________________________ 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
Recent changes in
matplotlib(my guess is matplotlib/matplotlib#17830) seem to have broken a few of our tests:tracebacks