0.12.33: pytest is failing in few units #1512
Comments
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Second issue: looks like MANIFEST.in needs to be trimed to not install content of the tests/ RPM build errors:
/usr/etc/jupyter/nbconfig/notebook.d/bqplot.json
/usr/lib/python3.8/site-packages/tests/__init__.py
/usr/lib/python3.8/site-packages/tests/__pycache__/__init__.cpython-38.opt-1.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/__init__.cpython-38.opt-2.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/__init__.cpython-38.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/binary_serialization_test.cpython-38.opt-1.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/binary_serialization_test.cpython-38.opt-2.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/binary_serialization_test.cpython-38.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/conftest.cpython-38.opt-1.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/conftest.cpython-38.opt-2.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/conftest.cpython-38.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/marks_test.cpython-38.opt-1.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/marks_test.cpython-38.opt-2.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/marks_test.cpython-38.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/selector_test.cpython-38.opt-1.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/selector_test.cpython-38.opt-2.pyc
/usr/lib/python3.8/site-packages/tests/__pycache__/selector_test.cpython-38.pyc
/usr/lib/python3.8/site-packages/tests/binary_serialization_test.py
/usr/lib/python3.8/site-packages/tests/conftest.py
/usr/lib/python3.8/site-packages/tests/marks_test.py
/usr/lib/python3.8/site-packages/tests/selector_test.py |
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Just tested 0.12.34 and it is better however still two units are failimg + PYTHONPATH=/home/tkloczko/rpmbuild/BUILDROOT/python-bqplot-0.12.34-2.fc35.x86_64/usr/lib64/python3.8/site-packages:/home/tkloczko/rpmbuild/BUILDROOT/python-bqplot-0.12.34-2.fc35.x86_64/usr/lib/python3.8/site-packages
+ /usr/bin/pytest -ra
=========================================================================== test session starts ============================================================================
platform linux -- Python 3.8.13, pytest-7.1.2, pluggy-1.0.0
rootdir: /home/tkloczko/rpmbuild/BUILD/bqplot-0.12.34, configfile: pytest.ini
plugins: anyio-3.6.1, nbval-0.9.6
collected 952 items
examples/Index.ipynb . [ 0%]
examples/Introduction.ipynb ............................... [ 3%]
examples/Advanced Plotting/Advanced Plotting.ipynb .............. [ 4%]
examples/Advanced Plotting/Animations.ipynb ............... [ 6%]
examples/Advanced Plotting/Axis Properties.ipynb ......................... [ 9%]
examples/Advanced Plotting/Plotting Dates.ipynb ............... [ 10%]
examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb ...... [ 11%]
examples/Applications/Mobile Patent Suits.ipynb ... [ 11%]
examples/Applications/Neural Network.ipynb ... [ 11%]
examples/Applications/Outlier Detection.ipynb ......... [ 12%]
examples/Applications/Visualizing the US Elections.ipynb ..........FF....... [ 14%]
examples/Applications/Equity Index Performance/Time Series.ipynb ... [ 15%]
examples/Applications/Logs Analytics/Logs Dashboard.ipynb ............ [ 16%]
examples/Applications/Wealth Of Nations/Bubble Chart.ipynb ........ [ 17%]
examples/Applications/Wealth Of Nations/Choropleth.ipynb ........ [ 18%]
examples/Basic Plotting/Basic Plotting.ipynb ......... [ 19%]
examples/Basic Plotting/Pyplot.ipynb ......................................... [ 23%]
examples/Interactions/Interaction Layer.ipynb ....................................................... [ 29%]
examples/Interactions/Mark Interactions.ipynb ..................... [ 31%]
examples/Interactions/Selectors.ipynb ............. [ 32%]
examples/Marks/Object Model/Bars.ipynb ...................... [ 34%]
examples/Marks/Object Model/Bins.ipynb ........... [ 36%]
examples/Marks/Object Model/Boxplot.ipynb ...... [ 36%]
examples/Marks/Object Model/Candles.ipynb .......... [ 37%]
examples/Marks/Object Model/FlexLine.ipynb .... [ 38%]
examples/Marks/Object Model/Graph.ipynb ............. [ 39%]
examples/Marks/Object Model/GridHeatMap.ipynb ................. [ 41%]
examples/Marks/Object Model/HeatMap.ipynb ..... [ 41%]
examples/Marks/Object Model/Hist.ipynb ........... [ 43%]
examples/Marks/Object Model/Image.ipynb ...... [ 43%]
examples/Marks/Object Model/Label.ipynb ........ [ 44%]
examples/Marks/Object Model/Lines.ipynb ............................ [ 47%]
examples/Marks/Object Model/Map.ipynb ........ [ 48%]
examples/Marks/Object Model/Market Map.ipynb ............... [ 49%]
examples/Marks/Object Model/Pie.ipynb ............... [ 51%]
examples/Marks/Object Model/Scatter.ipynb ....................................... [ 55%]
examples/Marks/Object Model/ScatterMega.ipynb .................................... [ 59%]
examples/Marks/Pyplot/Bars.ipynb ................... [ 61%]
examples/Marks/Pyplot/Bins.ipynb ........... [ 62%]
examples/Marks/Pyplot/Boxplot.ipynb ...... [ 63%]
examples/Marks/Pyplot/Candles.ipynb ......... [ 64%]
examples/Marks/Pyplot/GridHeatMap.ipynb ................. [ 65%]
examples/Marks/Pyplot/HeatMap.ipynb ..... [ 66%]
examples/Marks/Pyplot/Hist.ipynb ........... [ 67%]
examples/Marks/Pyplot/Image.ipynb ...... [ 68%]
examples/Marks/Pyplot/Label.ipynb ........ [ 69%]
examples/Marks/Pyplot/Lines.ipynb ........................ [ 71%]
examples/Marks/Pyplot/Map.ipynb ......... [ 72%]
examples/Marks/Pyplot/Pie.ipynb .............. [ 73%]
examples/Marks/Pyplot/Scatter.ipynb ..................................... [ 77%]
examples/Scales/Color Scales.ipynb ................. [ 79%]
examples/Tutorials/Brush Interval Selector.ipynb ...... [ 80%]
examples/Tutorials/Fast Interval Selector.ipynb ...... [ 80%]
examples/Tutorials/Gaussian Density Widget.ipynb ..... [ 81%]
examples/Tutorials/Gaussian Density.ipynb ..... [ 81%]
examples/Tutorials/Linking Plots With Widgets.ipynb ....... [ 82%]
examples/Tutorials/Object Model.ipynb .... [ 83%]
examples/Tutorials/Pyplot.ipynb .... [ 83%]
examples/Tutorials/Updating Plots.ipynb ....... [ 84%]
tests/binary_serialization_test.py ..... [ 84%]
tests/marks_test.py .... [ 85%]
tests/selector_test.py . [ 85%]
ui-tests/tests/notebooks/bars.ipynb ...... [ 85%]
ui-tests/tests/notebooks/bars2d_update.ipynb ........ [ 86%]
ui-tests/tests/notebooks/bars_update.ipynb ......... [ 87%]
ui-tests/tests/notebooks/figure_pyplot.ipynb ... [ 88%]
ui-tests/tests/notebooks/graph.ipynb .. [ 88%]
ui-tests/tests/notebooks/graph_update.ipynb ........ [ 89%]
ui-tests/tests/notebooks/gridheatmap.ipynb ..... [ 89%]
ui-tests/tests/notebooks/gridheatmap_update.ipynb ......... [ 90%]
ui-tests/tests/notebooks/hist_update.ipynb ........ [ 91%]
ui-tests/tests/notebooks/index_selector_update.ipynb .. [ 91%]
ui-tests/tests/notebooks/lines.ipynb .. [ 91%]
ui-tests/tests/notebooks/lines_update.ipynb ............ [ 93%]
ui-tests/tests/notebooks/map.ipynb . [ 93%]
ui-tests/tests/notebooks/ohlc_update.ipynb .......... [ 94%]
ui-tests/tests/notebooks/ordinal_scale.ipynb .... [ 94%]
ui-tests/tests/notebooks/pie_update.ipynb .................... [ 96%]
ui-tests/tests/notebooks/scatter.ipynb .. [ 96%]
ui-tests/tests/notebooks/scatter_update.ipynb ............ [ 98%]
ui-tests/tests/notebooks/scattergl_update.ipynb ............. [ 99%]
ui-tests/tests/notebooks/ticks.ipynb .... [100%]
================================================================================= FAILURES =================================================================================
____________________________________________________ examples/Applications/Visualizing the US Elections.ipynb::Cell 10 _____________________________________________________
Notebook cell execution failed
Cell 10: Cell execution caused an exception
Input:
national = data[(data['State']=='US') & (data['Trump'] > 0.) & (data['Clinton'] > 0.)].sort_values(by='Date')
dt_x = DateScale()
sc_y = LinearScale()
clinton_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Clinton'],
scales={'x': dt_x, 'y': sc_y},
colors=['#2aa1ec'])
trump_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Trump'],
scales={'x': dt_x, 'y': sc_y},
colors=['#E91D0E'])
ax_x = Axis(scale=dt_x, label='Date', tick_format='%b-%Y', num_ticks=8)
ax_y = Axis(scale=sc_y, orientation='vertical', label='Percentage')
scat_fig = Figure(marks=[clinton_scatter, trump_scatter], axes=[ax_x, ax_y], title='General Election - National Polls')
Traceback:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Input In [11], in <cell line: 6>()
3 dt_x = DateScale()
4 sc_y = LinearScale()
----> 6 clinton_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Clinton'],
7 scales={'x': dt_x, 'y': sc_y},
8 colors=['#2aa1ec'])
10 trump_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Trump'],
11 scales={'x': dt_x, 'y': sc_y},
12 colors=['#E91D0E'])
14 ax_x = Axis(scale=dt_x, label='Date', tick_format='%b-%Y', num_ticks=8)
File ~/rpmbuild/BUILDROOT/python-bqplot-0.12.34-2.fc35.x86_64/usr/lib/python3.8/site-packages/bqplot/marks.py:547, in _ScatterBase.__init__(self, **kwargs)
545 self._drag_handlers = CallbackDispatcher()
546 self._drag_end_handlers = CallbackDispatcher()
--> 547 super(_ScatterBase, self).__init__(**kwargs)
549 self._name_to_handler.update({
550 'drag_start': self._drag_start_handlers,
551 'drag_end': self._drag_end_handlers,
552 'drag': self._drag_handlers
553 })
File ~/rpmbuild/BUILDROOT/python-bqplot-0.12.34-2.fc35.x86_64/usr/lib/python3.8/site-packages/bqplot/marks.py:242, in Mark.__init__(self, **kwargs)
241 def __init__(self, **kwargs):
--> 242 super(Mark, self).__init__(**kwargs)
243 self._hover_handlers = CallbackDispatcher()
244 self._click_handlers = CallbackDispatcher()
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget.py:480, in Widget.__init__(self, **kwargs)
477 super(Widget, self).__init__(**kwargs)
479 Widget._call_widget_constructed(self)
--> 480 self.open()
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget.py:493, in Widget.open(self)
491 """Open a comm to the frontend if one isn't already open."""
