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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