healpy.projaxes.MollweideAxes.scatter

MollweideAxes.scatter(x, y, s=20, c='b', marker='o', cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, verts=None, **kwargs)

Make a scatter plot of x vs y, where x and y are sequence like objects of the same lengths.

Parameters:

x, y : array_like, shape (n, )

Input data

s : scalar or array_like, shape (n, ), optional, default: 20

size in points^2.

c : color or sequence of color, optional, default

c can be a single color format string, or a sequence of color specifications of length N, or a sequence of N numbers to be mapped to colors using the cmap and norm specified via kwargs (see below). 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. c can be a 2-D array in which the rows are RGB or RGBA, however.

marker : ~matplotlib.markers.MarkerStyle, optional, default: ‘o’

See ~matplotlib.markers for more information on the different styles of markers scatter supports.

cmap : ~matplotlib.colors.Colormap, optional, default: None

A ~matplotlib.colors.Colormap instance or registered name. cmap is only used if c is an array of floats. If None, defaults to rc image.cmap.

norm : ~matplotlib.colors.Normalize, optional, default: None

A ~matplotlib.colors.Normalize instance is used to scale luminance data to 0, 1. norm is only used if c is an array of floats. If None, use the default normalize().

vmin, vmax : scalar, optional, default: None

vmin and vmax are used in conjunction with norm to normalize luminance data. If either are None, the min and max of the color array is used. Note if you pass a norm instance, your settings for vmin and vmax will be ignored.

alpha : scalar, optional, default: None

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

linewidths : scalar or array_like, optional, default: None

If None, defaults to (lines.linewidth,). Note that this is a tuple, and if you set the linewidths argument you must set it as a sequence of floats, as required by ~matplotlib.collections.RegularPolyCollection.

Returns:

paths : ~matplotlib.collections.PathCollection

Other Parameters:  

kwargs : ~matplotlib.collections.Collection properties

Notes

Any or all of x, y, s, and c may be masked arrays, in which case all masks will be combined and only unmasked points will be plotted.

Examples