matplotlib.axes.Axes.spy

Axes.spy(Z, precision=0, marker=None, markersize=None, aspect='equal', origin='upper', **kwargs) [source]

Plot the sparsity pattern of a 2D array.

This visualizes the non-zero values of the array.

Two plotting styles are available: image and marker. Both are available for full arrays, but only the marker style works for scipy.sparse.spmatrix instances.

Image style

If marker and markersize are None, imshow is used. Any extra remaining kwargs are passed to this method.

Marker style

If Z is a scipy.sparse.spmatrix or marker or markersize are None, a Line2D object will be returned with the value of marker determining the marker type, and any remaining kwargs passed to plot.

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 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"] 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. 'equal': Ensures an aspect ratio of 1. Pixels will be square. 'auto': The axes is kept fixed and the aspect is adjusted so that the data fit in the axes. In general, this will result in non-square pixels. None: Use rcParams["image.aspect"] (default: 'equal'). Default: 'equal'
Returns:	ret : AxesImage or Line2D The return type depends on the plotting style (see above).
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: cmap alpha url any Artist properties (passed on to the AxesImage) 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 bool clip_box Bbox clip_on bool clip_path [(Path, Transform) | Patch | None] color 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 {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'} figure Figure fillstyle {'full', 'left', 'right', 'bottom', 'top', 'none'} gid str in_layout bool label object linestyle {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth float marker unknown markeredgecolor color markeredgewidth float markerfacecolor color markerfacecoloralt color markersize float markevery unknown 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

Examples using matplotlib.axes.Axes.spy