pyvista.Chart2D

class Chart2D(size=(1, 1), loc=(0, 0), x_label='x', y_label='y', grid=True)

2D chart class similar to a matplotlib figure.

Parameters:

sizesequence[float], default: (1, 1)

Size of the chart in normalized coordinates. A size of (0, 0) is invisible, a size of (1, 1) occupies the whole renderer’s width and height.

locsequence[float], default: (0, 0)

Location of the chart (its bottom left corner) in normalized coordinates. A location of (0, 0) corresponds to the renderer’s bottom left corner, a location of (1, 1) corresponds to the renderer’s top right corner.

x_labelstr, default: “x”

Label along the x-axis.

y_labelstr, default: “y”

Label along the y-axis.

gridbool, default: True

Show the background grid in the plot.

Examples

Plot a simple sine wave as a scatter and line plot.

>>> import pyvista as pv
>>> import numpy as np
>>> x = np.linspace(0, 2*np.pi, 20)
>>> y = np.sin(x)
>>> chart = pv.Chart2D()
>>> _ = chart.scatter(x, y)
>>> _ = chart.line(x, y, 'r')
>>> chart.show()

Combine multiple types of plots in the same chart.

>>> rng = np.random.default_rng(1)
>>> x = np.arange(1, 8)
>>> y = rng.integers(5, 15, 7)
>>> e = np.abs(rng.normal(scale=2, size=7))
>>> z = rng.integers(0, 5, 7)
>>> chart = pv.Chart2D()
>>> _ = chart.area(x, y-e, y+e, color=(0.12, 0.46, 0.71, 0.2))
>>> _ = chart.line(x, y, color="tab:blue", style="--", label="Scores")
>>> _ = chart.scatter(x, y, color="tab:blue", style="d")
>>> _ = chart.bar(x, z, color="tab:orange", label="Violations")
>>> chart.x_axis.tick_locations = x
>>> chart.x_axis.tick_labels = ["Mon", "Tue", "Wed", "Thu", "Fri",
...                             "Sat", "Sun"]
>>> chart.x_label = "Day of week"
>>> chart.show()

Methods

Chart2D.area(x, y1[, y2, color, label])	Add an area plot to this chart.
Chart2D.bar(x, y[, color, orientation, label])	Add a bar plot to this chart.
Chart2D.clear([plot_type])	Remove all plots of the specified type from this chart.
Chart2D.hide_axes()	Hide the x- and y-axis of this chart.
Chart2D.line(x, y[, color, width, style, label])	Add a line plot to this chart.
Chart2D.plot(x[, y, fmt])	Matplotlib like plot method.
Chart2D.plots([plot_type])	Return all plots of the specified type in this chart.
Chart2D.remove_plot(plot)	Remove the given plot from this chart.
Chart2D.scatter(x, y[, color, size, style, ...])	Add a scatter plot to this chart.
Chart2D.show([interactive, off_screen, ...])	Show this chart in a self contained plotter.
Chart2D.stack(x, ys[, colors, labels])	Add a stack plot to this chart.
Chart2D.toggle()	Toggle the chart's visibility.

Attributes

Chart2D.active_background_color	Return or set the chart's background color in interactive mode.
Chart2D.active_border_color	Return or set the chart's border color in interactive mode.
Chart2D.background_color	Return or set the chart's background color.
Chart2D.background_texture	Return or set the chart's background texture.
Chart2D.border_color	Return or set the chart's border color.
Chart2D.border_style	Return or set the chart's border style.
Chart2D.border_width	Return or set the chart's border width.
Chart2D.grid	Enable or disable the chart grid.
Chart2D.legend_visible	Return or set the visibility of the chart's legend.
Chart2D.loc	Return or set the chart position in normalized coordinates.
Chart2D.size	Return or set the chart size in normalized coordinates.
Chart2D.title	Return or set the chart's title.
Chart2D.visible	Return or set the chart's visibility.
Chart2D.x_axis	Return this chart's horizontal (x) Axis.
Chart2D.x_label	Return or set the label of this chart's x-axis.
Chart2D.x_range	Return or set the range of this chart's x-axis.
Chart2D.y_axis	Return this chart's vertical (y) Axis.
Chart2D.y_label	Return or set the label of this chart's y-axis.
Chart2D.y_range	Return or set the range of this chart's y-axis.