Oldest compatible matplotlib version?

[mickaellalande]

I tried to upgrade ProPlot and install it with conda install -c conda-forge proplot recently and I'm facing to errors every time I'm trying to put a colorbar. Here is the example of the documentation (https://proplot.readthedocs.io/en/latest/colorbars_legends.html#Axes-colorbars-and-legends):

import proplot as plot
import numpy as np
with plot.rc.context(abc=True):
 f, axs = plot.subplots(ncols=2, share=0)

# Colorbars
ax = axs[0]
state = np.random.RandomState(51423)
m = ax.heatmap(state.rand(10, 10), colorbar='t', cmap='dusk')
ax.colorbar(m, loc='r')
ax.colorbar(m, loc='ll', label='colorbar label')
ax.format(title='Axes colorbars', suptitle='Axes colorbars and legends demo')

# Legends
ax = axs[1]
ax.format(title='Axes legends', titlepad='0em')
hs = ax.plot(
 (state.rand(10, 5) - 0.5).cumsum(axis=0), linewidth=3,
 cycle='sharp', legend='t',
 labels=list('abcde'), legend_kw={'ncols': 5, 'frame': False}
)
ax.legend(hs, loc='r', ncols=1, frame=False)
ax.legend(hs, loc='ll', label='legend label')
axs.format(xlabel='xlabel', ylabel='ylabel')

Here is the error:

---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-19-837a2de5d36a> in <module>
 7 ax = axs[0]
 8 state = np.random.RandomState(51423)
----> 9 m = ax.heatmap(state.rand(10, 10), colorbar='t', cmap='dusk')
 10 ax.colorbar(m, loc='r')
 11 ax.colorbar(m, loc='ll', label='colorbar label')

~/anaconda3/lib/python3.7/site-packages/proplot/axes.py in heatmap(self, *args, **kwargs)
 1208 that is suitable for heatmaps: no gridlines, no minor ticks, and major
 1209 ticks at the center of each grid box."""
-> 1210 obj = self.pcolormesh(*args, **kwargs)
 1211 xlocator, ylocator = None, None
 1212 if hasattr(obj, '_coordinates'):

~/anaconda3/lib/python3.7/site-packages/proplot/wrappers.py in _wrapper(self, *args, **kwargs)
 2960 @functools.wraps(func)
 2961 def _wrapper(self, *args, **kwargs):
-> 2962 return driver(self, func, *args, **kwargs)
 2963 name = func.__name__
 2964 if name not in proplot_methods:

~/anaconda3/lib/python3.7/site-packages/proplot/wrappers.py in standardize_2d(self, func, order, globe, *args, **kwargs)
 650 colorbar_kw = kwargs.pop('colorbar_kw', None) or {}
 651 colorbar_kw.setdefault('label', colorbar_label)
--> 652 return func(self, x, y, *Zs, colorbar_kw=colorbar_kw, **kwargs)
 653 
 654 

~/anaconda3/lib/python3.7/site-packages/proplot/wrappers.py in _wrapper(self, *args, **kwargs)
 2960 @functools.wraps(func)
 2961 def _wrapper(self, *args, **kwargs):
-> 2962 return driver(self, func, *args, **kwargs)
 2963 name = func.__name__
 2964 if name not in proplot_methods:

~/anaconda3/lib/python3.7/site-packages/proplot/wrappers.py in cmap_changer(self, func, cmap, cmap_kw, extend, norm, norm_kw, N, levels, values, centers, vmin, vmax, locator, symmetric, locator_kw, edgefix, labels, labels_kw, fmt, precision, colorbar, colorbar_kw, panel_kw, lw, linewidth, linewidths, ls, linestyle, linestyles, color, colors, edgecolor, edgecolors, *args, **kwargs)
 2128 if loc != 'fill':
 2129 colorbar_kw.setdefault('loc', loc)
-> 2130 self.colorbar(obj, **colorbar_kw)
 2131 return obj
 2132 

~/anaconda3/lib/python3.7/site-packages/proplot/axes.py in colorbar(self, loc, pad, length, width, space, frame, frameon, alpha, linewidth, edgecolor, facecolor, *args, **kwargs)
 944 # Generate panel
 945 if loc in ('left', 'right', 'top', 'bottom'):
--> 946 ax = self.panel_axes(loc, width=width, space=space, filled=True)
 947 return ax.colorbar(loc='_fill', *args, length=length, **kwargs)
 948 

~/anaconda3/lib/python3.7/site-packages/proplot/axes.py in panel_axes(self, side, **kwargs)
 1370 The panel axes.
 1371 """
-> 1372 return self.figure._add_axes_panel(self, side, **kwargs)
 1373 
 1374 @_standardize_1d

