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Description
I'm using matplotlib via the "new" data interface and with cartopy (all latest conda env with conda-forge and py3.5).
ax.scatter("lon", "lat", color="sum_prob", lw = 0, data=good_data, transform=ll_proj)
I get the following error message:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\colors.py in to_rgba(self, arg, alpha)
367 raise ValueError(
--> 368 'length of rgba sequence should be either 3 or 4')
369 else:
ValueError: length of rgba sequence should be either 3 or 4
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\colors.py in to_rgba_array(self, c, alpha)
398 # Single value? Put it in an array with a single row.
--> 399 return np.array([self.to_rgba(c, alpha)], dtype=np.float)
400 except ValueError:
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\colors.py in to_rgba(self, arg, alpha)
375 raise ValueError(
--> 376 'to_rgba: Invalid rgba arg "%s"\n%s' % (str(arg), exc))
377
ValueError: to_rgba: Invalid rgba arg "6574 0.000165
6674 0.000167
6774 0.000168
6873 0.000165
6874 0.000170
6973 0.000166
6974 0.000171
7073 0.000167
7074 0.000173
7172 0.000163
7173 0.000168
7174 0.000174
7272 0.000164
7273 0.000169
7274 0.000176
7372 0.000165
7373 0.000170
7374 0.000177
7472 0.000166
7473 0.000172
7474 0.000179
7571 0.000162
7572 0.000167
7573 0.000173
7574 0.000181
7671 0.000163
7672 0.000168
7673 0.000175
7674 0.000183
7771 0.000163
...
9670 0.000193
9671 0.000207
9672 0.000221
9673 0.000236
9765 0.000138
9766 0.000148
9767 0.000158
9768 0.000170
9769 0.000183
9770 0.000196
9771 0.000211
9772 0.000226
9864 0.000130
9865 0.000140
9866 0.000150
9867 0.000161
9868 0.000173
9869 0.000186
9870 0.000200
9871 0.000215
9872 0.000230
9964 0.000131
9965 0.000142
9966 0.000152
9967 0.000163
9968 0.000176
9969 0.000189
9970 0.000204
9971 0.000219
9972 0.000234
Name: sum_prob, dtype: float64"
length of rgba sequence should be either 3 or 4
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\colors.py in to_rgb(self, arg)
321 raise ValueError(
--> 322 'cannot convert argument to rgb sequence')
323
ValueError: cannot convert argument to rgb sequence
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\colors.py in to_rgba(self, arg, alpha)
369 else:
--> 370 r, g, b = self.to_rgb(arg)
371 if alpha is None:
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\colors.py in to_rgb(self, arg)
327 raise ValueError(
--> 328 'to_rgb: Invalid rgb arg "%s"\n%s' % (str(arg), exc))
329 # Error messages could be improved by handling TypeError
ValueError: to_rgb: Invalid rgb arg "0.000165462141918"
cannot convert argument to rgb sequence
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
<ipython-input-40-c01684ee4af6> in <module>()
22 #plt.show()
23
---> 24 ax.scatter("lon", "lat", color=good_data["sum_prob"], lw = 0, data=good_data, transform=ll_proj)
25 #ax.scatter("lon", "lat", color="sum_prob", lw = 0, data=best, transform=ll_proj)
C:\portabel\miniconda\envs\zalando\lib\site-packages\cartopy\mpl\geoaxes.py in scatter(self, *args, **kwargs)
1179 '(PlateCarree or RotatedPole).')
1180
-> 1181 result = matplotlib.axes.Axes.scatter(self, *args, **kwargs)
1182 self.autoscale_view()
1183 return result
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\__init__.py in inner(ax, *args, **kwargs)
1809 warnings.warn(msg % (label_namer, func.__name__),
1810 RuntimeWarning, stacklevel=2)
-> 1811 return func(ax, *args, **kwargs)
1812 pre_doc = inner.__doc__
1813 if pre_doc is None:
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\axes\_axes.py in scatter(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)
3891 offsets=offsets,
3892 transOffset=kwargs.pop('transform', self.transData),
-> 3893 alpha=alpha
3894 )
3895 collection.set_transform(mtransforms.IdentityTransform())
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\collections.py in __init__(self, paths, sizes, **kwargs)
829 """
830
--> 831 Collection.__init__(self, **kwargs)
832 self.set_paths(paths)
833 self.set_sizes(sizes)
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\collections.py in __init__(self, edgecolors, facecolors, linewidths, linestyles, antialiaseds, offsets, transOffset, norm, cmap, pickradius, hatch, urls, offset_position, zorder, **kwargs)
114 cm.ScalarMappable.__init__(self, norm, cmap)
115
--> 116 self.set_edgecolor(edgecolors)
117 self.set_facecolor(facecolors)
118 self.set_linewidth(linewidths)
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\collections.py in set_edgecolor(self, c)
658 c = mpl.rcParams['patch.edgecolor']
659 self._edgecolors_original = c
--> 660 self._edgecolors = mcolors.colorConverter.to_rgba_array(c, self._alpha)
661 self.stale = True
662
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\colors.py in to_rgba_array(self, c, alpha)
420 result = np.zeros((nc, 4), dtype=np.float)
421 for i, cc in enumerate(c):
--> 422 result[i] = self.to_rgba(cc, alpha)
423 return result
424
C:\portabel\miniconda\envs\zalando\lib\site-packages\matplotlib\colors.py in to_rgba(self, arg, alpha)
374 except (TypeError, ValueError) as exc:
375 raise ValueError(
--> 376 'to_rgba: Invalid rgba arg "%s"\n%s' % (str(arg), exc))
377
378 def to_rgba_array(self, c, alpha=None):
ValueError: to_rgba: Invalid rgba arg "0.000165462141918"
to_rgb: Invalid rgb arg "0.000165462141918"
cannot convert argument to rgb sequenceIMO the default (or at least the fallback) should simple take the float array, get min/max and then convert each value to a rgb value depending on the value in sum_prob.
[current mood: why did I start this notebook in python and tried to do this in pandas, cartopy and matplotlib? ggplot would have so much nice defaults... an hour gone to find a way to display a dataframe with x,y,z values on a image, where x,y are every lat-lon combi on a plot but contour/whatever needs it in a non-pandas.dataframe format... the above scatter is actually the workaround...]
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