Plotting only m=0 for axial_waveguide spectrum produces an error

The error is related to the color scaling.

/Users/lkoerber/Documents/programming/tetrax/tetrax/_plotting/plotly.py:312: RuntimeWarning:

invalid value encountered in scalar divide

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[8], line 1
----> 1 spectrum.plot(m=0,n=0)

File ~/Documents/programming/tetrax/tetrax/experiments/eigen/result.py:456, in EigenResult.plot(self, *args, **kwargs)
    454 def plot(self: Self, *args, **kwargs) -> None:
    455     """Wrapper for :func:`plot_frequencies`."""  # noqa: D401
--> 456     self.plot_frequencies(*args, **kwargs)

File ~/Documents/programming/tetrax/tetrax/experiments/eigen/result.py:512, in EigenResult.plot_frequencies(self, n, k, m, style, fscale, kscale)
    507 k = rescale_plotting_k(k, kscale.factor)
    509 reduced_data = _reduced_dataframe(
    510     self, FREQUENCY_COLUMN_PATTERN, n, k, m, include_km=True
    511 )
--> 512 plotly_plot_spectral_data(
    513     reduced_data,
    514     self.result_info.sample_snapshot.geometry_type,
    515     style,
    516     fscale,
    517     kscale,
    518 )

File ~/Documents/programming/tetrax/tetrax/_plotting/plotly.py:312, in plotly_plot_spectral_data(dataframe_with_km, geometry_type, style, fscale, kscale)
    306 df_m = dataframe_with_km[
    307     dataframe_with_km[AZIMUTHAl_INDEX_COLUMN_NAME] == m
    308 ]
    310 k = df_m[WAVEVECTOR_COLUMN_NAME]
--> 312 linecolor = px.colors.sample_colorscale(cmap, abs(m) / m_max_abs * 0.9)[0]
    313 linestyle = (
    314     {"dash": "dash", "color": linecolor} if m < 0 else {"color": linecolor}
    315 )
    317 for header in frequency_headers:

File ~/miniconda3/lib/python3.12/site-packages/_plotly_utils/colors/__init__.py:885, in sample_colorscale(colorscale, samplepoints, low, high, colortype)
    883     sampled_color = find_intermediate_color(colors[low], colors[high], interpolant)
    884     sampled_colors.append(sampled_color)
--> 885 return validate_colors(sampled_colors, colortype=colortype)

File ~/miniconda3/lib/python3.12/site-packages/_plotly_utils/colors/__init__.py:369, in validate_colors(colors, colortype)
    367 if colortype == "rgb" and not isinstance(colors, str):
    368     for j, each_color in enumerate(colors):
--> 369         rgb_color = color_parser(each_color, convert_to_RGB_255)
    370         colors[j] = color_parser(rgb_color, label_rgb)
    372 return colors

File ~/miniconda3/lib/python3.12/site-packages/_plotly_utils/colors/__init__.py:296, in color_parser(colors, function)
    293     return function(colors)
    295 if isinstance(colors, tuple) and isinstance(colors[0], Number):
--> 296     return function(colors)
    298 if hasattr(colors, "__iter__"):
    299     if isinstance(colors, tuple):

File ~/miniconda3/lib/python3.12/site-packages/_plotly_utils/colors/__init__.py:667, in convert_to_RGB_255(colors)
    663     rounded_num = decimal.Decimal(str(component * 255.0)).quantize(
    664         decimal.Decimal("1"), rounding=decimal.ROUND_HALF_EVEN
    665     )
    666     # convert rounded number to an integer from 'Decimal' form
--> 667     rounded_num = int(rounded_num)
    668     rgb_components.append(rounded_num)
    670 return (rgb_components[0], rgb_components[1], rgb_components[2])

ValueError: cannot convert NaN to integer