492 if self.comm is None:
--> 493 state, buffer_paths, buffers = _remove_buffers(self.get_state())
495 args = dict(target_name='jupyter.widget',
496 data={'state': state, 'buffer_paths': buffer_paths},
497 buffers=buffers,
498 metadata={'version': __protocol_version__}
499 )
500 if self._model_id is not None:
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget.py:583, in Widget.get_state(self, key, drop_defaults)
581 for k in keys:
582 to_json = self.trait_metadata(k, 'to_json', self._trait_to_json)
--> 583 value = to_json(getattr(self, k), self)
584 if not PY3 and isinstance(traits[k], Bytes) and isinstance(value, bytes):
585 value = memoryview(value)
File ~/rpmbuild/BUILDROOT/python-bqplot-0.12.34-2.fc35.x86_64/usr/lib/python3.8/site-packages/bqplot/traits.py:177, in array_to_json(ar, obj, force_contiguous)
175 return [array_to_json(np.array(row), obj, force_contiguous) for row in ar]
176 else:
--> 177 raise ValueError("Unsupported dtype object")
179 if ar.dtype.kind in ['S', 'U']: # strings to as plain json
180 return ar.tolist()
ValueError: Unsupported dtype object
____________________________________________________ examples/Applications/Visualizing the US Elections.ipynb::Cell 11 _____________________________________________________
Notebook cell execution failed
Cell 11: Cell execution caused an exception
Input:
VBox([map_fig, scat_fig])
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Input In [12], in <cell line: 1>()
----> 1 VBox([map_fig, scat_fig])
NameError: name 'scat_fig' is not defined
============================================================================= warnings summary =============================================================================
../../../../../usr/lib/python3.8/site-packages/traittypes/traittypes.py:20
/usr/lib/python3.8/site-packages/traittypes/traittypes.py:20: DeprecationWarning:
Sentinel is not a public part of the traitlets API.
It was published by mistake, and may be removed in the future.
Empty = Sentinel('Empty', 'traittypes',
../../../../../usr/lib/python3.8/site-packages/_pytest/nodes.py:633: 81 warnings
/usr/lib/python3.8/site-packages/_pytest/nodes.py:633: PytestRemovedIn8Warning: The (fspath: py.path.local) argument to IPyNbFile is deprecated. Please use the (path: pathlib.Path) argument instead.
See https://docs.pytest.org/en/latest/deprecations.html#fspath-argument-for-node-constructors-replaced-with-pathlib-path
return super().from_parent(parent=parent, fspath=fspath, path=path, **kw)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
========================================================================= short test summary info ==========================================================================
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 10
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 11
========================================================== 2 failed, 950 passed, 82 warnings in 340.82s (0:05:40) ========================================================== |
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Thanks for reporting! Looking at the error output
Yes indeed, it has been fixed yesterday #1518 and will be included in the next 0.12 release. |
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Tested b82283e from 0.12.x branch and looks like still something is wrong .. + PYTHONPATH=/home/tkloczko/rpmbuild/BUILDROOT/python-bqplot-0.12.34-2.fc35.x86_64/usr/lib64/python3.8/site-packages:/home/tkloczko/rpmbuild/BUILDROOT/python-bqplot-0.12.34-2.fc35.x86_64/usr/lib/python3.8/site-packages
+ /usr/bin/pytest -ra 'examples/Applications/Visualizing the US Elections.ipynb'
=========================================================================== test session starts ============================================================================
platform linux -- Python 3.8.13, pytest-7.1.2, pluggy-1.0.0
rootdir: /home/tkloczko/rpmbuild/BUILD/bqplot-0.12.34, configfile: pytest.ini
plugins: anyio-3.6.1, nbval-0.9.6
collected 19 items
examples/Applications/Visualizing the US Elections.ipynb ..........FF....... [100%]
================================================================================= FAILURES =================================================================================
____________________________________________________ examples/Applications/Visualizing the US Elections.ipynb::Cell 10 _____________________________________________________
Notebook cell execution failed
Cell 10: Cell execution caused an exception
Input:
national = data[(data['State']=='US') & (data['Trump'] > 0.) & (data['Clinton'] > 0.)].sort_values(by='Date')
dt_x = DateScale()
sc_y = LinearScale()
clinton_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Clinton'],
scales={'x': dt_x, 'y': sc_y},
colors=['#2aa1ec'])
trump_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Trump'],
scales={'x': dt_x, 'y': sc_y},
colors=['#E91D0E'])
ax_x = Axis(scale=dt_x, label='Date', tick_format='%b-%Y', num_ticks=8)
ax_y = Axis(scale=sc_y, orientation='vertical', label='Percentage')
scat_fig = Figure(marks=[clinton_scatter, trump_scatter], axes=[ax_x, ax_y], title='General Election - National Polls')
Traceback:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Input In [11], in <cell line: 6>()
3 dt_x = DateScale()
4 sc_y = LinearScale()
----> 6 clinton_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Clinton'],
7 scales={'x': dt_x, 'y': sc_y},
8 colors=['#2aa1ec'])
10 trump_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Trump'],
11 scales={'x': dt_x, 'y': sc_y},
12 colors=['#E91D0E'])
14 ax_x = Axis(scale=dt_x, label='Date', tick_format='%b-%Y', num_ticks=8)
File ~/rpmbuild/BUILDROOT/python-bqplot-0.12.34-2.fc35.x86_64/usr/lib/python3.8/site-packages/bqplot/marks.py:547, in _ScatterBase.__init__(self, **kwargs)
545 self._drag_handlers = CallbackDispatcher()
546 self._drag_end_handlers = CallbackDispatcher()
--> 547 super(_ScatterBase, self).__init__(**kwargs)
549 self._name_to_handler.update({
550 'drag_start': self._drag_start_handlers,
551 'drag_end': self._drag_end_handlers,
552 'drag': self._drag_handlers
553 })
File ~/rpmbuild/BUILDROOT/python-bqplot-0.12.34-2.fc35.x86_64/usr/lib/python3.8/site-packages/bqplot/marks.py:242, in Mark.__init__(self, **kwargs)
241 def __init__(self, **kwargs):
--> 242 super(Mark, self).__init__(**kwargs)
243 self._hover_handlers = CallbackDispatcher()
244 self._click_handlers = CallbackDispatcher()
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget.py:480, in Widget.__init__(self, **kwargs)
477 super(Widget, self).__init__(**kwargs)
479 Widget._call_widget_constructed(self)
--> 480 self.open()
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget.py:493, in Widget.open(self)
491 """Open a comm to the frontend if one isn't already open."""
