kwant.plotter.streamplot(field, box, cmap=None, bgcolor=None, linecolor='k', max_linewidth=3, min_linewidth=1, density=0.2222222222222222, colorbar=True, file=None, show=True, dpi=None, fig_size=None, ax=None)[source]

Draw streamlines of a flow field in Kwant style

Solid colored streamlines are drawn, superimposed on a color plot of the flow speed that may be disabled by setting bgcolor. The width of the streamlines is proportional to the flow speed. Lines that would be thinner than min_linewidth are blended in a perceptually correct way into the background color in order to create the illusion of arbitrarily thin lines. (This is done because some plot backends like PDF do not support lines of arbitrarily thin width.)

Internally, this routine uses matplotlib.pyplot.streamplot.


field : 3d arraylike of float

2d array of 2d vectors.

box : 2-sequence of 2-sequences of float

the extents of field: ((x0, x1), (y0, y1))

cmap : colormap, optional

Colormap for the background color plot. When not set the colormap “kwant_red” is used by default, unless bgcolor is set.

bgcolor : color definition, optional

The solid color of the background. Mutually exclusive with cmap.

linecolor : color definition

Color of the flow lines.

max_linewidth : float

Width of lines at maximum flow speed.

min_linewidth : float

Minimum width of lines before blending into the background color begins.

density : float

Number of flow lines per point of the field. The default value is chosen to show two lines per default width of the interpolation bump of interpolate_current.

colorbar : bool

Whether to show a colorbar if a colormap is used. Ignored if ax is provided.

file : string or file object or None

The output file. If None, output will be shown instead.

show : bool

Whether is to be called, and the output is to be shown immediately. Defaults to True.

dpi : float or None

Number of pixels per inch. If not set the matplotlib default is used.

fig_size : tuple or None

Figure size (width, height) in inches. If not set, the default matplotlib value is used.

ax : matplotlib.axes.Axes instance or None

If ax is not None, no new figure is created, but the plot is done within the existing Axes ax. in this case, file, show, dpi and fig_size are ignored.


fig : matplotlib figure

A figure with the output if ax is not set, else None.

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