Python matplotlib.tri.triangulation.Triangulation.get_from_args_and_kwargs() Examples
The following are 16
code examples of matplotlib.tri.triangulation.Triangulation.get_from_args_and_kwargs().
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matplotlib.tri.triangulation.Triangulation
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.
Example #1
| Source File: tricontour.py From GraphicDesignPatternByPython with MIT License | 7 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args,
**kwargs)
z = np.asarray(args[0])
if z.shape != tri.x.shape:
raise ValueError('z array must have same length as triangulation x'
' and y arrays')
self.zmax = z.max()
self.zmin = z.min()
if self.logscale and self.zmin <= 0:
raise ValueError('Cannot %s log of negative values.' % fn)
self._contour_level_args(z, args[1:])
return (tri, z)
Example #2
| Source File: tricontour.py From Mastering-Elasticsearch-7.0 with MIT License | 6 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args,
**kwargs)
z = np.asarray(args[0])
if z.shape != tri.x.shape:
raise ValueError('z array must have same length as triangulation x'
' and y arrays')
self.zmax = z.max()
self.zmin = z.min()
if self.logscale and self.zmin <= 0:
raise ValueError('Cannot %s log of negative values.' % fn)
self._contour_level_args(z, args[1:])
return (tri, z)
Example #3
| Source File: tricontour.py From neural-network-animation with MIT License | 6 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args,
**kwargs)
z = np.asarray(args[0])
if z.shape != tri.x.shape:
raise ValueError('z array must have same length as triangulation x'
'and y arrays')
self.zmax = z.max()
self.zmin = z.min()
if self.logscale and self.zmin <= 0:
raise ValueError('Cannot %s log of negative values.' % fn)
self._contour_level_args(z, args[1:])
return (tri, z)
Example #4
| Source File: tricontour.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 6 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args,
**kwargs)
z = np.asarray(args[0])
if z.shape != tri.x.shape:
raise ValueError('z array must have same length as triangulation x'
' and y arrays')
self.zmax = z.max()
self.zmin = z.min()
if self.logscale and self.zmin <= 0:
raise ValueError('Cannot %s log of negative values.' % fn)
self._contour_level_args(z, args[1:])
return (tri, z)
Example #5
| Source File: tricontour.py From ImageFusion with MIT License | 6 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args,
**kwargs)
z = np.asarray(args[0])
if z.shape != tri.x.shape:
raise ValueError('z array must have same length as triangulation x'
'and y arrays')
self.zmax = z.max()
self.zmin = z.min()
if self.logscale and self.zmin <= 0:
raise ValueError('Cannot %s log of negative values.' % fn)
self._contour_level_args(z, args[1:])
return (tri, z)
Example #6
| Source File: tricontour.py From coffeegrindsize with MIT License | 6 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args,
**kwargs)
z = np.asarray(args[0])
if z.shape != tri.x.shape:
raise ValueError('z array must have same length as triangulation x'
' and y arrays')
self.zmax = z.max()
self.zmin = z.min()
if self.logscale and self.zmin <= 0:
raise ValueError('Cannot %s log of negative values.' % fn)
self._contour_level_args(z, args[1:])
return (tri, z)
Example #7
| Source File: tricontour.py From twitter-stock-recommendation with MIT License | 6 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args,
**kwargs)
z = np.asarray(args[0])
if z.shape != tri.x.shape:
raise ValueError('z array must have same length as triangulation x'
' and y arrays')
self.zmax = z.max()
self.zmin = z.min()
if self.logscale and self.zmin <= 0:
raise ValueError('Cannot %s log of negative values.' % fn)
self._contour_level_args(z, args[1:])
return (tri, z)
Example #8
| Source File: tricontour.py From Computable with MIT License | 5 votes |
|
def _contour_args(self, args, kwargs):
if self.filled: fn = 'contourf'
else: fn = 'contour'
tri, args, kwargs = \
Triangulation.get_from_args_and_kwargs(*args, **kwargs)
z = np.asarray(args[0])
if z.shape != tri.x.shape:
raise ValueError('z array must have same length as triangulation x'
'and y arrays')
self.zmax = z.max()
self.zmin = z.min()
if self.logscale and self.zmin <= 0:
raise ValueError('Cannot %s log of negative values.' % fn)
self._contour_level_args(z, args[1:])
return (tri, z)
Example #9
| Source File: tricontour.py From matplotlib-4-abaqus with MIT License | 5 votes |
|
def _contour_args(self, args, kwargs):
if self.filled: fn = 'contourf'
else: fn = 'contour'
tri, args, kwargs = \
Triangulation.get_from_args_and_kwargs(*args, **kwargs)
z = np.asarray(args[0])
if z.shape != tri.x.shape:
raise ValueError('z array must have same length as triangulation x'
'and y arrays')
self.zmax = z.max()
self.zmin = z.min()
if self.logscale and self.zmin <= 0:
raise ValueError('Cannot %s log of negative values.' % fn)
self._contour_level_args(z, args[1:])
return (tri, z)
Example #10
| Source File: tricontour.py From CogAlg with MIT License | 5 votes |
|
def _contour_args(self, args, kwargs):
if self.filled:
fn = 'contourf'
else:
fn = 'contour'
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(*args,
**kwargs)
z = np.ma.asarray(args[0])
if z.shape != tri.x.shape:
raise ValueError('z array must have same length as triangulation x'
' and y arrays')
