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Wrong Error Message #11919

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@davidleejy

Description

@davidleejy
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Bug report

Affects: commit 7b5ff33 (master, 23 Aug 2018)

An attempt to plot a single point at coords (2,3) with RGB color (120,130,140) throws an error message remarking about argument shapes mismatching. Message should be about RGB values outside range 0 to 1.

Code for reproduction

ax.scatter(np.array([2]), np.array([3]), c=np.array([[120,130,140]]))
ValueError: c of shape (1, 3) not acceptable as a color sequence for x with size 1, y with size 1

This is ok:

ax.scatter(np.array([2]), np.array([3]), c=np.array([[120,130,140]]) / 255.0 )

Actual outcome

See above.

Expected outcome

Suggestion: error message could be about RGB values outside of 0 to 1 range.

Trace

  File "/home/d/code/matplotlib/lib/matplotlib/axes/_axes.py", line 4223, in scatter
    .format(nc=n_elem, xs=x.size, ys=y.size)
ValueError: 'c' argument has 3 elements, which is not acceptable for use with 'x' with size 1, 'y' with size 1.

python 2 gives slightly different trace:

/home/d/.conda/envs/py2_dp/lib/python2.7/site-packages/matplotlib-2.2.2-py2.7-linux-x86_64.egg/matplotlib/axes/_axes.pyc in scatter(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)
   4277                 raise ValueError("c of shape {} not acceptable as a color "
   4278                                  "sequence for x with size {}, y with size {}"
-> 4279                                  .format(c.shape, x.size, y.size))
   4280         else:
   4281             colors = None  # use cmap, norm after collection is created

ValueError: c of shape (1, 3) not acceptable as a color sequence for x with size 1, y with size 1

Matplotlib version

  • Operating system: Ubuntu 16.04
  • Matplotlib version: commit 7b5ff33 (master, 23 Aug 2018)
  • Matplotlib backend (print(matplotlib.get_backend())): <object object at 0x7f8885d87190>
  • Python version: 3.5.5
  • Jupyter version (if applicable): none
  • Other libraries: numpy

How I installed matplotlib:

  1. Create new conda env with python 3.5.5
  2. git clone matplotlib master
  3. pip install -e /path/to/cloned-repo
akilat90

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