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Working through the "Product generation" and "Visualizing results" sections of the API Reference in the documentation, I ran into a few errors when trying to run the cloudnetpy.plotting generate_figure function given as examples. This happened on the following 3 commands:
I downloaded the example files provided by the Quickstart documentation, and followed through all of the quickstart steps to generate these files. I then wen through all of the steps in "Product generation" in the API reference without issue, until I got to the "Visualizing results" section.
Running the figure generation resulted in a few variants of the same error, but the plots still seemed to be generated. (note that the examples using the categorize_file and the drizzle_file did not throw these errors):
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-17-66eb155af8df> in <module>
----> 1 generate_figure('iwc.nc', ['iwc', 'iwc_error', 'iwc_retrieval_status'])
~/anaconda/envs/cloudnet/lib/python3.8/site-packages/cloudnetpy/plotting/plotting.py in generate_figure(nc_file, field_names, show, save_path, max_y, dpi, image_name, sub_title, title)
57
58 elif plot_type == 'segment':
---> 59 _plot_segment_data(ax, field, name, ax_value)
60
61 else:
~/anaconda/envs/cloudnet/lib/python3.8/site-packages/cloudnetpy/plotting/plotting.py in _plot_segment_data(ax, data, name, axes)
226 colorbar = _init_colorbar(pl, ax)
227 colorbar.set_ticks(np.arange(len(clabel) + 1))
--> 228 colorbar.ax.set_yticklabels(clabel, fontsize=13)
229
230
~/anaconda/envs/cloudnet/lib/python3.8/site-packages/matplotlib/axes/_base.py in wrapper(self, *args, **kwargs)
61
62 def wrapper(self, *args, **kwargs):
---> 63 return get_method(self)(*args, **kwargs)
64
65 wrapper.__module__ = owner.__module__
~/anaconda/envs/cloudnet/lib/python3.8/site-packages/matplotlib/cbook/deprecation.py in wrapper(*args, **kwargs)
449 "parameter will become keyword-only %(removal)s.",
450 name=name, obj_type=f"parameter of {func.__name__}()")
--> 451 return func(*args, **kwargs)
452
453 return wrapper
~/anaconda/envs/cloudnet/lib/python3.8/site-packages/matplotlib/axis.py in _set_ticklabels(self, labels, fontdict, minor, **kwargs)
1791 if fontdict is not None:
1792 kwargs.update(fontdict)
-> 1793 return self.set_ticklabels(labels, minor=minor, **kwargs)
1794
1795 @cbook._make_keyword_only("3.2", "minor")
~/anaconda/envs/cloudnet/lib/python3.8/site-packages/matplotlib/axis.py in set_ticklabels(self, ticklabels, minor, **kwargs)
1712 # remove all tick labels, so only error for > 0 ticklabels
1713 if len(locator.locs) != len(ticklabels) and len(ticklabels) != 0:
-> 1714 raise ValueError(
1715 "The number of FixedLocator locations"
1716 f" ({len(locator.locs)}), usually from a call to"
ValueError: The number of FixedLocator locations (8), usually from a call to set_ticks, does not match the number of ticklabels (7).
The text was updated successfully, but these errors were encountered:
Review: openjournals/joss-reviews#2123
Working through the "Product generation" and "Visualizing results" sections of the API Reference in the documentation, I ran into a few errors when trying to run the cloudnetpy.plotting generate_figure function given as examples. This happened on the following 3 commands:
generate_figure('iwc_file.nc', ['iwc', 'iwc_error', 'iwc_retrieval_status'])
generate_figure('lwc_file.nc', ['lwc', 'lwc_error', 'lwc_retrieval_status'], max_y=4)
generate_figure('classification_file.nc', ['target_classification', 'detection_status'])
I downloaded the example files provided by the Quickstart documentation, and followed through all of the quickstart steps to generate these files. I then wen through all of the steps in "Product generation" in the API reference without issue, until I got to the "Visualizing results" section.
Running the figure generation resulted in a few variants of the same error, but the plots still seemed to be generated. (note that the examples using the categorize_file and the drizzle_file did not throw these errors):
The text was updated successfully, but these errors were encountered: