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matplotlib.pyplot.scatter#

matplotlib.pyplot.scatter(x, y, s=None, c=None, *, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, edgecolors=None, colorizer=None, plotnonfinite=False, data=None, **kwargs)[source]#

A scatter plot of y vs. x with varying marker size and/or color.

Parameters:

x, yfloat or array-like, shape (n, )

The data positions.

sfloat or array-like, shape (n, ), optional

The marker size in points**2 (typographic points are 1/72 in.). Default is rcParams['lines.markersize'] ** 2.

The linewidth and edgecolor can visually interact with the marker size, and can lead to artifacts if the marker size is smaller than the linewidth.

If the linewidth is greater than 0 and the edgecolor is anything but 'none', then the effective size of the marker will be increased by half the linewidth because the stroke will be centered on the edge of the shape.

To eliminate the marker edge either set linewidth=0 or edgecolor='none'.

carray-like or list of color or color, optional

The marker colors. Possible values:

A scalar or sequence of n numbers to be mapped to colors using cmap and norm.
A 2D array in which the rows are RGB or RGBA.
A sequence of colors of length n.
A single color format string.

Note that c should not be a single numeric RGB or RGBA sequence because that is indistinguishable from an array of values to be colormapped. If you want to specify the same RGB or RGBA value for all points, use a 2D array with a single row. Otherwise, value-matching will have precedence in case of a size matching with x and y.

If you wish to specify a single color for all points prefer the color keyword argument.

Defaults to None. In that case the marker color is determined by the value of color, facecolor or facecolors. In case those are not specified or None, the marker color is determined by the next color of the Axes' current "shape and fill" color cycle. This cycle defaults to rcParams["axes.prop_cycle"] (default: cycler('color', [(0.12156862745098039, 0.4666666666666667, 0.7058823529411765), (1.0, 0.4980392156862745, 0.054901960784313725), (0.17254901960784313, 0.6274509803921569, 0.17254901960784313), (0.8392156862745098, 0.15294117647058825, 0.1568627450980392), (0.5803921568627451, 0.403921568627451, 0.7411764705882353), (0.5490196078431373, 0.33725490196078434, 0.29411764705882354), (0.8901960784313725, 0.4666666666666667, 0.7607843137254902), (0.4980392156862745, 0.4980392156862745, 0.4980392156862745), (0.7372549019607844, 0.7411764705882353, 0.13333333333333333), (0.09019607843137255, 0.7450980392156863, 0.8117647058823529)])).

markerMarkerStyle, default: rcParams["scatter.marker"] (default: 'o')

The marker style. marker can be either an instance of the class or the text shorthand for a particular marker. See matplotlib.markers for more information about marker styles.

cmapstr or Colormap, default: rcParams["image.cmap"] (default: 'viridis')

The Colormap instance or registered colormap name used to map scalar data to colors.

This parameter is ignored if c is RGB(A).

normstr or Normalize, optional

The normalization method used to scale scalar data to the [0, 1] range before mapping to colors using cmap. By default, a linear scaling is used, mapping the lowest value to 0 and the highest to 1.

If given, this can be one of the following:

An instance of Normalize or one of its subclasses (see Colormap normalization).
A scale name, i.e. one of "linear", "log", "symlog", "logit", etc. For a list of available scales, call matplotlib.scale.get_scale_names(). In that case, a suitable Normalize subclass is dynamically generated and instantiated.

This parameter is ignored if c is RGB(A).

vmin, vmaxfloat, optional

When using scalar data and no explicit norm, vmin and vmax define the data range that the colormap covers. By default, the colormap covers the complete value range of the supplied data. It is an error to use vmin/vmax when a norm instance is given (but using a str norm name together with vmin/vmax is acceptable).

This parameter is ignored if c is RGB(A).

alphafloat, default: None

The alpha blending value, between 0 (transparent) and 1 (opaque).

linewidthsfloat or array-like, default: rcParams["lines.linewidth"] (default: 1.5)

The linewidth of the marker edges. Note: The default edgecolors is 'face'. You may want to change this as well.

edgecolors{'face', 'none', None} or color or list of color, default: rcParams["scatter.edgecolors"] (default: 'face')

The edge color of the marker. Possible values:

'face': The edge color will always be the same as the face color.
'none': No patch boundary will be drawn.
A color or sequence of colors.

For non-filled markers, edgecolors is ignored. Instead, the color is determined like with 'face', i.e. from c, colors, or facecolors.

colorizerColorizer or None, default: None

The Colorizer object used to map color to data. If None, a Colorizer object is created from a norm and cmap.

This parameter is ignored if c is RGB(A).

plotnonfinitebool, default: False

Whether to plot points with nonfinite c (i.e. inf, -inf or nan). If True the points are drawn with the bad colormap color (see Colormap.set_bad).

Returns:

PathCollection

Other Parameters:

dataindexable object, optional

If given, the following parameters also accept a string s, which is interpreted as data[s] if s is a key in data:

x, y, s, linewidths, edgecolors, c, facecolor, facecolors, color

**kwargsPathCollection properties

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 and two offsets from the bottom left corner of the image
`alpha`	array-like or float or None
`animated`	bool
`antialiased` or `aa` or `antialiaseds`	bool or list of bools
`array`	array-like or None
`capstyle`	`CapStyle` or {'butt', 'projecting', 'round'}
`clim`	(vmin: float, vmax: float)
`clip_box`	`BboxBase` or None
`clip_on`	bool
`clip_path`	Patch or (Path, Transform) or None
`cmap`	`Colormap` or str or None
`color`	color or list of RGBA tuples
`edgecolor` or `ec` or `edgecolors`	color or list of color or 'face'
`facecolor` or `facecolors` or `fc`	color or list of color
`figure`	`Figure` or `SubFigure`
`gid`	str
`hatch`	{'/', '\', '\|', '-', '+', 'x', 'o', 'O', '.', '*'}
`hatch_linewidth`	unknown
`hatchcolor`	color or list of color or 'edge'
`in_layout`	bool
`joinstyle`	`JoinStyle` or {'miter', 'round', 'bevel'}
`label`	object
`linestyle` or `dashes` or `linestyles` or `ls`	{'-', '--', '-.', ':', '', ...} or (offset, on-off-seq) or list thereof
`linewidth` or `linewidths` or `lw`	float or list of floats
`mouseover`	bool
`norm`	`Normalize` or str or None
`offset_transform` or `transOffset`	`Transform`
`offsets`	(N, 2) or (2,) array-like
`path_effects`	list of `AbstractPathEffect`
`paths`	unknown
`picker`	None or bool or float or callable
`pickradius`	float
`rasterized`	bool
`sizes`	`numpy.ndarray` or None
`sketch_params`	(scale: float, length: float, randomness: float)
`snap`	bool or None
`transform`	`Transform`
`url`	str
`urls`	list of str or None
`visible`	bool
`zorder`	float