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Create a pseudocolor plot of an unstructured triangular grid.
Call signatures:
tripcolor(triangulation, c, *, ...)
tripcolor(x, y, c, *, [triangles=triangles], [mask=mask], ...)
The triangular grid can be specified either by passing a Triangulation
object as the first parameter, or by passing the points x, y and
optionally the triangles and a mask. See Triangulation for an
explanation of these parameters.
It is possible to pass the triangles positionally, i.e.
tripcolor(x, y, triangles, c, ...). However, this is discouraged.
For more clarity, pass triangles via keyword argument.
If neither of triangulation or triangles are given, the triangulation is calculated on the fly. In this case, it does not make sense to provide colors at the triangle faces via c or facecolors because there are multiple possible triangulations for a group of points and you don't know which triangles will be constructed.
TriangulationAn already created triangular grid.
Parameters defining the triangular grid. See Triangulation.
This is mutually exclusive with specifying triangulation.
The color values, either for the points or for the triangles. Which one
is automatically inferred from the length of c, i.e. does it match
the number of points or the number of triangles. If there are the same
number of points and triangles in the triangulation it is assumed that
color values are defined at points; to force the use of color values at
triangles use the keyword argument facecolors=c instead of just
c.
This parameter is position-only.
Can be used alternatively to c to specify colors at the triangle faces. This parameter takes precedence over c.
If 'flat' and the color values c are defined at points, the color values used for each triangle are from the mean c of the triangle's three points. If shading is 'gouraud' then color values must be defined at points.
Colormap, default: rcParams["image.cmap"] (default: 'viridis')The Colormap instance or registered colormap name used to map scalar data to colors.
Normalize, optionalThe 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.
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).
Colorizer or None, default: NoneThe Colorizer object used to map color to data. If None, a Colorizer object is created from a norm and cmap.
PolyCollection or TriMeshThe result depends on shading: For shading='flat' the result is a
PolyCollection, for shading='gouraud' the result is a TriMesh.
Collection propertiesProperty |
Description |
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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 |
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array-like or float or None |
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bool |
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bool or list of bools |
array-like or None |
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(vmin: float, vmax: float) |
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bool |
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Patch or (Path, Transform) or None |
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color or list of RGBA tuples |
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str |
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{'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} |
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unknown |
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bool |
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object |
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{'-', '--', '-.', ':', '', ...} or (offset, on-off-seq) or list thereof |
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float or list of floats |
bool |
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(N, 2) or (2,) array-like |
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list of |
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unknown |
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None or bool or float or callable |
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float |
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bool |
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(scale: float, length: float, randomness: float) |
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bool or None |
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str |
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list of str or None |
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bool |
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float |
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