
plot.show()