Classe « Axes »

Méthode matplotlib.pyplot.Axes.spy

Signature de la méthode spy

def spy(self, Z, precision=0, marker=None, markersize=None, aspect='equal', origin='upper', **kwargs) 

Description

spy.__doc__

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*, `~.Axes.imshow` is used. Any
extra remaining keyword arguments 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 keyword arguments
passed to `~.Axes.plot`.

Parameters
----------
Z : (M, N) array-like
    The array to be plotted.

precision : float or 'present', default: 0
    If *precision* is 0, any non-zero value will be plotted. Otherwise,
    values of :math:`|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.

aspect : {'equal', 'auto', None} or float, default: 'equal'
    The aspect ratio of the Axes.  This parameter is particularly
    relevant for images since it determines whether data pixels are
    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 :rc:`image.aspect`.

origin : {'upper', 'lower'}, default: :rc:`image.origin`
    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.

Returns
-------
`~matplotlib.image.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 `~.Axes.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*:

    Properties:
    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: scalar or None
    animated: bool
    antialiased or aa: bool
    clip_box: `.Bbox`
    clip_on: bool
    clip_path: Patch or (Path, Transform) or None
    color or c: color
    contains: unknown
    dash_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}
    dash_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}
    dashes: sequence of floats (on/off ink in points) or (None, None)
    data: (2, N) array or two 1D arrays
    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 string, `~.path.Path` or `~.markers.MarkerStyle`
    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) or list[bool]
    path_effects: `.AbstractPathEffect`
    picker: float or callable[[Artist, Event], tuple[bool, dict]]
    pickradius: float
    rasterized: bool
    sketch_params: (scale: float, length: float, randomness: float)
    snap: bool or None
    solid_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}
    solid_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}
    transform: `matplotlib.transforms.Transform`
    url: str
    visible: bool
    xdata: 1D array
    ydata: 1D array
    zorder: float