plopp.backends.matplotlib.canvas.Canvas

class plopp.backends.matplotlib.canvas.Canvas(ax=None, cax=None, figsize=None, title=None, grid=False, user_vmin=None, user_vmax=None, aspect=None, cbar=False, legend=True, **ignored)

Matplotlib-based canvas used to render 2D graphics. It provides a figure and some axes, as well as functions for controlling the zoom, panning, and the scale of the axes.

Parameters:

• ax (Optional[Axes], default: None) – If supplied, use these axes to create the figure. If none are supplied, the canvas will create its own axes.

• cax (Optional[Axes], default: None) – If supplied, use these axes for the colorbar. If none are supplied, and a colorbar is required, the canvas will create its own axes.

• figsize (Optional[tuple[float, float]], default: None) – The width and height of the figure, in inches.

• title (Optional[str], default: None) – The title to be placed above the figure.

• grid (bool, default: False) – Display the figure grid if True.

• user_vmin (Union[Variable, float, None], default: None) – The minimum value for the y axis (1d plots only).

• user_vmax (Union[Variable, float, None], default: None) – The maximum value for the y axis (1d plots only).

• aspect (Optional[Literal['auto', 'equal', None]], default: None) – The aspect ratio for the axes.

• cbar (bool, default: False) – Add axes to host a colorbar if True.

• legend (bool | tuple[float, float], default: True) – Show legend if True. If legend is a tuple, it should contain the (x, y) coordinates of the legend’s anchor point in axes coordinates.

__init__(ax=None, cax=None, figsize=None, title=None, grid=False, user_vmin=None, user_vmax=None, aspect=None, cbar=False, legend=True, **ignored)

Methods

__init__([ax, cax, figsize, title, grid, ...])
download_figure()	Save the figure to a PNG file via a pop-up dialog.
draw()	Make a draw call to the underlying figure.
format_coord(x, y)	Format the coordinates of the mouse pointer to show the value of the data at that point.
is_widget()
logx()	Toggle the scale between linear and log along the horizontal axis.
logy()	Toggle the scale between linear and log along the vertical axis.
pan()	Activate the underlying Matplotlib pan tool.
panzoom(value)	Activate or deactivate the pan or zoom tool, depending on the input value.
register_format_coord(formatter)	Register a custom axis formatter for the x-axis.
reset_mode()	Reset the Matplotlib toolbar mode to nothing, to disable all Zoom/Pan tools.
save(filename, **kwargs)	Save the figure to file.
set_axes(dims, units, dtypes)	Set the axes dimensions and units.
to_image()	Convert the underlying Matplotlib figure to an image widget from ipywidgets.
to_widget()
update_legend()	Update the legend on the canvas.
zoom()	Activate the underlying Matplotlib zoom tool.

Attributes

cblabel	Get or set the label of the colorbar.
empty	Check if the canvas is empty.
grid	Get or set the visibility of the grid.
title	Get or set the title of the plot.
xlabel	Get or set the label of the x-axis.
xmax	Get or set the upper (right) bound of the x-axis.
xmin	Get or set the lower (left) bound of the x-axis.
xrange	Get or set the range/limits of the x-axis.
xscale	Get or set the scale of the x-axis ('linear' or 'log').
ylabel	Get or set the label of the y-axis.
ymax	Get or set the upper (top) bound of the y-axis.
ymin	Get or set the lower (bottom) bound of the y-axis.
yrange	Get or set the range/limits of the y-axis.
yscale	Get or set the scale of the y-axis ('linear' or 'log').