492 if self.comm is None:
--> 493 state, buffer_paths, buffers = _remove_buffers(self.get_state())
495 args = dict(target_name='jupyter.widget',
496 data={'state': state, 'buffer_paths': buffer_paths},
497 buffers=buffers,
498 metadata={'version': __protocol_version__}
499 )
500 if self._model_id is not None:
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget.py:583, in Widget.get_state(self, key, drop_defaults)
581 for k in keys:
582 to_json = self.trait_metadata(k, 'to_json', self._trait_to_json)
--> 583 value = to_json(getattr(self, k), self)
584 if not PY3 and isinstance(traits[k], Bytes) and isinstance(value, bytes):
585 value = memoryview(value)
File ~/rpmbuild/BUILDROOT/python-bqplot-0.12.34-2.fc35.x86_64/usr/lib/python3.8/site-packages/bqplot/traits.py:177, in array_to_json(ar, obj, force_contiguous)
175 return [array_to_json(np.array(row), obj, force_contiguous) for row in ar]
176 else:
--> 177 raise ValueError("Unsupported dtype object")
179 if ar.dtype.kind in ['S', 'U']: # strings to as plain json
180 return ar.tolist()
ValueError: Unsupported dtype object
____________________________________________________ examples/Applications/Visualizing the US Elections.ipynb::Cell 11 _____________________________________________________ |
|
Just updated my package to 0.12.36 and stil lI see some failimg units + PYTHONPATH=/home/tkloczko/rpmbuild/BUILDROOT/python-bqplot-0.12.36-2.fc35.x86_64/usr/lib64/python3.8/site-packages:/home/tkloczko/rpmbuild/BUILDROOT/python-bqplot-0.12.36-2.fc35.x86_64/usr/lib/python3.8/site-packages
+ /usr/bin/pytest -ra
=========================================================================== test session starts ============================================================================
platform linux -- Python 3.8.15, pytest-7.2.0, pluggy-1.0.0
rootdir: /home/tkloczko/rpmbuild/BUILD/bqplot-0.12.36, configfile: pytest.ini
plugins: anyio-3.6.1, nbval-0.9.6
collected 952 items
examples/Index.ipynb . [ 0%]
examples/Introduction.ipynb ............................... [ 3%]
examples/Advanced Plotting/Advanced Plotting.ipynb .............. [ 4%]
examples/Advanced Plotting/Animations.ipynb ............... [ 6%]
examples/Advanced Plotting/Axis Properties.ipynb ......................... [ 9%]
examples/Advanced Plotting/Plotting Dates.ipynb ............... [ 10%]
examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb ..FFFF [ 11%]
examples/Applications/Mobile Patent Suits.ipynb ... [ 11%]
examples/Applications/Neural Network.ipynb ... [ 11%]
examples/Applications/Outlier Detection.ipynb ......... [ 12%]
examples/Applications/Visualizing the US Elections.ipynb ...F...F.FFF....... [ 14%]
examples/Applications/Equity Index Performance/Time Series.ipynb ... [ 15%]
examples/Applications/Logs Analytics/Logs Dashboard.ipynb ............ [ 16%]
examples/Applications/Wealth Of Nations/Bubble Chart.ipynb ........ [ 17%]
examples/Applications/Wealth Of Nations/Choropleth.ipynb ........ [ 18%]
examples/Basic Plotting/Basic Plotting.ipynb ......... [ 19%]
examples/Basic Plotting/Pyplot.ipynb .....................................F..F [ 23%]
examples/Interactions/Interaction Layer.ipynb .....................................................F. [ 29%]
examples/Interactions/Mark Interactions.ipynb ..................... [ 31%]
examples/Interactions/Selectors.ipynb ............. [ 32%]
examples/Marks/Object Model/Bars.ipynb ...................... [ 34%]
examples/Marks/Object Model/Bins.ipynb ........... [ 36%]
examples/Marks/Object Model/Boxplot.ipynb ...... [ 36%]
examples/Marks/Object Model/Candles.ipynb .......... [ 37%]
examples/Marks/Object Model/FlexLine.ipynb .... [ 38%]
examples/Marks/Object Model/Graph.ipynb ............. [ 39%]
examples/Marks/Object Model/GridHeatMap.ipynb ................. [ 41%]
examples/Marks/Object Model/HeatMap.ipynb ..... [ 41%]
examples/Marks/Object Model/Hist.ipynb ........... [ 43%]
examples/Marks/Object Model/Image.ipynb ...... [ 43%]
examples/Marks/Object Model/Label.ipynb ........ [ 44%]
examples/Marks/Object Model/Lines.ipynb ............................ [ 47%]
examples/Marks/Object Model/Map.ipynb ........ [ 48%]
examples/Marks/Object Model/Market Map.ipynb ............... [ 49%]
examples/Marks/Object Model/Pie.ipynb ............... [ 51%]
examples/Marks/Object Model/Scatter.ipynb ....................................... [ 55%]
examples/Marks/Object Model/ScatterMega.ipynb .................................... [ 59%]
examples/Marks/Pyplot/Bars.ipynb ................... [ 61%]
examples/Marks/Pyplot/Bins.ipynb ........... [ 62%]
examples/Marks/Pyplot/Boxplot.ipynb ...... [ 63%]
examples/Marks/Pyplot/Candles.ipynb ......... [ 64%]
examples/Marks/Pyplot/GridHeatMap.ipynb ................. [ 65%]
examples/Marks/Pyplot/HeatMap.ipynb ..... [ 66%]
examples/Marks/Pyplot/Hist.ipynb ........... [ 67%]
examples/Marks/Pyplot/Image.ipynb ...... [ 68%]
examples/Marks/Pyplot/Label.ipynb ........ [ 69%]
examples/Marks/Pyplot/Lines.ipynb ........................ [ 71%]
examples/Marks/Pyplot/Map.ipynb ......... [ 72%]
examples/Marks/Pyplot/Pie.ipynb .............. [ 73%]
examples/Marks/Pyplot/Scatter.ipynb ..................................... [ 77%]
examples/Scales/Color Scales.ipynb ................F [ 79%]
examples/Tutorials/Brush Interval Selector.ipynb ...... [ 80%]
examples/Tutorials/Fast Interval Selector.ipynb ...... [ 80%]
examples/Tutorials/Gaussian Density Widget.ipynb ..... [ 81%]
examples/Tutorials/Gaussian Density.ipynb ..... [ 81%]
examples/Tutorials/Linking Plots With Widgets.ipynb ......F [ 82%]
examples/Tutorials/Object Model.ipynb .... [ 83%]
examples/Tutorials/Pyplot.ipynb .... [ 83%]
examples/Tutorials/Updating Plots.ipynb ....... [ 84%]
tests/binary_serialization_test.py ..... [ 84%]
tests/marks_test.py .... [ 85%]
tests/selector_test.py . [ 85%]
ui-tests/tests/notebooks/bars.ipynb ...... [ 85%]
ui-tests/tests/notebooks/bars2d_update.ipynb ........ [ 86%]
ui-tests/tests/notebooks/bars_update.ipynb ......... [ 87%]
ui-tests/tests/notebooks/figure_pyplot.ipynb ... [ 88%]
ui-tests/tests/notebooks/graph.ipynb .. [ 88%]
ui-tests/tests/notebooks/graph_update.ipynb ........ [ 89%]
ui-tests/tests/notebooks/gridheatmap.ipynb ..... [ 89%]
ui-tests/tests/notebooks/gridheatmap_update.ipynb ......... [ 90%]
ui-tests/tests/notebooks/hist_update.ipynb ........ [ 91%]
ui-tests/tests/notebooks/index_selector_update.ipynb .. [ 91%]
ui-tests/tests/notebooks/lines.ipynb .. [ 91%]
ui-tests/tests/notebooks/lines_update.ipynb ............ [ 93%]
ui-tests/tests/notebooks/map.ipynb . [ 93%]
ui-tests/tests/notebooks/ohlc_update.ipynb .......... [ 94%]
ui-tests/tests/notebooks/ordinal_scale.ipynb .... [ 94%]
ui-tests/tests/notebooks/pie_update.ipynb .................... [ 96%]
ui-tests/tests/notebooks/scatter.ipynb .. [ 96%]
ui-tests/tests/notebooks/scatter_update.ipynb ............ [ 98%]
ui-tests/tests/notebooks/scattergl_update.ipynb ............. [ 99%]
ui-tests/tests/notebooks/ticks.ipynb .... [100%]
================================================================================= FAILURES =================================================================================
_______________________________________________ examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 2 ________________________________________________
Notebook cell execution failed
Cell 2: Cell execution caused an exception
Input:
import pandas as pd
from sklearn.datasets import load_iris
from sklearn.decomposition import PCA
from sklearn.preprocessing import scale
np.random.seed(42)
digits = load_iris()
data = scale(digits.data)
n_features=4
#n_pca=3
#pca = PCA(n_components=n_pca).fit(data)
df = pd.DataFrame(data, columns=['feature_{}'.format(x) for x in range(n_features)])
df['leaf'] = digits.target
df['extra_info'] = [np.random.randint(100) for x in range(digits.target.shape[0])]
Traceback:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In [3], line 2
1 import pandas as pd
----> 2 from sklearn.datasets import load_iris
3 from sklearn.decomposition import PCA
4 from sklearn.preprocessing import scale
ModuleNotFoundError: No module named 'sklearn'
_______________________________________________ examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 3 ________________________________________________
Notebook cell execution failed
Cell 3: Cell execution caused an exception
Input:
feature_vector_distribution(df, 'leaf',
group_columns=['extra_info'],
bins=25,
f_lim = {'min':-3, 'max':3}
)
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In [4], line 1
----> 1 feature_vector_distribution(df, 'leaf',
2 group_columns=['extra_info'],
3 bins=25,
4 f_lim = {'min':-3, 'max':3}
5 )
NameError: name 'df' is not defined
_______________________________________________ examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 4 ________________________________________________
Notebook cell execution failed
Cell 4: Cell execution caused an exception
Input:
import numpy as np
import pandas as pd
from sklearn.datasets import load_digits
from sklearn.decomposition import PCA
from sklearn.preprocessing import scale
np.random.seed(42)
digits = load_digits()
data = scale(digits.data)
n_pca=10
pca = PCA(n_components=n_pca).fit(data)
df = pd.DataFrame(pca.transform(data), columns=['pca_{}'.format(x) for x in range(n_pca)])
df['digit'] = digits.target
df['test'] = [np.random.randint(100) for x in range(digits.target.shape[0])]
Traceback:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In [5], line 3
1 import numpy as np
2 import pandas as pd
----> 3 from sklearn.datasets import load_digits
4 from sklearn.decomposition import PCA
5 from sklearn.preprocessing import scale
ModuleNotFoundError: No module named 'sklearn'
_______________________________________________ examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 5 ________________________________________________
Notebook cell execution failed
Cell 5: Cell execution caused an exception
Input:
feature_vector_distribution(df, 'digit',
group_columns=['test'],
bins=20,
f_lim = {'min':-7, 'max':7}
)
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In [6], line 1
----> 1 feature_vector_distribution(df, 'digit',
2 group_columns=['test'],
3 bins=20,
4 f_lim = {'min':-7, 'max':7}
5 )
NameError: name 'df' is not defined
_____________________________________________________ examples/Applications/Visualizing the US Elections.ipynb::Cell 3 _____________________________________________________
Notebook cell execution failed
Cell 3: Cell execution caused an exception
Input:
try:
from pollster import Pollster
pollster = Pollster()