# z values must be finite, only need to check points that are included
# in the triangulation.
z_check = z[np.unique(tri.get_masked_triangles())]
if np.ma.is_masked(z_check):
raise ValueError('z must not contain masked points within the '
'triangulation')
if not np.isfinite(z_check).all():
raise ValueError('z array must not contain non-finite values '
'within the triangulation')
z = np.ma.masked_invalid(z, copy=False)
self.zmax = float(z_check.max())
self.zmin = float(z_check.min())
if self.logscale and self.zmin <= 0:
raise ValueError('Cannot %s log of negative values.' % fn)
self._contour_level_args(z, args[1:])
return (tri, z)
Example #11
| Source File: axes3d.py From GraphicDesignPatternByPython with MIT License | 4 votes |
|
def tricontour(self, *args,
extend3d=False, stride=5, zdir='z', offset=None, **kwargs):
"""
Create a 3D contour plot.
========== ================================================
Argument Description
========== ================================================
*X*, *Y*, Data values as numpy.arrays
*Z*
*extend3d* Whether to extend contour in 3D (default: False)
*stride* Stride (step size) for extending contour
*zdir* The direction to use: x, y or z (default)
*offset* If specified plot a projection of the contour
lines on this position in plane normal to zdir
========== ================================================
Other keyword arguments are passed on to
:func:`~matplotlib.axes.Axes.tricontour`
Returns a :class:`~matplotlib.axes.Axes.contour`
.. versionchanged:: 1.3.0
Added support for custom triangulations
EXPERIMENTAL: This method currently produces incorrect output due to a
longstanding bug in 3D PolyCollection rendering.
"""
had_data = self.has_data()
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
*args, **kwargs)
X = tri.x
Y = tri.y
if 'Z' in kwargs:
Z = kwargs.pop('Z')
else:
Z = args[0]
# We do this so Z doesn't get passed as an arg to Axes.tricontour
args = args[1:]
jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
tri = Triangulation(jX, jY, tri.triangles, tri.mask)
cset = super().tricontour(tri, jZ, *args, **kwargs)
self.add_contour_set(cset, extend3d, stride, zdir, offset)
self.auto_scale_xyz(X, Y, Z, had_data)
return cset
Example #12
| Source File: axes3d.py From GraphicDesignPatternByPython with MIT License | 4 votes |
|
def tricontourf(self, *args, zdir='z', offset=None, **kwargs):
"""
Create a 3D contourf plot.
========== ================================================
Argument Description
========== ================================================
*X*, *Y*, Data values as numpy.arrays
*Z*
*zdir* The direction to use: x, y or z (default)
*offset* If specified plot a projection of the contour
lines on this position in plane normal to zdir
========== ================================================
Other keyword arguments are passed on to
:func:`~matplotlib.axes.Axes.tricontour`
Returns a :class:`~matplotlib.axes.Axes.contour`
.. versionchanged :: 1.3.0
Added support for custom triangulations
EXPERIMENTAL: This method currently produces incorrect output due to a
longstanding bug in 3D PolyCollection rendering.
"""
had_data = self.has_data()
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
*args, **kwargs)
X = tri.x
Y = tri.y
if 'Z' in kwargs:
Z = kwargs.pop('Z')
else:
Z = args[0]
# We do this so Z doesn't get passed as an arg to Axes.tricontourf
args = args[1:]
jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
tri = Triangulation(jX, jY, tri.triangles, tri.mask)
cset = super().tricontourf(tri, jZ, *args, **kwargs)
self.add_contourf_set(cset, zdir, offset)
self.auto_scale_xyz(X, Y, Z, had_data)
return cset
Example #13
| Source File: axes3d.py From opticspy with MIT License | 4 votes |
|
def tricontour(self, *args, **kwargs):
"""
Create a 3D contour plot.
========== ================================================
Argument Description
========== ================================================
*X*, *Y*, Data values as numpy.arrays
*Z*
*extend3d* Whether to extend contour in 3D (default: False)
*stride* Stride (step size) for extending contour
*zdir* The direction to use: x, y or z (default)
*offset* If specified plot a projection of the contour
lines on this position in plane normal to zdir
========== ================================================
Other keyword arguments are passed on to
:func:`~matplotlib.axes.Axes.tricontour`
Returns a :class:`~matplotlib.axes.Axes.contour`
.. versionchanged:: 1.3.0
Added support for custom triangulations
EXPERIMENTAL: This method currently produces incorrect output due to a
longstanding bug in 3D PolyCollection rendering.
