vba_choropleth --> ValueError: Invalid RGBA argument:

[LeonardAukea]

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• Platform information:

posix darwin
posix.uname_result(sysname='Darwin', nodename='C02X4G43JG5J', release='19.2.0', version='Darwin Kernel Version 19.2.0: Sat Nov  9 03:47:04 PST 2019; root:xnu-6153.61.1~20/RELEASE_X86_64', machine='x86_64')

• Python version:

3.7.5 (default, Oct 25 2019, 10:52:18) 
[Clang 4.0.1 (tags/RELEASE_401/final)]

• SciPy version:

1.4.1

• NumPy version:

1.18.1

I tired to use vba_choropleth but was hitting this error over and over again. After failing with my own example. I decided to try with the provided ones and all of them fail similarly.

I tried with the 3 latest reeleases splot viva pip and also conda...

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-232-bf084e6bea13> in <module>
      7 link_to_data = examples.get_path('columbus.shp')
      8 gdf = gpd.read_file(link_to_data)
----> 9 fig, _ = vba_choropleth('HOVAL', 'CRIME', gdf)
     10 plt.show()

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/splot/_viz_value_by_alpha_mpl.py in vba_choropleth(x_var, y_var, gdf, cmap, divergent, revert_alpha, alpha_mapclassify, rgb_mapclassify, ax, legend)
    285                                          divergent=divergent,
    286                                          revert_alpha=revert_alpha)
--> 287     gdf.plot(color=rgba, ax=ax)
    288     ax.set_axis_off()
    289     ax.set_aspect('equal')

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/geopandas/geodataframe.py in plot(self, *args, **kwargs)
    604         from there.
    605         """
--> 606         return plot_dataframe(self, *args, **kwargs)
    607 
    608     plot.__doc__ = plot_dataframe.__doc__

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/geopandas/plotting.py in plot_dataframe(df, column, cmap, color, ax, cax, categorical, legend, scheme, k, vmin, vmax, markersize, figsize, legend_kwds, classification_kwds, **style_kwds)
    500             figsize=figsize,
    501             markersize=markersize,
--> 502             **style_kwds
    503         )
    504 

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/geopandas/plotting.py in plot_series(s, cmap, color, ax, figsize, **style_kwds)
    339         values_ = values[poly_idx] if cmap else None
    340         plot_polygon_collection(
--> 341             ax, polys, values_, facecolor=facecolor, cmap=cmap, **style_kwds
    342         )
    343 

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/geopandas/plotting.py in plot_polygon_collection(ax, geoms, values, color, cmap, vmin, vmax, **kwargs)
    111                     kwargs[att] = np.take(kwargs[att], multiindex)
    112 
--> 113     collection = PatchCollection([PolygonPatch(poly) for poly in geoms], **kwargs)
    114 
    115     if values is not None:

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/matplotlib/collections.py in __init__(self, patches, match_original, **kwargs)
   1803             kwargs['antialiaseds'] = [p.get_antialiased() for p in patches]
   1804 
-> 1805         Collection.__init__(self, **kwargs)
   1806 
   1807         self.set_paths(patches)

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/matplotlib/collections.py in __init__(self, edgecolors, facecolors, linewidths, linestyles, capstyle, joinstyle, antialiaseds, offsets, transOffset, norm, cmap, pickradius, hatch, urls, offset_position, zorder, **kwargs)
    160 
    161         self._path_effects = None
--> 162         self.update(kwargs)
    163         self._paths = None
    164 

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/matplotlib/artist.py in update(self, props)
    972 
    973         with cbook._setattr_cm(self, eventson=False):
--> 974             ret = [_update_property(self, k, v) for k, v in props.items()]
    975 
    976         if len(ret):

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/matplotlib/artist.py in <listcomp>(.0)
    972 
    973         with cbook._setattr_cm(self, eventson=False):
--> 974             ret = [_update_property(self, k, v) for k, v in props.items()]
    975 
    976         if len(ret):

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/matplotlib/artist.py in _update_property(self, k, v)
    969                     raise AttributeError('{!r} object has no property {!r}'
    970                                          .format(type(self).__name__, k))
--> 971                 return func(v)
    972 
    973         with cbook._setattr_cm(self, eventson=False):

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/matplotlib/collections.py in set_facecolor(self, c)
    676         """
    677         self._original_facecolor = c
--> 678         self._set_facecolor(c)
    679 
    680     def get_facecolor(self):

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/matplotlib/collections.py in _set_facecolor(self, c)
    659         except AttributeError:
    660             pass
--> 661         self._facecolors = mcolors.to_rgba_array(c, self._alpha)
    662         self.stale = True
    663 

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/matplotlib/colors.py in to_rgba_array(c, alpha)
    292     result = np.empty((len(c), 4), float)
    293     for i, cc in enumerate(c):
--> 294         result[i] = to_rgba(cc, alpha)
    295     return result
    296 

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/matplotlib/colors.py in to_rgba(c, alpha)
    175         rgba = None
    176     if rgba is None:  # Suppress exception chaining of cache lookup failure.
--> 177         rgba = _to_rgba_no_colorcycle(c, alpha)
    178         try:
    179             _colors_full_map.cache[c, alpha] = rgba

/usr/local/Caskroom/miniconda/base/lib/python3.7/site-packages/matplotlib/colors.py in _to_rgba_no_colorcycle(c, alpha)
    238         # float)` and `np.array(...).astype(float)` all convert "0.5" to 0.5.
    239         # Test dimensionality to reject single floats.
--> 240         raise ValueError("Invalid RGBA argument: {!r}".format(orig_c))
    241     # Return a tuple to prevent the cached value from being modified.
    242     c = tuple(c.astype(float))

ValueError: Invalid RGBA argument: 0.11372549019607844

Any ideas what is going on here? Is the color array of the right shape?

Thank you in advance!

[LeonardAukea]

Is this project still in development?

[ljwolf]

Hey, yes, thanks for the report. @slumnitz, the main maintainer of the package, has been away for some time on other business. The source issue to this is a change in Geopandas that affects how we're interacting with its geodataframe.plot() function. If I recall correctly, it's geopandas/geopandas#1178, which we need to fix here.

We'll try to address this in a bugfix release shortly.

[ljwolf]

Alternatively, what is your geopandas version?

[LeonardAukea]

@ljwolf Thanks for reply I'm using version 0.6.1. It can wait for now. If I find time, I'll my try to help you out as well.

[ljwolf]

Thanks for understanding. Bivariate choropleths and value by alphas are really useful. However, this has been fixed.

Please upgrade to geopandas >= 0.6.2 for the fix.

#83

[slumnitz]

@LeonardAukea are you still running into issues here with geopandas v 0.6.2?

[LeonardAukea]

@slumnitz I will upgrade and try it out. I'll keep you posted

[sjsrey]

Tests are passing locally on geopandas 0.7.0. @LeonardAukea have you had a chance to test on 0.6.2?

[slumnitz]

Closing due to inactivity