pandapipes import breaks matplotlib svg export

[jnettels]

Describe the bug
Importing pandapipes breaks the matplotlib svg export.

To Reproduce

"""pandapipes import breaks matplotlib svg export.

This script will cause matplotlib to fail with the error:

    File "***\matplotlib\backend_bases.py", line 746, in get_capstyle
    return self._capstyle.name
           ^^^^^^^^^^^^^^^^^^^
AttributeError: 'str' object has no attribute 'name'
"""

import matplotlib
import matplotlib.pyplot as plt

# This script is fine if pandapipes is not imported.
# Importing pandapipes sets the default capstyle to the string 'round',
# while it has to be an object ``CapStyle('round')``
import pandapipes

print("matplotlib", matplotlib.__version__)  # Tested with 3.10.8
print("pandapipes", pandapipes.__version__)  # Tested with 0.12.0

fig, ax = plt.subplots()
ax.scatter([1, 2], [1, 2])

# Setting your own capstyle prevents the issue
# ax.scatter([1, 2], [1, 2], capstyle="butt")

# The error is only actually triggered when saving as 'svg'. 'png' is fine.
plt.savefig("./matplotlib_capstyle_error.svg")

Error message

Details

Traceback (most recent call last):
  File "***\matplotlib_capstyle_error.py", line 25, in <module>
    plt.savefig("./matplotlib_capstyle_error.svg")
    ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "***\matplotlib\pyplot.py", line 1250, in savefig
    res = fig.savefig(*args, **kwargs)  # type: ignore[func-returns-value]
  File "***matplotlib\figure.py", line 3490, in savefig
    self.canvas.print_figure(fname, **kwargs)
    ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "***\matplotlib\backends\backend_qtagg.py", line 75, in print_figure
    super().print_figure(*args, **kwargs)
    ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "***\matplotlib\backend_bases.py", line 2193, in print_figure
    result = print_method(
        filename,
    ...<3 lines>...
        bbox_inches_restore=_bbox_inches_restore,
        **kwargs)
  File "***matplotlib\backend_bases.py", line 2049, in <lambda>
    print_method = functools.wraps(meth)(lambda *args, **kwargs: meth(
                                                                 ~~~~^
        *args, **{k: v for k, v in kwargs.items() if k not in skip}))
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "***s\matplotlib\backends\backend_svg.py", line 1351, in print_svg
    self.figure.draw(renderer)
    ~~~~~~~~~~~~~~~~^^^^^^^^^^
  File "***\matplotlib\artist.py", line 94, in draw_wrapper
    result = draw(artist, renderer, *args, **kwargs)
  File "***\matplotlib\artist.py", line 71, in draw_wrapper
    return draw(artist, renderer)
  File "***\matplotlib\figure.py", line 3257, in draw
    mimage._draw_list_compositing_images(
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        renderer, self, artists, self.suppressComposite)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "***\matplotlib\image.py", line 134, in _draw_list_compositing_images
    a.draw(renderer)
    ~~~~~~^^^^^^^^^^
  File "***\matplotlib\artist.py", line 71, in draw_wrapper
    return draw(artist, renderer)
  File "***s\matplotlib\axes\_base.py", line 3226, in draw
    mimage._draw_list_compositing_images(
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
        renderer, self, artists, self.get_figure(root=True).suppressComposite)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "***\matplotlib\image.py", line 134, in _draw_list_compositing_images
    a.draw(renderer)
    ~~~~~~^^^^^^^^^^
  File "***\matplotlib\artist.py", line 71, in draw_wrapper
    return draw(artist, renderer)
  File "***\matplotlib\collections.py", line 1008, in draw
    super().draw(renderer)
    ~~~~~~~~~~~~^^^^^^^^^^
  File "***\matplotlib\artist.py", line 71, in draw_wrapper
    return draw(artist, renderer)
  File "***\matplotlib\collections.py", line 415, in draw
    renderer.draw_markers(
    ~~~~~~~~~~~~~~~~~~~~~^
        gc, paths[0], combined_transform.frozen(),
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        mpath.Path(offsets), offset_trf, tuple(facecolors[0]))
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "***\matplotlib\backends\backend_svg.py", line 705, in draw_markers
    style = self._get_style_dict(gc, rgbFace)
  File "***\matplotlib\backends\backend_svg.py", line 597, in _get_style_dict
    if gc.get_capstyle() != 'butt':
       ~~~~~~~~~~~~~~~^^
  File "***\matplotlib\backend_bases.py", line 746, in get_capstyle
    return self._capstyle.name
           ^^^^^^^^^^^^^^^^^^^
AttributeError: 'str' object has no attribute 'name'

Expected behavior
The svg export should just work.

Python environment (please complete the following information):

• OS: Windows 11
• pandapipes version 0.12.0
• matplotlib 3.10.8

Possible solution
Update pandapipes\plotting\__init__.py. Import the CapStyle class from matplotlib and set self._capstyle = CapStyle('round') instead of setting it to the string 'round', which causes the error in matplotlib.

import types

from matplotlib.backend_bases import GraphicsContextBase, RendererBase
from matplotlib._enums import CapStyle

from pandapipes.plotting.collections import *
from pandapipes.plotting.generic_geodata import *
from pandapipes.plotting.geo import *
from pandapipes.plotting.pipeflow_results import *
from pandapipes.plotting.simple_plot import *
from pandapower.plotting.collections import add_collections_to_axes, add_cmap_to_collection, \
    add_single_collection


class GC(GraphicsContextBase):
    """

    """

    def __init__(self):
        super().__init__()
        self._capstyle = CapStyle('round')


def custom_new_gc(self):
    """

    :param self:
    :type self:
    :return:
    :rtype:
    """
    return GC()


RendererBase.new_gc = types.MethodType(custom_new_gc, RendererBase)

I have created a PR with this simple solution. But I wonder if it is a good design decision that the import of pandapipes changes any default settings for external packages. (In this case from the capstyle 'butt' to 'round'.)