"""
extend3d = kwargs.pop('extend3d', False)
stride = kwargs.pop('stride', 5)
zdir = kwargs.pop('zdir', 'z')
offset = kwargs.pop('offset', None)
had_data = self.has_data()
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
*args, **kwargs)
X = tri.x
Y = tri.y
if 'Z' in kwargs:
Z = kwargs.pop('Z')
else:
Z = args[0]
# We do this so Z doesn't get passed as an arg to Axes.tricontour
args = args[1:]
jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
tri = Triangulation(jX, jY, tri.triangles, tri.mask)
cset = Axes.tricontour(self, tri, jZ, *args, **kwargs)
self.add_contour_set(cset, extend3d, stride, zdir, offset)
self.auto_scale_xyz(X, Y, Z, had_data)
return cset
Example #14
| Source File: axes3d.py From opticspy with MIT License | 4 votes |
|
def tricontourf(self, *args, **kwargs):
"""
Create a 3D contourf plot.
========== ================================================
Argument Description
========== ================================================
*X*, *Y*, Data values as numpy.arrays
*Z*
*zdir* The direction to use: x, y or z (default)
*offset* If specified plot a projection of the contour
lines on this position in plane normal to zdir
========== ================================================
Other keyword arguments are passed on to
:func:`~matplotlib.axes.Axes.tricontour`
Returns a :class:`~matplotlib.axes.Axes.contour`
.. versionchanged :: 1.3.0
Added support for custom triangulations
EXPERIMENTAL: This method currently produces incorrect output due to a
longstanding bug in 3D PolyCollection rendering.
"""
zdir = kwargs.pop('zdir', 'z')
offset = kwargs.pop('offset', None)
had_data = self.has_data()
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
*args, **kwargs)
X = tri.x
Y = tri.y
if 'Z' in kwargs:
Z = kwargs.pop('Z')
else:
Z = args[0]
# We do this so Z doesn't get passed as an arg to Axes.tricontourf
args = args[1:]
jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
tri = Triangulation(jX, jY, tri.triangles, tri.mask)
cset = Axes.tricontourf(self, tri, jZ, *args, **kwargs)
self.add_contourf_set(cset, zdir, offset)
self.auto_scale_xyz(X, Y, Z, had_data)
return cset
Example #15
| Source File: axes3d.py From CogAlg with MIT License | 4 votes |
|
def tricontour(self, *args,
extend3d=False, stride=5, zdir='z', offset=None, **kwargs):
"""
Create a 3D contour plot.
.. versionchanged:: 1.3.0
Added support for custom triangulations
.. note::
This method currently produces incorrect output due to a
longstanding bug in 3D PolyCollection rendering.
Parameters
----------
X, Y, Z : array-likes
Input data.
extend3d : bool
Whether to extend contour in 3D; defaults to False.
stride : int
Step size for extending contour.
zdir : {'x', 'y', 'z'}
The direction to use; defaults to 'z'.
offset : scalar
If specified, plot a projection of the contour lines at this
position in a plane normal to zdir
*args, **kwargs
Other arguments are forwarded to `matplotlib.axes.Axes.tricontour`.
Returns
-------
matplotlib.tri.tricontour.TriContourSet
"""
had_data = self.has_data()
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
*args, **kwargs)
X = tri.x
Y = tri.y
if 'Z' in kwargs:
Z = kwargs.pop('Z')
else:
Z = args[0]
# We do this so Z doesn't get passed as an arg to Axes.tricontour
args = args[1:]
jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
tri = Triangulation(jX, jY, tri.triangles, tri.mask)
cset = super().tricontour(tri, jZ, *args, **kwargs)
self.add_contour_set(cset, extend3d, stride, zdir, offset)
self.auto_scale_xyz(X, Y, Z, had_data)
return cset
Example #16
| Source File: axes3d.py From CogAlg with MIT License | 4 votes |
|
def tricontourf(self, *args, zdir='z', offset=None, **kwargs):
"""
Create a 3D filled contour plot.
.. note::
This method currently produces incorrect output due to a
longstanding bug in 3D PolyCollection rendering.
Parameters
----------
X, Y, Z : array-likes
Input data.
zdir : {'x', 'y', 'z'}
The direction to use; defaults to 'z'.
offset : scalar
If specified, plot a projection of the contour lines at this
position in a plane normal to zdir
*args, **kwargs
Other arguments are forwarded to
`matplotlib.axes.Axes.tricontourf`.
Returns
-------
matplotlib.tri.tricontour.TriContourSet
Notes
-----
.. versionadded:: 1.1.0
The *zdir* and *offset* parameters.
.. versionchanged:: 1.3.0
Added support for custom triangulations
"""
had_data = self.has_data()
tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
*args, **kwargs)
X = tri.x
Y = tri.y
if 'Z' in kwargs:
Z = kwargs.pop('Z')
else:
Z = args[0]
# We do this so Z doesn't get passed as an arg to Axes.tricontourf
args = args[1:]
jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
tri = Triangulation(jX, jY, tri.triangles, tri.mask)
cset = super().tricontourf(tri, jZ, *args, **kwargs)
self.add_contourf_set(cset, zdir, offset)
self.auto_scale_xyz(X, Y, Z, had_data)
return cset
