issues: 657230088
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| 657230088 | MDU6SXNzdWU2NTcyMzAwODg= | 4226 | failing upstream-dev CI: matplotlib | 14808389 | closed | 0 | 1 | 2020-07-15T10:08:04Z | 2021-03-07T13:31:37Z | 2021-03-07T13:31:37Z | MEMBER | Recent changes in tracebacks``` ________________________ TestContour.test_single_level _________________________ self = <xarray.tests.test_plot.TestContour object at 0x7fc60f7c3e20> # add_colorbar defaults to false > self.plotmethod(levels=[0.1]) xarray/tests/test_plot.py:1561: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ xarray/plot/plot.py:827: in plotmethod return newplotfunc(**allargs) xarray/plot/plot.py:699: in newplotfunc cmap_params, cbar_kwargs = _process_cmap_cbar_kwargs( xarray/plot/utils.py:819: in _process_cmap_cbar_kwargs cmap_params = _determine_cmap_params(**cmap_kwargs) xarray/plot/utils.py:291: in _determine_cmap_params cmap, newnorm = _build_discrete_cmap(cmap, levels, extend, filled) xarray/plot/utils.py:77: in _build_discrete_cmap new_cmap, cnorm = mpl.colors.from_levels_and_colors(levels, pal, extend=extend) /usr/share/miniconda/envs/xarray-tests/lib/python3.8/site-packages/matplotlib/colors.py:2200: in from_levels_and_colors norm = BoundaryNorm(levels, ncolors=n_data_colors) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <matplotlib.colors.BoundaryNorm object at 0x7fc60f5048e0> boundaries = [0.1], ncolors = 0, clip = False def __init__(self, boundaries, ncolors, clip=False, *, extend='neither'): """ Parameters ---------- boundaries : array-like Monotonically increasing sequence of at least 2 boundaries. ncolors : int Number of colors in the colormap to be used. clip : bool, optional """ if clip and extend != 'neither': raise ValueError("'clip=True' is not compatible with 'extend'") self.clip = clip self.vmin = boundaries[0] self.vmax = boundaries[-1] self.boundaries = np.asarray(boundaries) self.N = len(self.boundaries) if self.N < 2: > raise ValueError("You must provide at least 2 boundaries " f"(1 region) but you passed in {boundaries!r}") E ValueError: You must provide at least 2 boundaries (1 region) but you passed in [0.1] /usr/share/miniconda/envs/xarray-tests/lib/python3.8/site-packages/matplotlib/colors.py:1508: ValueError ________________________ test_facetgrid_single_contour _________________________ @requires_matplotlib def test_facetgrid_single_contour(): @requires_matplotlib def test_facetgrid_single_contour(): # regression test for GH3569 x, y = np.meshgrid(np.arange(12), np.arange(12)) z = xr.DataArray(np.sqrt(x ** 2 + y ** 2)) z2 = xr.DataArray(np.sqrt(x ** 2 + y ** 2) + 1) ds = xr.concat([z, z2], dim="time") ds["time"] = [0, 1] > ds.plot.contour(col="time", levels=[4], colors=["k"]) xarray/tests/test_plot.py:2409: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ xarray/plot/plot.py:827: in plotmethod return newplotfunc(**allargs) xarray/plot/plot.py:638: in newplotfunc return _easy_facetgrid(darray, kind="dataarray", **allargs) xarray/plot/facetgrid.py:644: in _easy_facetgrid return g.map_dataarray(plotfunc, x, y, **kwargs) xarray/plot/facetgrid.py:248: in map_dataarray cmap_params, cbar_kwargs = _process_cmap_cbar_kwargs( xarray/plot/utils.py:819: in _process_cmap_cbar_kwargs cmap_params = _determine_cmap_params(**cmap_kwargs) xarray/plot/utils.py:291: in _determine_cmap_params cmap, newnorm = _build_discrete_cmap(cmap, levels, extend, filled) xarray/plot/utils.py:77: in _build_discrete_cmap new_cmap, cnorm = mpl.colors.from_levels_and_colors(levels, pal, extend=extend) /usr/share/miniconda/envs/xarray-tests/lib/python3.8/site-packages/matplotlib/colors.py:2200: in from_levels_and_colors norm = BoundaryNorm(levels, ncolors=n_data_colors) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <matplotlib.colors.BoundaryNorm object at 0x7fc60d47b280> boundaries = [4], ncolors = 0, clip = False def __init__(self, boundaries, ncolors, clip=False, *, extend='neither'): """ Parameters ---------- boundaries : array-like Monotonically increasing sequence of at least 2 boundaries. ncolors : int Number of colors in the colormap to be used. clip : bool, optional If clip is ``True``, out of range values are mapped to 0 if they are below ``boundaries[0]`` or mapped to ``ncolors - 1`` if they are above ``boundaries[-1]``. If clip is ``False``, out of range values are mapped to -1 if they are below ``boundaries[0]`` or mapped to *ncolors* if they are above ``boundaries[-1]``. These are then converted to valid indices by `Colormap.__call__`. extend : {'neither', 'both', 'min', 'max'}, default: 'neither' Extend the number of bins to include one or both of the regions beyond the boundaries. For example, if ``extend`` is 'min', then the color to which the region between the first pair of boundaries is mapped will be distinct from the first color in the colormap, and by default a `~matplotlib.colorbar.Colorbar` will be drawn with the triangle extension on the left or lower end. Returns ------- int16 scalar or array Notes ----- *boundaries* defines the edges of bins, and data falling within a bin is mapped to the color with the same index. If the number of bins, including any extensions, is less than *ncolors*, the color index is chosen by linear interpolation, mapping the ``[0, nbins - 1]`` range onto the ``[0, ncolors - 1]`` range. """ if clip and extend != 'neither': raise ValueError("'clip=True' is not compatible with 'extend'") self.clip = clip self.vmin = boundaries[0] self.vmax = boundaries[-1] self.boundaries = np.asarray(boundaries) self.N = len(self.boundaries) if self.N < 2: > raise ValueError("You must provide at least 2 boundaries " f"(1 region) but you passed in {boundaries!r}") E ValueError: You must provide at least 2 boundaries (1 region) but you passed in [4] /usr/share/miniconda/envs/xarray-tests/lib/python3.8/site-packages/matplotlib/colors.py:1508: ValueError ``` |
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completed | 13221727 | issue |