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Method __call__

lib/matplotlib/colors.py:1731–1826  ·  view source on GitHub ↗

r""" Parameters ---------- X : tuple (X0, X1), X0 and X1: float or int or array-like The data value(s) to convert to RGBA. - For floats, *X* should be in the interval ``[0.0, 1.0]`` to return the RGBA values ``X*100`` percent along the C

(self, X, alpha=None, bytes=False)

Source from the content-addressed store, hash-verified

1729 self.colorbar_extend = False'''
1730
1731 def __call__(self, X, alpha=None, bytes=False):
1732 r"""
1733 Parameters
1734 ----------
1735 X : tuple (X0, X1), X0 and X1: float or int or array-like
1736 The data value(s) to convert to RGBA.
1737
1738 - For floats, *X* should be in the interval ``[0.0, 1.0]`` to
1739 return the RGBA values ``X*100`` percent along the Colormap.
1740 - For integers, *X* should be in the interval ``[0, Colormap.N)`` to
1741 return RGBA values *indexed* from the Colormap with index ``X``.
1742
1743 alpha : float or array-like or None, default: None
1744 Alpha must be a scalar between 0 and 1, a sequence of such
1745 floats with shape matching X0, or None.
1746 bytes : bool, default: False
1747 If False (default), the returned RGBA values will be floats in the
1748 interval ``[0, 1]`` otherwise they will be `numpy.uint8`\s in the
1749 interval ``[0, 255]``.
1750
1751 Returns
1752 -------
1753 Tuple of RGBA values if X is scalar, otherwise an array of
1754 RGBA values with a shape of ``X.shape + (4, )``.
1755 """
1756
1757 if len(X) != 2:
1758 raise ValueError(
1759 f'For a `BivarColormap` the data must have a first dimension '
1760 f'2, not {len(X)}')
1761
1762 if not self._isinit:
1763 self._init()
1764
1765 X0 = np.ma.array(X[0], copy=True)
1766 X1 = np.ma.array(X[1], copy=True)
1767 # clip to shape of colormap, circle square, etc.
1768 self._clip((X0, X1))
1769
1770 # Native byteorder is faster.
1771 if not X0.dtype.isnative:
1772 X0 = X0.byteswap().view(X0.dtype.newbyteorder())
1773 if not X1.dtype.isnative:
1774 X1 = X1.byteswap().view(X1.dtype.newbyteorder())
1775
1776 if X0.dtype.kind == "f":
1777 X0 *= self.N
1778 # xa == 1 (== N after multiplication) is not out of range.
1779 X0[X0 == self.N] = self.N - 1
1780
1781 if X1.dtype.kind == "f":
1782 X1 *= self.M
1783 # xa == 1 (== N after multiplication) is not out of range.
1784 X1[X1 == self.M] = self.M - 1
1785
1786 # Pre-compute the masks before casting to int (which can truncate)
1787 mask_outside = (X0 < 0) | (X1 < 0) | (X0 >= self.N) | (X1 >= self.M)
1788 # If input was masked, get the bad mask from it; else mask out nans.

Callers

nothing calls this directly

Calls 5

_initMethod · 0.95
_clipMethod · 0.95
copyMethod · 0.45
clipMethod · 0.45
shapeMethod · 0.45

Tested by

no test coverage detected