[Matplotlib-devel] upgrade from 2.2.2 to 3.0

Thomas Caswell tcaswell at gmail.com
Mon Oct 29 09:45:26 EDT 2018


Can you please report that as an issue on github?

Tom

On Mon, Oct 29, 2018 at 2:20 AM Srinivasa Rao <srinivasrao.poladi at gmail.com>
wrote:

> Hi Tom,
>
> Yes, I have tried 3.0.1. While it has solved my old problems, it has
> introduced a new problem, which was not there with 3.0.0!
>
> Giving below the code followed by error log:
>
> Inserting the image of expected output that comes when we run the same code
> with 3.0.0 or earlier version
> <http://matplotlib.1069221.n5.nabble.com/file/t5188/output300.png> :
>
> ----------------------------------------------------------
> from mpl_toolkits.axes_grid1 import host_subplot
> import mpl_toolkits.axisartist as AA
> import matplotlib.pyplot as plt
>
> plt.figure()
> ax1 = host_subplot(111, axes_class=AA.Axes)
>
> ax1.axis["top"].toggle(all=False)           # switch off ticks and tick
> labels for the top axis
>
> ax2 = ax1.twinx()
> ax3 = ax1.twinx()
>
> new_fixed_axis = ax3.get_grid_helper().new_fixed_axis
> ax3.axis["right"] = new_fixed_axis(loc="right",
>                                     axes=ax3,
>                                     offset=(60, 0))
>
> ax2.axis["right"].toggle(all=True)
> ax3.axis["right"].toggle(all=True)
>
> ax1.set_xlabel('Defect Reason Codes')
> ax1.set_ylabel('Number of Defects')
> ax2.set_ylabel('Cumulative Defects as %')
> ax3.set_ylabel('Cumulative Defects Count')
>
> x = [0, 1, 2, 3, 4, 5]
> y = [19, 12, 6, 4, 3, 2]
> y1 = [41, 67, 80, 89, 96, 100]
> y2 = [19, 31, 37, 41, 44, 46]
>
> b = ax1.bar(x, y, label='Number of Defects')
> l, = ax2.plot(x, y1, lw=5, label='Cumulative Defects as %', color='b')
> l1, = ax3.plot(x, y2, lw=5, label='Cumulative Defects Count', color='g')
>
> ax3.set_ylim(15, 50)
>
> ax1.legend(loc=5)
> ax1.set_title('Product Defects - August 2018')
>
> ax1.axis["left"].label.set_color(b.patches[0].get_facecolor())
> ax2.axis["right"].label.set_color(l.get_color())
> ax3.axis["right"].label.set_color(l1.get_color())
>
> ax1.axis["left"].major_ticks.set_color(b.patches[0].get_facecolor())
> ax2.axis["right"].major_ticks.set_color(l.get_color())
> ax3.axis["right"].major_ticks.set_color(l1.get_color())
>
> ax1.axis["left"].major_ticklabels.set_color(b.patches[0].get_facecolor())
> ax2.axis["right"].major_ticklabels.set_color(l.get_color())
> ax3.axis["right"].major_ticklabels.set_color(l1.get_color())
>
> # setting the color for axis itself is not working in AA
> ax2.spines["right"].set_color(l.get_color())
> ax3.spines["right"].set_color(l1.get_color())
>
> ax1.axis[:].major_ticks.set_tick_out(True)
> ax2.axis[:].major_ticks.set_tick_out(True)
> ax3.axis[:].major_ticks.set_tick_out(True)
>
> plt.show()
> --------------
> Error Log
> ---------------------------------------------------------------------------
> TypeError                                 Traceback (most recent call last)
> C:\Anaconda3\envs\dloct2018\lib\site-packages\IPython\core\formatters.py in
> __call__(self, obj)
>     339                 pass
>     340             else:
> --> 341                 return printer(obj)
>     342             # Finally look for special method names
>     343             method = get_real_method(obj, self.print_method)
>
> C:\Anaconda3\envs\dloct2018\lib\site-packages\IPython\core\pylabtools.py in
> <lambda>(fig)
>     242
>     243     if 'png' in formats:
> --> 244         png_formatter.for_type(Figure, lambda fig:
> print_figure(fig,
> 'png', **kwargs))
>     245     if 'retina' in formats or 'png2x' in formats:
>     246         png_formatter.for_type(Figure, lambda fig:
> retina_figure(fig, **kwargs))
>
> C:\Anaconda3\envs\dloct2018\lib\site-packages\IPython\core\pylabtools.py in
> print_figure(fig, fmt, bbox_inches, **kwargs)
>     126
>     127     bytes_io = BytesIO()
> --> 128     fig.canvas.print_figure(bytes_io, **kw)
>     129     data = bytes_io.getvalue()
>     130     if fmt == 'svg':
>
> C:\Anaconda3\envs\dloct2018\lib\site-packages\matplotlib\backend_bases.py
> in
> print_figure(self, filename, dpi, facecolor, edgecolor, orientation,
> format,
> bbox_inches, **kwargs)
>    2051                     bbox_artists = kwargs.pop("bbox_extra_artists",
> None)
>    2052                     bbox_inches =
> self.figure.get_tightbbox(renderer,
> -> 2053                             bbox_extra_artists=bbox_artists)
>    2054                     pad = kwargs.pop("pad_inches", None)
>    2055                     if pad is None:
>
> C:\Anaconda3\envs\dloct2018\lib\site-packages\matplotlib\figure.py in
> get_tightbbox(self, renderer, bbox_extra_artists)
>    2274         bb.extend(
>    2275             ax.get_tightbbox(renderer,
> bbox_extra_artists=bbox_extra_artists)
> -> 2276             for ax in self.axes if ax.get_visible())
>    2277
>    2278         if len(bb) == 0:
>
> C:\Anaconda3\envs\dloct2018\lib\site-packages\matplotlib\figure.py in
> <genexpr>(.0)
>    2274         bb.extend(
>    2275             ax.get_tightbbox(renderer,
> bbox_extra_artists=bbox_extra_artists)
> -> 2276             for ax in self.axes if ax.get_visible())
>    2277
>    2278         if len(bb) == 0:
>
> TypeError: get_tightbbox() got an unexpected keyword argument
> 'bbox_extra_artists'
>
> <Figure size 432x288 with 1 Axes>
>
>
>
>
> --
> Sent from:
> http://matplotlib.1069221.n5.nabble.com/matplotlib-devel-f28077.html
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>


-- 
Thomas Caswell
tcaswell at gmail.com
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