# Getting data from Pollster. This might take a second.
raw_data = pollster.charts(topic='2016-president')
data = pd.DataFrame(columns=['Name', 'Partisan', 'State', 'Date', 'Trump', 'Clinton', 'Other',
'Undecided'])
for i in raw_data:
analyze_polls(i.polls())
except:
raise ValueError('Please install Pollster and run the functions above')
Traceback:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In [4], line 2
1 try:
----> 2 from pollster import Pollster
3 pollster = Pollster()
ModuleNotFoundError: No module named 'pollster'
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
Cell In [4], line 14
12 analyze_polls(i.polls())
13 except:
---> 14 raise ValueError('Please install Pollster and run the functions above')
ValueError: Please install Pollster and run the functions above
_____________________________________________________ examples/Applications/Visualizing the US Elections.ipynb::Cell 7 _____________________________________________________
Notebook cell execution failed
Cell 7: Cell execution caused an exception
Input:
sc_geo = AlbersUSA()
sc_c1 = OrdinalColorScale(domain=['Democrat', 'Republican'], colors=['#2aa1ec', '#E91D0E'])
color_data = get_color_data()
map_styles = {'color': color_data,
'scales': {'projection': sc_geo, 'color': sc_c1}, 'colors': {'default_color': 'Grey'}}
axis = ColorAxis(scale=sc_c1)
states_map = Map(map_data=topo_load('map_data/USStatesMap.json'), tooltip=ts_fig, **map_styles)
map_fig = Figure(marks=[states_map], axes=[axis],title='General Election Polls - State Wise')
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In [8], line 4
1 sc_geo = AlbersUSA()
2 sc_c1 = OrdinalColorScale(domain=['Democrat', 'Republican'], colors=['#2aa1ec', '#E91D0E'])
----> 4 color_data = get_color_data()
6 map_styles = {'color': color_data,
7 'scales': {'projection': sc_geo, 'color': sc_c1}, 'colors': {'default_color': 'Grey'}}
9 axis = ColorAxis(scale=sc_c1)
Cell In [5], line 16, in get_color_data()
14 color_data = {}
15 for i in codes['FIPS']:
---> 16 color_data[i] = get_state_party(i)
17 return color_data
Cell In [5], line 3, in get_state_party(code)
1 def get_state_party(code):
2 state = codes[codes['FIPS']==code]['USPS'].values[0]
----> 3 if data[data['State']==state].shape[0] == 0:
4 return None
5 polls = data[(data['State']==state) & (data['Trump'] > 0.) & (data['Clinton'] > 0.)].sort_values(by='Date')
NameError: name 'data' is not defined
_____________________________________________________ examples/Applications/Visualizing the US Elections.ipynb::Cell 9 _____________________________________________________
Notebook cell execution failed
Cell 9: Cell execution caused an exception
Input:
states_map.on_hover(hover_callback)
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In [10], line 1
----> 1 states_map.on_hover(hover_callback)
NameError: name 'states_map' is not defined
____________________________________________________ examples/Applications/Visualizing the US Elections.ipynb::Cell 10 _____________________________________________________
Notebook cell execution failed
Cell 10: Cell execution caused an exception
Input:
national = data[(data['State']=='US') & (data['Trump'] > 0.) & (data['Clinton'] > 0.)].sort_values(by='Date')
dt_x = DateScale()
sc_y = LinearScale()
clinton_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Clinton'],
scales={'x': dt_x, 'y': sc_y},
colors=['#2aa1ec'])
trump_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Trump'],
scales={'x': dt_x, 'y': sc_y},
colors=['#E91D0E'])
ax_x = Axis(scale=dt_x, label='Date', tick_format='%b-%Y', num_ticks=8)
ax_y = Axis(scale=sc_y, orientation='vertical', label='Percentage')
scat_fig = Figure(marks=[clinton_scatter, trump_scatter], axes=[ax_x, ax_y], title='General Election - National Polls')
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In [11], line 1
----> 1 national = data[(data['State']=='US') & (data['Trump'] > 0.) & (data['Clinton'] > 0.)].sort_values(by='Date')
3 dt_x = DateScale()
4 sc_y = LinearScale()
NameError: name 'data' is not defined
____________________________________________________ examples/Applications/Visualizing the US Elections.ipynb::Cell 11 _____________________________________________________
Notebook cell execution failed
Cell 11: Cell execution caused an exception
Input:
VBox([map_fig, scat_fig])
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In [12], line 1
----> 1 VBox([map_fig, scat_fig])
NameError: name 'map_fig' is not defined
______________________________________________________________ examples/Basic Plotting/Pyplot.ipynb::Cell 37 _______________________________________________________________
Notebook cell execution failed
Cell 37: Cell execution caused an exception
Input:
plt.close(2)
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In [38], line 1
----> 1 plt.close(2)
File ~/rpmbuild/BUILDROOT/python-bqplot-0.12.36-2.fc35.x86_64/usr/lib/python3.8/site-packages/bqplot/pyplot.py:235, in close(key)
233 fig = figure_registry[key]
234 if hasattr(fig, 'pyplot'):
--> 235 fig.pyplot.close()
236 fig.pyplot_vbox.close()
237 fig.close()
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget.py:500, in Widget.close(self)
498 if self.comm is not None:
499 Widget._active_widgets.pop(self.model_id, None)
--> 500 self.comm.close()
501 self.comm = None
502 self._repr_mimebundle_ = None
File /usr/lib/python3.8/site-packages/comm/base_comm.py:109, in BaseComm.close(self, data, metadata, buffers, deleting)
101 self.publish_msg(
102 "comm_close",
103 data=data,
104 metadata=metadata,
105 buffers=buffers,
106 )
107 if not deleting:
108 # If deleting, the comm can't be registered
--> 109 get_comm_manager().unregister_comm(self)
NameError: name 'get_comm_manager' is not defined
______________________________________________________________ examples/Basic Plotting/Pyplot.ipynb::Cell 40 _______________________________________________________________
Notebook cell execution failed
Cell 40: Cell execution caused an exception
Input:
# click and drag on chart to make a selection
def callback(name, value):
label.value = 'Brushing: ' + str(value)
_ = plt.brush_int_selector(callback, 'brushing')
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In [41], line 4
2 def callback(name, value):
3 label.value = 'Brushing: ' + str(value)
----> 4 _ = plt.brush_int_selector(callback, 'brushing')
File ~/rpmbuild/BUILDROOT/python-bqplot-0.12.36-2.fc35.x86_64/usr/lib/python3.8/site-packages/bqplot/pyplot.py:1180, in brush_int_selector(func, trait, **kwargs)
1164 def brush_int_selector(func=None, trait='selected', **kwargs):
1165 """Create a `BrushIntervalSelector` interaction for the `figure`.
1166
1167 Also attaches the function `func` as an event listener for the
(...)
1178 call back function `func`.
1179 """
-> 1180 return _create_selector(BrushIntervalSelector, func, trait, **kwargs)
File ~/rpmbuild/BUILDROOT/python-bqplot-0.12.36-2.fc35.x86_64/usr/lib/python3.8/site-packages/bqplot/pyplot.py:1158, in _create_selector(int_type, func, trait, **kwargs)
1138 def _create_selector(int_type, func, trait, **kwargs):
1139 """Create a selector of the specified type.
1140
1141 Also attaches the function `func` as an `on_trait_change` listener
(...)
1156 call back function `func`.
1157 """
-> 1158 interaction = _add_interaction(int_type, **kwargs)
1159 if func is not None:
1160 interaction.on_trait_change(func, trait)
File ~/rpmbuild/BUILDROOT/python-bqplot-0.12.36-2.fc35.x86_64/usr/lib/python3.8/site-packages/bqplot/pyplot.py:1121, in _add_interaction(int_type, **kwargs)
1119 interaction = int_type(**kwargs)
1120 if fig.interaction is not None:
-> 1121 fig.interaction.close()
1122 fig.interaction = interaction
1123 return interaction
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget.py:500, in Widget.close(self)
498 if self.comm is not None:
499 Widget._active_widgets.pop(self.model_id, None)
--> 500 self.comm.close()
501 self.comm = None
502 self._repr_mimebundle_ = None
File /usr/lib/python3.8/site-packages/comm/base_comm.py:109, in BaseComm.close(self, data, metadata, buffers, deleting)
101 self.publish_msg(
102 "comm_close",
103 data=data,
104 metadata=metadata,
105 buffers=buffers,
106 )
107 if not deleting:
108 # If deleting, the comm can't be registered
--> 109 get_comm_manager().unregister_comm(self)
NameError: name 'get_comm_manager' is not defined
__________________________________________________________ examples/Interactions/Interaction Layer.ipynb::Cell 53 __________________________________________________________
Notebook cell execution failed
Cell 53: Cell execution caused an exception
Input:
from collections import OrderedDict
selection_interacts = ToggleButtons(options=OrderedDict([('HandDraw1', hd), ('HandDraw2', hd2), ('PanZoom', pz),
('FastIntervalSelector', int_sel), ('IndexSelector', index_sel),
('BrushIntervalSelector', br_intsel), ('MultiSelector', multi_sel),
('None', None)]))
link((selection_interacts, 'value'), (fig, 'interaction'))
VBox([deb, fig, selection_interacts], align_self='stretch')
Traceback:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In [54], line 2
1 from collections import OrderedDict
----> 2 selection_interacts = ToggleButtons(options=OrderedDict([('HandDraw1', hd), ('HandDraw2', hd2), ('PanZoom', pz),
3 ('FastIntervalSelector', int_sel), ('IndexSelector', index_sel),
4 ('BrushIntervalSelector', br_intsel), ('MultiSelector', multi_sel),
5 ('None', None)]))
7 link((selection_interacts, 'value'), (fig, 'interaction'))
8 VBox([deb, fig, selection_interacts], align_self='stretch')
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget_selection.py:173, in _Selection.__init__(self, *args, **kwargs)
171 self._initializing_traits_ = True
172 kwargs['options'] = _exhaust_iterable(kwargs.get('options', ()))
--> 173 self._options_full = _make_options(kwargs['options'])
174 self._propagate_options(None)
176 # Select the first item by default, if we can
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget_selection.py:115, in _make_options(x)
106 """Standardize the options tuple format.
