pymor.discretizers.builtin.gui.jupyter.matplotlib

Module Contents

class pymor.discretizers.builtin.gui.jupyter.matplotlib.MPLPlotBase(U, grid, codim, legend, bounding_box=None, separate_colorbars=False, columns=2, separate_plots=False, separate_axes=False)

pymor.discretizers.builtin.gui.jupyter.matplotlib.visualize_matplotlib_1d(grid, U, codim=1, title=None, legend=None, separate_plots=True, separate_axes=False, columns=2)

Visualize scalar data associated to a one-dimensional Grid as a plot.

The grid’s ReferenceElement must be the line. The data can either be attached to the subintervals or vertices of the grid.

Parameters

grid

The underlying Grid.

U

VectorArray of the data to visualize. If len(U) > 1, the data is visualized as an animation in a single axes object or a series of axes, depending on the separate_axes switch. It is also possible to provide a tuple of VectorArrays, in which case several plots are made into one or multiple figures, depending on the separate_plots switch. The lengths of all arrays have to agree.

codim

The codimension of the entities the data in U is attached to (either 0 or 1).

title

Title of the plot.

legend

Description of the data that is plotted. Most useful if U is a tuple in which case legend has to be a tuple of strings of the same length.

separate_plots

If True, use multiple figures to visualize multiple VectorArrays.

separate_axes

If True, use separate axes for each figure instead of an Animation.

column

Number of columns the subplots are organized in.

pymor.discretizers.builtin.gui.jupyter.matplotlib.visualize_patch(grid, U, bounding_box=None, codim=2, title=None, legend=None, separate_colorbars=False, rescale_colorbars=False, columns=2)

Visualize scalar data associated to a two-dimensional Grid as a patch plot.

The grid’s ReferenceElement must be the triangle or square. The data can either be attached to the faces or vertices of the grid.

Parameters

grid

The underlying Grid.

U

VectorArray of the data to visualize. If len(U) > 1, the data is visualized as a time series of plots. Alternatively, a tuple of VectorArrays can be provided, in which case a subplot is created for each entry of the tuple. The lengths of all arrays have to agree.

bounding_box

A bounding box in which the grid is contained (defaults to grid.bounding_box()).

codim

The codimension of the entities the data in U is attached to (either 0 or 2).

title

Title of the plot.

legend

Description of the data that is plotted. Most useful if U is a tuple in which case legend has to be a tuple of strings of the same length.

separate_colorbars

If True, use separate colorbars for each subplot.

rescale_colorbars

If True, rescale colorbars to data in each frame.

columns

The number of columns in the visualizer GUI in case multiple plots are displayed at the same time.