ChartMPL

class ChartMPL(*args, **kwargs)

Create new chart from an existing matplotlib figure.

Parameters:

figurematplotlib.figure.Figure, optional

The matplotlib figure to draw. If no figure is provided ( None ), a new figure is created.

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.

redraw_on_renderbool, default: True

Flag indicating whether the chart should be redrawn when the plotter is rendered. For static charts, setting this to False can improve performance.

Examples

Download Python source code | Download Jupyter notebook

Plot streamlines of a vector field with varying colors (based on this example).

>>> import pyvista as pv
>>> import numpy as np
>>> import matplotlib.pyplot as plt

>>> w = 3
>>> Y, X = np.mgrid[-w:w:100j, -w:w:100j]
>>> U = -1 - X**2 + Y
>>> V = 1 + X - Y**2
>>> speed = np.sqrt(U**2 + V**2)

>>> f, ax = plt.subplots()
>>> strm = ax.streamplot(X, Y, U, V, color=U, linewidth=2, cmap='autumn')
>>> _ = f.colorbar(strm.lines)
>>> _ = ax.set_title('Streamplot with varying Color')
>>> plt.tight_layout()

>>> chart = pv.ChartMPL(f)
>>> chart.show()

Used In

Docstring Examples

• ChartMPL.active_background_color (1 use)
• ChartMPL.active_border_color (1 use)
• ChartMPL.background_color (1 use)
• ChartMPL.background_texture (1 use)
• ChartMPL.border_color (1 use)
• 10 more

  • ChartMPL.border_style (1 use)
  • ChartMPL.border_width (1 use)
  • ChartMPL.figure (1 use)
  • ChartMPL.legend_visible (1 use)
  • ChartMPL.loc (1 use)
  • ChartMPL.show (1 use)
  • ChartMPL.size (1 use)
  • ChartMPL.title (1 use)
  • ChartMPL.toggle (1 use)
  • ChartMPL.visible (1 use)

Gallery Examples

Chart Basics

Chart Basics

1 use

Chart Overlays

Chart Overlays

1 use

Inheritance

Wraps vtkImageItem.

Attributes

ChartMPL.active_background_color	Return or set the chart's background color in interactive mode.
ChartMPL.active_border_color	Return or set the chart's border color in interactive mode.
ChartMPL.background_color	Return or set the chart's background color.
ChartMPL.background_texture	Return or set the chart's background texture.
ChartMPL.border_color	Return or set the chart's border color.
ChartMPL.border_style	Return or set the chart's border style.
ChartMPL.border_width	Return or set the chart's border width.
ChartMPL.figure	Retrieve the matplotlib figure associated with this chart.
ChartMPL.legend	Access the legend of the underlying matplotlib axes.
ChartMPL.legend_visible	Return or set the visibility of the chart's legend.
ChartMPL.loc	Return or set the chart position in normalized coordinates.
ChartMPL.position	Chart position w.r.t the bottom left corner (in pixels).
ChartMPL.redraw_on_render	Return or set the chart's redraw-on-render behavior.
ChartMPL.size	Return or set the chart size in normalized coordinates.
ChartMPL.title	Return or set the chart's title.
ChartMPL.visible	Return or set the chart's visibility.

Methods

ChartMPL.show([interactive, off_screen, ...])	Show this chart in a self contained plotter.
ChartMPL.toggle()	Toggle the chart's visibility.