107
108 The returned tuple should be in the format (('label', value), ('label', value), ...).
(...)
112 * an iterable of values, and labels will be generated
113 """
114 if isinstance(x, Mapping):
--> 115 raise TypeError("options must be a list of values or a list of (label, value) tuples")
117 # only iterate once through the options.
118 xlist = tuple(x)
TypeError: options must be a list of values or a list of (label, value) tuples
_______________________________________________________________ examples/Scales/Color Scales.ipynb::Cell 16 ________________________________________________________________
Notebook cell execution failed
Cell 16: Cell execution caused an exception
Input:
# Define the control widgets
n_groups_slider = IntSlider(description='n colors', min=3)
scheme_dd = Dropdown(description='Scheme',
options=ord_schemes)
def update_scheme(*args):
col_sc.scheme = scheme_dd.label
ax_c.label = scheme_dd.label
n_groups_slider.max = scheme_dd.value
def update_categories(*args):
groups = partition(names, n_groups_slider.value)
market_map.color = groups
market_map.groups = groups
n_groups_slider.observe(update_categories, 'value')
scheme_dd.observe(update_scheme)
# Define the bqplot marketmap
names = range(100)
col_sc = OrdinalColorScale()
ax_c = ColorAxis(scale=col_sc)
market_map = MarketMap(names=names,
display_text=['' for _ in names],
scales={'color': col_sc}, axes=[ax_c],
layout=Layout(min_width='800px', min_height='600px'))
update_scheme()
update_categories()
VBox([HBox([scheme_dd, n_groups_slider]), market_map])
Traceback:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In [17], line 3
1 # Define the control widgets
2 n_groups_slider = IntSlider(description='n colors', min=3)
----> 3 scheme_dd = Dropdown(description='Scheme',
4 options=ord_schemes)
6 def update_scheme(*args):
7 col_sc.scheme = scheme_dd.label
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget_selection.py:173, in _Selection.__init__(self, *args, **kwargs)
171 self._initializing_traits_ = True
172 kwargs['options'] = _exhaust_iterable(kwargs.get('options', ()))
--> 173 self._options_full = _make_options(kwargs['options'])
174 self._propagate_options(None)
176 # Select the first item by default, if we can
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget_selection.py:115, in _make_options(x)
106 """Standardize the options tuple format.
107
108 The returned tuple should be in the format (('label', value), ('label', value), ...).
(...)
112 * an iterable of values, and labels will be generated
113 """
114 if isinstance(x, Mapping):
--> 115 raise TypeError("options must be a list of values or a list of (label, value) tuples")
117 # only iterate once through the options.
118 xlist = tuple(x)
TypeError: options must be a list of values or a list of (label, value) tuples
_______________________________________________________ examples/Tutorials/Linking Plots With Widgets.ipynb::Cell 6 ________________________________________________________
Notebook cell execution failed
Cell 6: Cell execution caused an exception
Input:
funcs = dict(sin=np.sin, cos=np.cos, tan=np.tan, sinh=np.sinh, tanh=np.tanh)
dropdown = widgets.Dropdown(options=funcs, description='Function')
fig = plt.figure(title='sin(x)', animation_duration=1000)
# create x and y data attributes for the line chart
x = np.arange(-10, 10, .1)
y = np.sin(x)
line = plt.plot(x, y ,'m')
def update_line(*args):
f = dropdown.value
fig.title = f'{f.__name__}(x)'
line.y = f(line.x)
dropdown.observe(update_line, 'value')
widgets.VBox([dropdown, fig])
Traceback:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In [7], line 2
1 funcs = dict(sin=np.sin, cos=np.cos, tan=np.tan, sinh=np.sinh, tanh=np.tanh)
----> 2 dropdown = widgets.Dropdown(options=funcs, description='Function')
4 fig = plt.figure(title='sin(x)', animation_duration=1000)
6 # create x and y data attributes for the line chart
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget_selection.py:173, in _Selection.__init__(self, *args, **kwargs)
171 self._initializing_traits_ = True
172 kwargs['options'] = _exhaust_iterable(kwargs.get('options', ()))
--> 173 self._options_full = _make_options(kwargs['options'])
174 self._propagate_options(None)
176 # Select the first item by default, if we can
File /usr/lib/python3.8/site-packages/ipywidgets/widgets/widget_selection.py:115, in _make_options(x)
106 """Standardize the options tuple format.
107
108 The returned tuple should be in the format (('label', value), ('label', value), ...).
(...)
112 * an iterable of values, and labels will be generated
113 """
114 if isinstance(x, Mapping):
--> 115 raise TypeError("options must be a list of values or a list of (label, value) tuples")
117 # only iterate once through the options.
118 xlist = tuple(x)
TypeError: options must be a list of values or a list of (label, value) tuples
============================================================================= warnings summary =============================================================================
../../../../../usr/lib/python3.8/site-packages/traittypes/traittypes.py:20
/usr/lib/python3.8/site-packages/traittypes/traittypes.py:20: DeprecationWarning:
Sentinel is not a public part of the traitlets API.
It was published by mistake, and may be removed in the future.
Empty = Sentinel('Empty', 'traittypes',
../../../../../usr/lib/python3.8/site-packages/_pytest/nodes.py:642: 81 warnings
/usr/lib/python3.8/site-packages/_pytest/nodes.py:642: PytestRemovedIn8Warning: The (fspath: py.path.local) argument to IPyNbFile is deprecated. Please use the (path: pathlib.Path) argument instead.
See https://docs.pytest.org/en/latest/deprecations.html#fspath-argument-for-node-constructors-replaced-with-pathlib-path
return super().from_parent(parent=parent, fspath=fspath, path=path, **kw)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
========================================================================= short test summary info ==========================================================================
FAILED examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 2
FAILED examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 3
FAILED examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 4
FAILED examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 5
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 3
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 7
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 9
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 10
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 11
FAILED examples/Basic Plotting/Pyplot.ipynb::Cell 37
FAILED examples/Basic Plotting/Pyplot.ipynb::Cell 40
FAILED examples/Interactions/Interaction Layer.ipynb::Cell 53
FAILED examples/Scales/Color Scales.ipynb::Cell 16
FAILED examples/Tutorials/Linking Plots With Widgets.ipynb::Cell 6
========================================================= 14 failed, 938 passed, 82 warnings in 207.05s (0:03:27) ==========================================================Here is list of installed modules in build env Package Version
----------------------------- -----------------
alabaster 0.7.12
anyio 3.6.1
appdirs 1.4.4
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
asttokens 2.2.0
attrs 22.1.0
Babel 2.11.0
backcall 0.2.0
beautifulsoup4 4.11.1
bleach 5.0.0
Brlapi 0.8.3
build 0.9.0
cffi 1.15.1
charset-normalizer 3.0.1
comm 0.1.0
contourpy 1.0.6
coverage 6.5.0
cssselect 1.1.0
cycler 0.11.0
debugpy 1.6.4
decorator 5.1.1
defusedxml 0.7.1
deprecation 2.1.0
distro 1.8.0
dnspython 2.2.1
docutils 0.19
entrypoints 0.4
exceptiongroup 1.0.0
executing 1.2.0
extras 1.0.0
fastjsonschema 2.16.1
fixtures 4.0.0
fonttools 4.38.0
gpg 1.17.1-unknown
html5lib 1.1
idna 3.4
imagesize 1.4.1
importlib-metadata 5.1.0
importlib-resources 5.9.0
iniconfig 1.1.1
ipykernel 6.18.3
ipython 8.6.0
ipython-genutils 0.2.0
ipywidgets 8.0.1
jedi 0.18.2
Jinja2 3.1.2
json5 0.9.9
jsonschema 4.17.3
jupyter_client 7.4.7
jupyter_core 5.1.0
jupyter_packaging 0.12.3
jupyter-server 1.23.3
jupyter-sphinx 0.4.0
jupyterlab 3.5.0
jupyterlab-pygments 0.1.2
jupyterlab_server 2.16.3
jupyterlab-widgets 3.0.2
kiwisolver 1.4.4
libcomps 0.1.19
louis 3.23.0
lxml 4.9.1
MarkupSafe 2.1.1
matplotlib 3.6.2
matplotlib-inline 0.1.5
mistune 2.0.4
nbclassic 0.4.8
nbclient 0.7.2
nbconvert 7.2.5
nbformat 5.7.0
nbval 0.9.6
nest-asyncio 1.5.6
notebook 6.5.2
notebook_shim 0.2.2
numpy 1.23.1
olefile 0.46
packaging 21.3
pandas 1.5.2
pandocfilters 1.5.0
parso 0.8.3
pbr 5.9.0
pep517 0.13.0
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.3.0
pip 22.3.1
pkgutil_resolve_name 1.3.10
platformdirs 2.5.2
pluggy 1.0.0
ply 3.11
prometheus-client 0.15.0
prompt-toolkit 3.0.29
psutil 5.9.2
ptyprocess 0.7.0
pure-eval 0.2.2
pycparser 2.21
Pygments 2.13.0
PyGObject 3.42.2
pyparsing 3.0.9
pyrsistent 0.19.2
pytest 7.2.0
python-dateutil 2.8.2
pytz 2022.4
pyzmq 24.0.0
requests 2.28.1
rpm 4.17.0
SciPy 1.8.1
scour 0.38.2
Send2Trash 1.8.0
setuptools 65.6.3
six 1.16.0
sniffio 1.2.0
snowballstemmer 2.2.0
soupsieve 2.3.2.post1
Sphinx 5.3.0
sphinx-rtd-theme 1.1.1
sphinx-thebe 0.1.2
sphinxcontrib-applehelp 1.0.2.dev20220730
sphinxcontrib-devhelp 1.0.2.dev20220730
sphinxcontrib-htmlhelp 2.0.0
sphinxcontrib-jsmath 1.0.1.dev20220730
