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Classe « Colorizer »

Méthode matplotlib.pyplot.Colorizer.to_rgba

Signature de la méthode to_rgba

def to_rgba(self, x, alpha=None, bytes=False, norm=True) 

Description

help(Colorizer.to_rgba)

Return a normalized RGBA array corresponding to *x*.

In the normal case, *x* is a 1D or 2D sequence of scalars, and
the corresponding `~numpy.ndarray` of RGBA values will be returned,
based on the norm and colormap set for this Colorizer.

There is one special case, for handling images that are already
RGB or RGBA, such as might have been read from an image file.
If *x* is an `~numpy.ndarray` with 3 dimensions,
and the last dimension is either 3 or 4, then it will be
treated as an RGB or RGBA array, and no mapping will be done.
The array can be `~numpy.uint8`, or it can be floats with
values in the 0-1 range; otherwise a ValueError will be raised.
Any NaNs or masked elements will be set to 0 alpha.
If the last dimension is 3, the *alpha* kwarg (defaulting to 1)
will be used to fill in the transparency.  If the last dimension
is 4, the *alpha* kwarg is ignored; it does not
replace the preexisting alpha.  A ValueError will be raised
if the third dimension is other than 3 or 4.

In either case, if *bytes* is *False* (default), the RGBA
array will be floats in the 0-1 range; if it is *True*,
the returned RGBA array will be `~numpy.uint8` in the 0 to 255 range.

If norm is False, no normalization of the input data is
performed, and it is assumed to be in the range (0-1).

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