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Showing content from https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.spy.html below:

matplotlib.pyplot.spy — Matplotlib 3.1.2 documentation

Parameters:
Z : array-like (M, N)

The array to be plotted.

precision : float or 'present', optional, default: 0

If precision is 0, any non-zero value will be plotted. Otherwise, values of \(|Z| > precision\) will be plotted.

For scipy.sparse.spmatrix instances, you can also pass 'present'. In this case any value present in the array will be plotted, even if it is identically zero.

origin : {'upper', 'lower'}, optional

Place the [0,0] index of the array in the upper left or lower left corner of the axes. The convention 'upper' is typically used for matrices and images. If not given, rcParams["image.origin"] = 'upper' is used, defaulting to 'upper'.

aspect : {'equal', 'auto', None} or float, optional

Controls the aspect ratio of the axes. The aspect is of particular relevance for images since it may distort the image, i.e. pixel will not be square.

This parameter is a shortcut for explicitly calling Axes.set_aspect. See there for further details.

Default: 'equal'

Other Parameters:
**kwargs

The supported additional parameters depend on the plotting style.

For the image style, you can pass the following additional parameters of imshow:

For the marker style, you can pass any Line2D property except for linestyle:

Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha float animated bool antialiased or aa bool clip_box Bbox clip_on bool clip_path [(Path, Transform) | Patch | None] color or c color contains callable dash_capstyle {'butt', 'round', 'projecting'} dash_joinstyle {'miter', 'round', 'bevel'} dashes sequence of floats (on/off ink in points) or (None, None) drawstyle or ds {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default' figure Figure fillstyle {'full', 'left', 'right', 'bottom', 'top', 'none'} gid str in_layout bool label object linestyle or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw float marker marker style markeredgecolor or mec color markeredgewidth or mew float markerfacecolor or mfc color markerfacecoloralt or mfcalt color markersize or ms float markevery None or int or (int, int) or slice or List[int] or float or (float, float) path_effects AbstractPathEffect picker float or callable[[Artist, Event], Tuple[bool, dict]] pickradius float rasterized bool or None sketch_params (scale: float, length: float, randomness: float) snap bool or None solid_capstyle {'butt', 'round', 'projecting'} solid_joinstyle {'miter', 'round', 'bevel'} transform matplotlib.transforms.Transform url str visible bool xdata 1D array ydata 1D array zorder float

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