sphinxcontrib-qthelp 1.0.3.dev20220730
sphinxcontrib-serializinghtml 1.1.5
stack-data 0.6.2
terminado 0.15.0
testtools 2.5.0
tinycss2 1.2.1
tomli 2.0.1
tomlkit 0.11.6
tornado 6.2
traitlets 5.4.0
traittypes 0.2.1
urllib3 1.26.12
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 1.4.2
wheel 0.38.4
widgetsnbextension 4.0.3
zipp 3.11.0 |
|
FYI I'm asuming that those fails are issues of the test suite and not tested code so I've added those units in my build procedure to --deselect list to have working nbase build. |
|
Just FTR 0.12.40 pytest output + PYTHONPATH=/home/tkloczko/rpmbuild/BUILDROOT/python-bqplot-0.12.40-2.fc35.x86_64/usr/lib64/python3.8/site-packages:/home/tkloczko/rpmbuild/BUILDROOT/python-bqplot-0.12.40-2.fc35.x86_64/usr/lib/python3.8/site-packages
+ /usr/bin/pytest -ra -m 'not network'
============================= test session starts ==============================
platform linux -- Python 3.8.17, pytest-7.4.0, pluggy-1.2.0
rootdir: /home/tkloczko/rpmbuild/BUILD/bqplot-0.12.40
configfile: pytest.ini
plugins: anyio-3.7.0, nbval-0.9.6
collected 962 items
examples/Index.ipynb . [ 0%]
examples/Introduction.ipynb ............................... [ 3%]
examples/Advanced Plotting/Advanced Plotting.ipynb .............. [ 4%]
examples/Advanced Plotting/Animations.ipynb ............... [ 6%]
examples/Advanced Plotting/Axis Properties.ipynb ....................... [ 8%]
... [ 9%]
examples/Advanced Plotting/Plotting Dates.ipynb ............... [ 10%]
examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb ..FF [ 11%]
FF [ 11%]
examples/Applications/Mobile Patent Suits.ipynb ... [ 11%]
examples/Applications/Neural Network.ipynb ... [ 11%]
examples/Applications/Outlier Detection.ipynb ......... [ 12%]
examples/Applications/Visualizing the US Elections.ipynb ...F...F.FFF... [ 14%]
.... [ 14%]
examples/Applications/Equity Index Performance/Time Series.ipynb .FF [ 15%]
examples/Applications/Logs Analytics/Logs Dashboard.ipynb ...FFFF...FF [ 16%]
examples/Applications/Wealth Of Nations/Bubble Chart.ipynb ........ [ 17%]
examples/Applications/Wealth Of Nations/Choropleth.ipynb ........ [ 17%]
examples/Basic Plotting/Basic Plotting.ipynb ......... [ 18%]
examples/Basic Plotting/Pyplot.ipynb ................................... [ 22%]
...... [ 23%]
examples/Interactions/Interaction Layer.ipynb .......................... [ 25%]
............................. [ 28%]
examples/Interactions/Mark Interactions.ipynb ..................... [ 31%]
examples/Interactions/Selectors.ipynb ............. [ 32%]
examples/Marks/Object Model/Bars.ipynb ...................... [ 34%]
examples/Marks/Object Model/Bins.ipynb ........... [ 35%]
examples/Marks/Object Model/Boxplot.ipynb ...... [ 36%]
examples/Marks/Object Model/Candles.ipynb .......... [ 37%]
examples/Marks/Object Model/FlexLine.ipynb .... [ 37%]
examples/Marks/Object Model/Graph.ipynb ............. [ 39%]
examples/Marks/Object Model/GridHeatMap.ipynb ................. [ 41%]
examples/Marks/Object Model/HeatMap.ipynb ..... [ 41%]
examples/Marks/Object Model/Hist.ipynb ........... [ 42%]
examples/Marks/Object Model/Image.ipynb ...... [ 43%]
examples/Marks/Object Model/Label.ipynb ........ [ 44%]
examples/Marks/Object Model/Lines.ipynb ............................ [ 47%]
examples/Marks/Object Model/Map.ipynb ........ [ 47%]
examples/Marks/Object Model/Market Map.ipynb ............... [ 49%]
examples/Marks/Object Model/Pie.ipynb ............... [ 51%]
examples/Marks/Object Model/Scatter.ipynb .............................. [ 54%]
......... [ 55%]
examples/Marks/Object Model/ScatterMega.ipynb .......................... [ 57%]
.......... [ 58%]
examples/Marks/Pyplot/Bars.ipynb ................... [ 60%]
examples/Marks/Pyplot/Bins.ipynb ........... [ 61%]
examples/Marks/Pyplot/Boxplot.ipynb ...... [ 62%]
examples/Marks/Pyplot/Candles.ipynb ......... [ 63%]
examples/Marks/Pyplot/GridHeatMap.ipynb ................. [ 65%]
examples/Marks/Pyplot/HeatMap.ipynb ..... [ 65%]
examples/Marks/Pyplot/Hist.ipynb ........... [ 66%]
examples/Marks/Pyplot/Image.ipynb ...... [ 67%]
examples/Marks/Pyplot/Label.ipynb ........ [ 68%]
examples/Marks/Pyplot/Lines.ipynb ........................ [ 70%]
examples/Marks/Pyplot/Map.ipynb ......... [ 71%]
examples/Marks/Pyplot/Pie.ipynb .............. [ 73%]
examples/Marks/Pyplot/Scatter.ipynb .................................... [ 77%]
. [ 77%]
examples/Plotting Widgets/Radar.ipynb ......... [ 78%]
examples/Scales/Color Scales.ipynb ........F........ [ 79%]
examples/Tutorials/Brush Interval Selector.ipynb ...... [ 80%]
examples/Tutorials/Fast Interval Selector.ipynb ...... [ 81%]
examples/Tutorials/Gaussian Density Widget.ipynb ..... [ 81%]
examples/Tutorials/Gaussian Density.ipynb ..... [ 82%]
examples/Tutorials/Linking Plots With Widgets.ipynb ....... [ 82%]
examples/Tutorials/Object Model.ipynb .... [ 83%]
examples/Tutorials/Pyplot.ipynb .... [ 83%]
examples/Tutorials/Updating Plots.ipynb ....... [ 84%]
tests/binary_serialization_test.py ..... [ 84%]
tests/marks_test.py .... [ 85%]
tests/selector_test.py . [ 85%]
ui-tests/tests/notebooks/bars.ipynb ...... [ 86%]
ui-tests/tests/notebooks/bars2d_update.ipynb ........ [ 86%]
ui-tests/tests/notebooks/bars_update.ipynb ......... [ 87%]
ui-tests/tests/notebooks/figure_pyplot.ipynb ... [ 88%]
ui-tests/tests/notebooks/graph.ipynb .. [ 88%]
ui-tests/tests/notebooks/graph_update.ipynb ........ [ 89%]
ui-tests/tests/notebooks/gridheatmap.ipynb ..... [ 89%]
ui-tests/tests/notebooks/gridheatmap_update.ipynb ......... [ 90%]
ui-tests/tests/notebooks/hist_update.ipynb ........ [ 91%]
ui-tests/tests/notebooks/index_selector_update.ipynb .. [ 91%]
ui-tests/tests/notebooks/lines.ipynb .. [ 91%]
ui-tests/tests/notebooks/lines_update.ipynb ............ [ 93%]
ui-tests/tests/notebooks/map.ipynb . [ 93%]
ui-tests/tests/notebooks/ohlc_update.ipynb .......... [ 94%]
ui-tests/tests/notebooks/ordinal_scale.ipynb .... [ 94%]
ui-tests/tests/notebooks/pie_update.ipynb .................... [ 96%]
ui-tests/tests/notebooks/scatter.ipynb .. [ 96%]
ui-tests/tests/notebooks/scatter_update.ipynb ............ [ 98%]
ui-tests/tests/notebooks/scattergl_update.ipynb ............. [ 99%]
ui-tests/tests/notebooks/ticks.ipynb .... [100%]
=================================== FAILURES ===================================
_ examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 2 __
Notebook cell execution failed
Cell 2: Cell execution caused an exception
Input:
import pandas as pd
from sklearn.datasets import load_iris
from sklearn.decomposition import PCA
from sklearn.preprocessing import scale
np.random.seed(42)
digits = load_iris()
data = scale(digits.data)
n_features=4
#n_pca=3
#pca = PCA(n_components=n_pca).fit(data)
df = pd.DataFrame(data, columns=['feature_{}'.format(x) for x in range(n_features)])
df['leaf'] = digits.target
df['extra_info'] = [np.random.randint(100) for x in range(digits.target.shape[0])]
Traceback:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[3], line 2
1 import pandas as pd
----> 2 from sklearn.datasets import load_iris
3 from sklearn.decomposition import PCA
4 from sklearn.preprocessing import scale
ModuleNotFoundError: No module named 'sklearn'
_ examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 3 __
Notebook cell execution failed
Cell 3: Cell execution caused an exception
Input:
feature_vector_distribution(df, 'leaf',
group_columns=['extra_info'],
bins=25,
f_lim = {'min':-3, 'max':3}
)
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[4], line 1
----> 1 feature_vector_distribution(df, 'leaf',
2 group_columns=['extra_info'],
3 bins=25,
4 f_lim = {'min':-3, 'max':3}
5 )
NameError: name 'df' is not defined
_ examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 4 __
Notebook cell execution failed
Cell 4: Cell execution caused an exception
Input:
import numpy as np
import pandas as pd
from sklearn.datasets import load_digits
from sklearn.decomposition import PCA
from sklearn.preprocessing import scale
np.random.seed(42)
digits = load_digits()
data = scale(digits.data)
n_pca=10
pca = PCA(n_components=n_pca).fit(data)
df = pd.DataFrame(pca.transform(data), columns=['pca_{}'.format(x) for x in range(n_pca)])
df['digit'] = digits.target
df['test'] = [np.random.randint(100) for x in range(digits.target.shape[0])]
Traceback:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[5], line 3
1 import numpy as np
2 import pandas as pd
----> 3 from sklearn.datasets import load_digits
4 from sklearn.decomposition import PCA
5 from sklearn.preprocessing import scale
ModuleNotFoundError: No module named 'sklearn'
_ examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 5 __
Notebook cell execution failed
Cell 5: Cell execution caused an exception
Input:
feature_vector_distribution(df, 'digit',
group_columns=['test'],
bins=20,
f_lim = {'min':-7, 'max':7}
)
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[6], line 1
----> 1 feature_vector_distribution(df, 'digit',
2 group_columns=['test'],
3 bins=20,
4 f_lim = {'min':-7, 'max':7}
5 )
NameError: name 'df' is not defined
_______ examples/Applications/Visualizing the US Elections.ipynb::Cell 3 _______
Notebook cell execution failed
Cell 3: Cell execution caused an exception
Input:
try:
from pollster import Pollster
pollster = Pollster()
