__init__(self, vcenter=0, halfrange=None, clip=False)
Unlike TwoSlopeNorm
, CenteredNorm
applies an equal rate of change around the center.
Useful when mapping symmetrical data around a conceptual center e.g., data that range from -2 to 4, with 0 as the midpoint, and with equal rates of change around that midpoint.
The data value that defines 0.5
in the normalization.
The range of data values that defines a range of 0.5
in the normalization, so that vcenter - halfrange is 0.0
and vcenter + halfrange is 1.0
in the normalization. Defaults to the largest absolute difference to vcenter for the values in the dataset.
Normalize symmetrical data around a center (0 by default).
This maps data values -2 to 0.25, 0 to 0.5, and 4 to 1.0 (assuming equal rates of change above and below 0.0):
See :>>> import matplotlib.colors as mcolors >>> norm = mcolors.CenteredNorm(halfrange=4.0) >>> data = [-2., 0., 4.] >>> norm(data) array([0.25, 0.5 , 1. ])
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