~/anaconda3/lib/python3.7/site-packages/proplot/utils.py in decorator(*args, **kwargs)
 61 if BENCHMARK:
 62 t = time.perf_counter()
---> 63 res = func(*args, **kwargs)
 64 if BENCHMARK:
 65 decorator.time += (time.perf_counter() - t)

~/anaconda3/lib/python3.7/site-packages/proplot/subplots.py in _add_axes_panel(self, ax, side, filled, **kwargs)
 858 gridspec_prev = self._gridspec_main
 859 gridspec = self._insert_row_column(
--> 860 side, iratio, width, space, space_orig, figure=False)
 861 if gridspec is not gridspec_prev:
 862 if s == 't':

~/anaconda3/lib/python3.7/site-packages/proplot/subplots.py in _insert_row_column(self, side, idx, ratio, space, space_orig, figure)
 1339 # May seem inefficient but it literally just assigns a hidden,
 1340 # attribute, and the creation time for subpltospecs is tiny
-> 1341 axs = [iax for ax in self._iter_axes()
 1342 for iax in (ax, *ax.child_axes)]
 1343 for ax in axs:

~/anaconda3/lib/python3.7/site-packages/proplot/subplots.py in <listcomp>(.0)
 1340 # attribute, and the creation time for subpltospecs is tiny
 1341 axs = [iax for ax in self._iter_axes()
-> 1342 for iax in (ax, *ax.child_axes)]
 1343 for ax in axs:
 1344 # Get old index

AttributeError: 'XYAxesSubplot' object has no attribute 'child_axes'

Here is the version of ProPlot:

# Name Version Build Channel
proplot 0.3.1 py_1 conda-forge

There were no problems in previous versions... This error is the same for any other plots I'm trying to do.

[lukelbd]

Weird... Axes.child_axes is a part of the public matplotlib API, don't know why it would be missing.

Could you first try upgrading both matplotlib and proplot with conda upgrade matplotlib proplot? Latest version of proplot is 0.4.3.

This is probably a local issue / dependency issue; the travis tests and the RTD build were successful.

(Note conda install doesn't upgrade to the latest version if it's already installed.)

[lukelbd]

FWIW tried this example after running conda install proplot=0.3.1 on my machine and it worked.

[mickaellalande]

Humm ok yes I guess it is a problem of my environment that I upgraded recently... I tried a new environment and it works fine (with both version of ProPlot 0.4.3 a,d 0.3.1 too). Maybe it is coming from matplotlib that have matplotlib-base 2.2.4 in my base environment (probably a conflict with other packages...?)

Test on new env:

matplotlib 3.1.1 py37h5429711_0 
matplotlib-base 3.1.1 py37hfd891ef_0 conda-forge

My base env:

matplotlib 3.1.1 py37h5429711_0 
matplotlib-base 2.2.4 py37hfd891ef_0 conda-forge

Anyway, I'll figure out, it must be a problem of my environment, not ProPlot :)

[lukelbd]

Ah, thought this might happen! This is related to conda-forge/proplot-feedstock#3.

ProPlot has switched the depencencies from matplotlib-base (only available on the conda-forge channel) to matplotlib (available both on the conda-forge and default channels, and what I expect most people already have installed). I made this change precisely because for most users, the matplotlib-base dependency results in dual installations of matplotlib (as you have), and for some reason often results in conda downloading a really old matplotlib-base.

But either way, version 2.X should not have been installed. I need to precisely figure out the oldest compatible version of matplotlib (i.e. the dependencies should be something like matplotlib>=3.0.0 or matplotlib-base>=3.0.0 instead of just matplotlib and matplotlib-base) and update the existing conda forge builds. Will leave this open until I get around to it

[mickaellalande]

Ah, thought this might happen! This is related to conda-forge/proplot-feedstock#3.

I am actually a bit lost between conda and conda-forge... I went to read this page: https://conda-forge.org/docs/user/tipsandtricks.html#multiple-channels, do you advise to have as they recommend at the end:

$ cat .condarc
channel_priority: strict
channels:
 - conda-forge
 - defaults

or stay with the default behavior of Anaconda/Miniconda (unless we have any issue...)?

[lukelbd]

In the past I avoided this because having to search the conda-forge channel does slow things down compared to defaults, but since they've made some performance improvements I decided to do this. Also I like that conda forge is the open source answer to CA's default channel formulas, and that they have so many packages available.

[lukelbd]

Ok... I've been doing some testing with different matplotlib versions/conda environments and while recent proplot versions have had issues with matplotlib < 3.2.0, the next proplot release should be backwards compatible to 3.0.0 (see d192811).

In #310 I'll have a couple build matrices for new and old versions to prevent making backwards-incompatible changes, and in general from here on out the miminimum/maximum compatible matplotlib versions will be more clear.