# Getting data from Pollster. This might take a second.
raw_data = pollster.charts(topic='2016-president')
data = pd.DataFrame(columns=['Name', 'Partisan', 'State', 'Date', 'Trump', 'Clinton', 'Other',
'Undecided'])
for i in raw_data:
analyze_polls(i.polls())
except:
raise ValueError('Please install Pollster and run the functions above')
Traceback:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[4], line 2
1 try:
----> 2 from pollster import Pollster
3 pollster = Pollster()
ModuleNotFoundError: No module named 'pollster'
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
Cell In[4], line 14
12 analyze_polls(i.polls())
13 except:
---> 14 raise ValueError('Please install Pollster and run the functions above')
ValueError: Please install Pollster and run the functions above
_______ examples/Applications/Visualizing the US Elections.ipynb::Cell 7 _______
Notebook cell execution failed
Cell 7: Cell execution caused an exception
Input:
sc_geo = AlbersUSA()
sc_c1 = OrdinalColorScale(domain=['Democrat', 'Republican'], colors=['#2aa1ec', '#E91D0E'])
color_data = get_color_data()
map_styles = {'color': color_data,
'scales': {'projection': sc_geo, 'color': sc_c1}, 'colors': {'default_color': 'Grey'}}
axis = ColorAxis(scale=sc_c1)
states_map = Map(map_data=topo_load('map_data/USStatesMap.json'), tooltip=ts_fig, **map_styles)
map_fig = Figure(marks=[states_map], axes=[axis],title='General Election Polls - State Wise')
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[8], line 4
1 sc_geo = AlbersUSA()
2 sc_c1 = OrdinalColorScale(domain=['Democrat', 'Republican'], colors=['#2aa1ec', '#E91D0E'])
----> 4 color_data = get_color_data()
6 map_styles = {'color': color_data,
7 'scales': {'projection': sc_geo, 'color': sc_c1}, 'colors': {'default_color': 'Grey'}}
9 axis = ColorAxis(scale=sc_c1)
Cell In[5], line 16, in get_color_data()
14 color_data = {}
15 for i in codes['FIPS']:
---> 16 color_data[i] = get_state_party(i)
17 return color_data
Cell In[5], line 3, in get_state_party(code)
1 def get_state_party(code):
2 state = codes[codes['FIPS']==code]['USPS'].values[0]
----> 3 if data[data['State']==state].shape[0] == 0:
4 return None
5 polls = data[(data['State']==state) & (data['Trump'] > 0.) & (data['Clinton'] > 0.)].sort_values(by='Date')
NameError: name 'data' is not defined
_______ examples/Applications/Visualizing the US Elections.ipynb::Cell 9 _______
Notebook cell execution failed
Cell 9: Cell execution caused an exception
Input:
states_map.on_hover(hover_callback)
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[10], line 1
----> 1 states_map.on_hover(hover_callback)
NameError: name 'states_map' is not defined
______ examples/Applications/Visualizing the US Elections.ipynb::Cell 10 _______
Notebook cell execution failed
Cell 10: Cell execution caused an exception
Input:
national = data[(data['State']=='US') & (data['Trump'] > 0.) & (data['Clinton'] > 0.)].sort_values(by='Date')
dt_x = DateScale()
sc_y = LinearScale()
clinton_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Clinton'],
scales={'x': dt_x, 'y': sc_y},
colors=['#2aa1ec'])
trump_scatter = Scatter(x=national['Date'].values.astype(np.datetime64), y=national['Trump'],
scales={'x': dt_x, 'y': sc_y},
colors=['#E91D0E'])
ax_x = Axis(scale=dt_x, label='Date', tick_format='%b-%Y', num_ticks=8)
ax_y = Axis(scale=sc_y, orientation='vertical', label='Percentage')
scat_fig = Figure(marks=[clinton_scatter, trump_scatter], axes=[ax_x, ax_y], title='General Election - National Polls')
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[11], line 1
----> 1 national = data[(data['State']=='US') & (data['Trump'] > 0.) & (data['Clinton'] > 0.)].sort_values(by='Date')
3 dt_x = DateScale()
4 sc_y = LinearScale()
NameError: name 'data' is not defined
______ examples/Applications/Visualizing the US Elections.ipynb::Cell 11 _______
Notebook cell execution failed
Cell 11: Cell execution caused an exception
Input:
VBox([map_fig, scat_fig])
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[12], line 1
----> 1 VBox([map_fig, scat_fig])
NameError: name 'map_fig' is not defined
___ examples/Applications/Equity Index Performance/Time Series.ipynb::Cell 1 ___
Notebook cell execution failed
Cell 1: Cell execution caused an exception
Input:
format_date = lambda d: d.strftime('%m/%d/%Y')
spx_prices = pd.read_csv('spx_prices.csv', index_col=0, parse_dates=True, squeeze=True)
log_returns = np.log(spx_prices / spx_prices.shift(1))
dates = spx_prices.index
Traceback:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[2], line 3
1 format_date = lambda d: d.strftime('%m/%d/%Y')
----> 3 spx_prices = pd.read_csv('spx_prices.csv', index_col=0, parse_dates=True, squeeze=True)
4 log_returns = np.log(spx_prices / spx_prices.shift(1))
5 dates = spx_prices.index
TypeError: read_csv() got an unexpected keyword argument 'squeeze'
___ examples/Applications/Equity Index Performance/Time Series.ipynb::Cell 2 ___
Notebook cell execution failed
Cell 2: Cell execution caused an exception
Input:
fig_title_tmpl = 'S&P Index Prices (from {start} to {end})'
fig_title = fig_title_tmpl.format(start=format_date(dates[0]),
end=format_date(dates[-1]))
time_series_fig = plt.figure(title=fig_title,
layout=widgets.Layout(width='1300px', height='500px'))
plt.scales(scales={'x': DateScale()})
axes_options = {'y': {'tick_format': ','}}
time_series = plt.plot(dates, spx_prices, colors=['dodgerblue'],
stroke_width=1.5, axes_options=axes_options)
return_label = plt.label([], x=[], y=[spx_prices.max() * .9],
align='middle', default_size=36,
font_weight='bolder', colors=['green'])
trend_line = plt.plot([], [])
intsel = FastIntervalSelector(scale=time_series.scales['x'], marks=[time_series])
time_series_fig.interaction = intsel
hist_fig = plt.figure(title='Histogram Of Returns',
layout=widgets.Layout(width='900px',
height='450px',
margin='0px 150px 0px 150px'))
plt.scales(scales={'x': LinearScale(min=-.1, max=.1)})
hist = plt.hist(log_returns, colors=['salmon'], bins=75)
for axis in hist_fig.axes:
axis.grid_lines = 'none'
if axis.orientation != 'vertical':
axis.tick_format = '.0%'
def update_hist(*args):
selected_ix = time_series.selected
if selected_ix is not None:
s, e = selected_ix[0], selected_ix[-1]
spx_prices_slice = spx_prices[s:e]
pct_return = spx_prices[e] / spx_prices[s] - 1
# update the position of the total return label
with return_label.hold_sync():
return_label.text = ['{:.0%}'.format(pct_return)]
return_label.x = [time_series.x[(s + e) // 2]]
return_label.colors = ['red'] if pct_return < 0. else ['green']
time_series_fig.title = fig_title_tmpl.format(start=format_date(dates[s]),
end=format_date(dates[e]))
# update hist with returns
hist.sample = np.log(spx_prices_slice / spx_prices_slice.shift(1))
time_series.observe(update_hist, 'selected')
widgets.VBox([time_series_fig, hist_fig])
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[3], line 2
1 fig_title_tmpl = 'S&P Index Prices (from {start} to {end})'
----> 2 fig_title = fig_title_tmpl.format(start=format_date(dates[0]),
3 end=format_date(dates[-1]))
4 time_series_fig = plt.figure(title=fig_title,
5 layout=widgets.Layout(width='1300px', height='500px'))
7 plt.scales(scales={'x': DateScale()})
NameError: name 'dates' is not defined
______ examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 3 _______
Notebook cell execution failed
Cell 3: Cell execution caused an exception
Input:
# load data into pandas and do some munging
log_data = pd.read_csv('access.log', sep=' ', header=None)
log_data.drop([1, 2], axis=1, inplace=True)
log_data.columns = ['ip_address', 'timestamp', 'request', 'status', 'col1', 'url', 'agent', 'col2']
log_data.index = pd.to_datetime(log_data['timestamp'].str.replace('[\[\]]', ''),
format='%d/%b/%Y:%H:%M:%S')
log_data.drop('timestamp', axis=1, inplace=True)
