I have an issue while doing a contourf with proplot (advanced Matplotlib in a certain way). I have attached an example of proplot documentation (cells 3 and 4) which is not working neither where I am getting the same error at the end.
Create data
import xarray as xr
import numpy as np
import pandas as pd
# DataArray
state = np.random.RandomState(51423)
linspace = np.linspace(0, np.pi, 20)
data = 50 * state.normal(1, 0.2, size=(20, 20)) * (
np.sin(linspace * 2) ** 2
* np.cos(linspace np.pi / 2)[:, None] ** 2
)
lat = xr.DataArray(
np.linspace(-90, 90, 20),
dims=('lat',),
attrs={'units': '\N{DEGREE SIGN}N'}
)
plev = xr.DataArray(
np.linspace(1000, 0, 20),
dims=('plev',),
attrs={'long_name': 'pressure', 'units': 'hPa'}
)
da = xr.DataArray(
data,
name='u',
dims=('plev', 'lat'),
coords={'plev': plev, 'lat': lat},
attrs={'long_name': 'zonal wind', 'units': 'm/s'}
)
# DataFrame
data = state.rand(12, 20)
df = pd.DataFrame(
(data - 0.4).cumsum(axis=0).cumsum(axis=1)[::1, ::-1],
index=pd.date_range('2000-01', '2000-12', freq='MS')
)
df.name = 'temperature (\N{DEGREE SIGN}C)'
df.index.name = 'date'
df.columns.name = 'variable (units)'
Trying to plot the data
fig = pp.figure(refwidth=2.5, share=False, suptitle='Automatic subplot formatting')
# Plot DataArray
cmap = pp.Colormap('PuBu', left=0.05)
ax = fig.subplot(121, yreverse=True)
ax.contourf(da, cmap=cmap, colorbar='t', lw=0.7, ec='k')
# Plot DataFrame
ax = fig.subplot(122, yreverse=True)
ax.contourf(df, cmap='YlOrRd', colorbar='t', lw=0.7, ec='k')
ax.format(xtickminor=False, yformatter='%b', ytickminor=False)
Returned error
AttributeError Traceback (most recent call last)
Input In [780], in <module>
4 cmap = pp.Colormap('PuBu', left=0.05)
5 ax = fig.subplot(121, yreverse=True)
----> 6 ax.contourf(da, cmap=cmap, colorbar='t', lw=0.7, ec='k')
8 # Plot DataFrame
9 ax = fig.subplot(122, yreverse=True)
File /opt/anaconda3/envs/argopy-tests/lib/python3.8/site-packages/proplot/internals/process.py:284, in _preprocess_args.<locals>.decorator.<locals>._redirect_or_standardize(self, *args, **kwargs)
281 ureg.setup_matplotlib(True)
283 # Call main function
--> 284 return func(self, *args, **kwargs)
File /opt/anaconda3/envs/argopy-tests/lib/python3.8/site-packages/proplot/axes/plot.py:3861, in PlotAxes.contourf(self, x, y, z, **kwargs)
3859 x, y, z, kw = self._parse_plot2d(x, y, z, **kwargs)
3860 kw.update(_pop_props(kw, 'collection'))
-> 3861 kw = self._parse_cmap(x, y, z, plot_contours=True, **kw)
3862 contour_kw = _pop_kwargs(kw, 'edgecolors', 'linewidths', 'linestyles')
3863 edgefix_kw = _pop_params(kw, self._apply_edgefix)
File /opt/anaconda3/envs/argopy-tests/lib/python3.8/site-packages/proplot/internals/warnings.py:96, in _rename_kwargs.<locals>.decorator.<locals>._deprecate_kwargs(*args, **kwargs)
91 key_new = key_new.format(value)
92 _warn_proplot(
93 f'Keyword {key_old!r} was deprecated in version {version} and will '
94 f'be removed in a future release. Please use {key_new!r} instead.'
95 )
---> 96 return func_orig(*args, **kwargs)
File /opt/anaconda3/envs/argopy-tests/lib/python3.8/site-packages/proplot/axes/plot.py:2703, in PlotAxes._parse_cmap(self, cmap, cmap_kw, c, color, colors, default_cmap, norm, norm_kw, extend, vmin, vmax, discrete, default_discrete, skip_autolev, plot_lines, plot_contours, min_levels, *args, **kwargs)
2700 # Create the discrete normalizer
2701 # Then finally warn and remove unused args
2702 if levels is not None:
-> 2703 norm, cmap, kwargs = self._parse_discrete(
2704 levels, norm, cmap, extend=extend, min_levels=min_levels, **kwargs
2705 )
2706 methods = (self._parse_levels, self._parse_autolev, self._parse_vlim)
2707 params = _pop_params(kwargs, *methods, ignore_internal=True)
File /opt/anaconda3/envs/argopy-tests/lib/python3.8/site-packages/proplot/axes/plot.py:2529, in PlotAxes._parse_discrete(self, levels, norm, cmap, extend, min_levels, **kwargs)
2526 # Generate DiscreteNorm and update "child" norm with vmin and vmax from
2527 # levels. This lets the colorbar set tick locations properly!
2528 if not isinstance(norm, mcolors.BoundaryNorm) and len(levels) > 1:
-> 2529 norm = pcolors.DiscreteNorm(levels, norm=norm, unique=unique, step=step)
2531 return norm, cmap, kwargs
File /opt/anaconda3/envs/argopy-tests/lib/python3.8/site-packages/proplot/internals/warnings.py:96, in _rename_kwargs.<locals>.decorator.<locals>._deprecate_kwargs(*args, **kwargs)
91 key_new = key_new.format(value)
92 _warn_proplot(
93 f'Keyword {key_old!r} was deprecated in version {version} and will '
94 f'be removed in a future release. Please use {key_new!r} instead.'
95 )
---> 96 return func_orig(*args, **kwargs)
File /opt/anaconda3/envs/argopy-tests/lib/python3.8/site-packages/proplot/colors.py:2459, in DiscreteNorm.__init__(self, levels, norm, unique, step, clip)
2457 self._dest = dest
2458 self._norm = norm
-> 2459 self.vmin = vmin
2460 self.vmax = vmax
2461 self.boundaries = levels
File /opt/anaconda3/envs/argopy-tests/lib/python3.8/site-packages/matplotlib/colors.py:1148, in Normalize.vmin(self, value)
1145 @vmin.setter
1146 def vmin(self, value):
1147 value = _sanitize_extrema(value)
-> 1148 if value != self._vmin:
1149 self._vmin = value
1150 self._changed()
AttributeError: 'DiscreteNorm' object has no attribute '_vmin'
Is it my environment ? I don't really know. If you try the same thing from your home it must work. I may have to go into more detail in the proplot source code. I hope someone has an idea before.
CodePudding user response：
There was something wrong between libraries (proplot installed quickly with !pip install proplot), I think between Matplotlib and Proplot.
I double checked creating new environment with conda and the error disappeared. Anyway, better to pass by conda to build the environment than using pip which can bring some discrepancies with previous loaded libraries.