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QInfer / python-qinfer

Library for Bayesian inference via sequential Monte Carlo for quantum parameter estimation.
BSD 3-Clause "New" or "Revised" License
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Issues plotting covariance estimation_results['posterior'].plot_covariance() #145

Open mcurmei627 opened 6 years ago

mcurmei627 commented 6 years ago

When trying to plot covariance I ran into the following issue

~\AppData\Local\Continuum\Anaconda3\envs\qsharp-samples\lib\site-packages\qinfer\smc.py in plot_covariance(self, corr, param_slice, tick_labels, tick_params)
   1159         cov = self.est_covariance_mtx(corr=corr)[param_slice, param_slice]
   1160 
-> 1161         retval = mpls.hinton(cov)
   1162         plt.xticks(*tick_labels, **(tick_params if tick_params is not None else {}))
   1163         plt.yticks(*tick_labels, **(tick_params if tick_params is not None else {}))

~\AppData\Local\Continuum\Anaconda3\envs\qsharp-samples\lib\site-packages\mpltools\special\hinton.py in hinton(inarray, max_value, use_default_ticks)
     54 
     55     ax = plt.gca()
---> 56     ax.set_axis_bgcolor('gray')
     57     # make sure we're working with a numpy array, not a numpy matrix
     58     inarray = np.asarray(inarray)

AttributeError: 'AxesSubplot' object has no attribute 'set_axis_bgcolor'

https://github.com/QInfer/python-qinfer/blob/e90cc57d50f1b48148dbd0c671eff6246dda6c31/src/qinfer/smc.py

Recent versions of matplotlib have replaced it by set_facecolor. Mpltools uses the old attribute