# Copyright (c) 2019-2021 - for information on the respective copyright owner
# see the NOTICE file and/or the repository
# https://github.com/boschresearch/pylife
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
__author__ = "Johannes Mueller"
__maintainer__ = __author__
import pandas as pd
from matplotlib.patches import Polygon
from matplotlib.collections import PatchCollection
from matplotlib import cm as colormap
from pylife.mesh import meshsignal
[docs]@pd.api.extensions.register_dataframe_accessor('meshplot')
class PlotmeshAccessor(meshsignal.MeshAccessor):
''' Plot a value on a 2d mesh
The accessed DataFrame must be accessible by :class:`meshsignal.MeshAccessor`.
'''
[docs] def plot(self, axis, value_key, **kwargs):
'''Plot the accessed dataframe
Parameters
----------
ax : matplotlib.pyplot.axis
The axis to plot on
value_key : str
The column name in the accessed DataFrame
**kwargs
Arguments passed to the :class:`matplotlib.collections.PatchCollection`,
like for example ``cmap``
See also
--------
:func:`pandas.api.extensions.register_dataframe_accessor()`
'''
patches = []
xmin = self._obj.x.min()
xmax = self._obj.x.max()
ymin = self._obj.y.min()
ymax = self._obj.y.max()
for _, el in self._obj.groupby('element_id'):
nds = el.loc[el.index.get_level_values('node_id')[0:el.shape[0]//2], ['x', 'y']].to_numpy()
patches.append(Polygon(nds, closed=True))
sf = PatchCollection(patches, **kwargs)
sf.set_array(self._obj[value_key].groupby('element_id').mean())
axis.add_collection(sf)
axis.set_xlim((xmin, xmax))
axis.set_ylim((ymin, ymax))
axis.figure.colorbar(sf, ax=axis)