# add extra columns for easy querying
log_data['status_code'] = log_data['status'].map(get_status_code)
log_data['category'] = log_data['request'].str.extract('categoryId=(.*)&', expand=False)
log_data['product'] = log_data['request'].str.extract('productId=(.*)&', expand=False)
log_data['hour'] = log_data.index.map(lambda x: x.hour)
log_data['day'] = log_data.index.strftime('%Y-%m-%d')
Traceback:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[4], line 6
3 log_data.drop([1, 2], axis=1, inplace=True)
4 log_data.columns = ['ip_address', 'timestamp', 'request', 'status', 'col1', 'url', 'agent', 'col2']
----> 6 log_data.index = pd.to_datetime(log_data['timestamp'].str.replace('[\[\]]', ''),
7 format='%d/%b/%Y:%H:%M:%S')
8 log_data.drop('timestamp', axis=1, inplace=True)
10 # add extra columns for easy querying
File /usr/lib64/python3.8/site-packages/pandas/core/tools/datetimes.py:1046, in to_datetime(arg, errors, dayfirst, yearfirst, utc, format, exact, unit, infer_datetime_format, origin, cache)
1044 result = arg.tz_localize("utc")
1045 elif isinstance(arg, ABCSeries):
-> 1046 cache_array = _maybe_cache(arg, format, cache, convert_listlike)
1047 if not cache_array.empty:
1048 result = arg.map(cache_array)
File /usr/lib64/python3.8/site-packages/pandas/core/tools/datetimes.py:250, in _maybe_cache(arg, format, cache, convert_listlike)
248 unique_dates = unique(arg)
249 if len(unique_dates) < len(arg):
--> 250 cache_dates = convert_listlike(unique_dates, format)
251 # GH#45319
252 try:
File /usr/lib64/python3.8/site-packages/pandas/core/tools/datetimes.py:453, in _convert_listlike_datetimes(arg, format, name, utc, unit, errors, dayfirst, yearfirst, exact)
451 # `format` could be inferred, or user didn't ask for mixed-format parsing.
452 if format is not None and format != "mixed":
--> 453 return _array_strptime_with_fallback(arg, name, utc, format, exact, errors)
455 result, tz_parsed = objects_to_datetime64ns(
456 arg,
457 dayfirst=dayfirst,
(...)
461 allow_object=True,
462 )
464 if tz_parsed is not None:
465 # We can take a shortcut since the datetime64 numpy array
466 # is in UTC
File /usr/lib64/python3.8/site-packages/pandas/core/tools/datetimes.py:484, in _array_strptime_with_fallback(arg, name, utc, fmt, exact, errors)
473 def _array_strptime_with_fallback(
474 arg,
475 name,
(...)
479 errors: str,
480 ) -> Index:
481 """
482 Call array_strptime, with fallback behavior depending on 'errors'.
483 """
--> 484 result, timezones = array_strptime(arg, fmt, exact=exact, errors=errors, utc=utc)
485 if any(tz is not None for tz in timezones):
486 return _return_parsed_timezone_results(result, timezones, utc, name)
File /usr/lib64/python3.8/site-packages/pandas/_libs/tslibs/strptime.pyx:530, in pandas._libs.tslibs.strptime.array_strptime()
File /usr/lib64/python3.8/site-packages/pandas/_libs/tslibs/strptime.pyx:351, in pandas._libs.tslibs.strptime.array_strptime()
ValueError: time data "[16/Oct/2018:18:22:16]" doesn't match format "%d/%b/%Y:%H:%M:%S", at position 0. You might want to try:
- passing `format` if your strings have a consistent format;
- passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;
- passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this.
______ examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 4 _______
Notebook cell execution failed
Cell 4: Cell execution caused an exception
Input:
all_days = log_data['day'].value_counts().index
all_hours = np.arange(24)
all_categories = list(log_data['category'].value_counts().index)
all_products = list(log_data['product'].value_counts().index)
all_status_codes = list(log_data['status_code'].value_counts().index)
category_colors = dict(zip(all_categories, bq.CATEGORY10))
status_label_colors = dict([('SUCCESS', '#006d2c'),
('CLIENT ERROR', '#fc8d59'),
('SERVER ERROR', '#a63603')])
Traceback:
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
File /usr/lib64/python3.8/site-packages/pandas/core/indexes/base.py:3653, in Index.get_loc(self, key)
3652 try:
-> 3653 return self._engine.get_loc(casted_key)
3654 except KeyError as err:
File /usr/lib64/python3.8/site-packages/pandas/_libs/index.pyx:147, in pandas._libs.index.IndexEngine.get_loc()
File /usr/lib64/python3.8/site-packages/pandas/_libs/index.pyx:176, in pandas._libs.index.IndexEngine.get_loc()
File pandas/_libs/hashtable_class_helper.pxi:7080, in pandas._libs.hashtable.PyObjectHashTable.get_item()
File pandas/_libs/hashtable_class_helper.pxi:7088, in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: 'day'
The above exception was the direct cause of the following exception:
KeyError Traceback (most recent call last)
Cell In[5], line 1
----> 1 all_days = log_data['day'].value_counts().index
2 all_hours = np.arange(24)
3 all_categories = list(log_data['category'].value_counts().index)
File /usr/lib64/python3.8/site-packages/pandas/core/frame.py:3761, in DataFrame.__getitem__(self, key)
3759 if self.columns.nlevels > 1:
3760 return self._getitem_multilevel(key)
-> 3761 indexer = self.columns.get_loc(key)
3762 if is_integer(indexer):
3763 indexer = [indexer]
File /usr/lib64/python3.8/site-packages/pandas/core/indexes/base.py:3655, in Index.get_loc(self, key)
3653 return self._engine.get_loc(casted_key)
3654 except KeyError as err:
-> 3655 raise KeyError(key) from err
3656 except TypeError:
3657 # If we have a listlike key, _check_indexing_error will raise
3658 # InvalidIndexError. Otherwise we fall through and re-raise
3659 # the TypeError.
3660 self._check_indexing_error(key)
KeyError: 'day'
______ examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 5 _______
Notebook cell execution failed
Cell 5: Cell execution caused an exception
Input:
# daily events bar chart
daily_events_fig = plt.figure(title='Daily Events',
animation_duration=1000,
layout=widgets.Layout(width='900px', height='500px'))
plt.scales(scales={'x': bq.DateScale()})
# intsel = BrushIntervalSelector(scale=, marks=[hist])
bar_axes_options = {'x': {'grid_lines': 'none'},
'y': {'tick_format': ','}}
common_bar_options = dict(interactions={'click': 'select'},
selected_style={'stroke': 'Red',
'stroke-width': 4},
axes_options=bar_axes_options)
daily_events_bar = plt.bar(pd.to_datetime(all_days), [],
colors=['dodgerblue'],
opacities=[.8] * len(all_days),
**common_bar_options)
num_days = len(all_days)
filtered_daily_events_bar = plt.bar(pd.to_datetime(all_days),
np.zeros(num_days),
colors=['lightgreen'],
opacities=[.8] * num_days,
axes_options=bar_axes_options)
# hourly events line chart
hourly_events_fig = plt.figure(title='Hourly Events',
animation_duration=1000,
layout=widgets.Layout(width='600px', height='500px'))
plt.scales(scales={'x': bq.OrdinalScale()})
hourly_events_bar = plt.bar(all_hours,[],
colors=['goldenrod'],
opacities=[.8] * 24,
padding=.2,
**common_bar_options)
filtered_hourly_events_bar = plt.bar(all_hours, [],
colors=['lightgreen'],
opacities=[.8] * 24,
padding=.2,
axes_options=bar_axes_options)
products_fig = plt.figure(title='Events By Product',
animation_duration=1000,
fig_margin=dict(top=60, bottom=20, left=100, right=40),
layout=widgets.Layout(width='550px', height='500px'))
products_bar = plt.bar(all_products, [],
colors=['salmon'],
orientation='horizontal',
opacities=[.8] * len(all_products),
padding=.2,
**common_bar_options)
common_pie_args = dict(display_labels='outside',
interactions={'click': 'select'},
selected_style={'stroke': 'white',
'stroke-width': 3},
inner_radius=80,
apply_clip=False)
# categories pie chart
categories_fig = plt.figure(title='Events By Category', animation_duration=1000,
layout=widgets.Layout(width='550px', height='500px'))
categories_pie = plt.pie([], labels=all_categories, **common_pie_args)
# status codes pie chart
status_codes_fig = plt.figure(title='Events By Status', animation_duration=1000,
layout=widgets.Layout(width='550px', height='500px'))
status_codes_pie = plt.pie([], labels=all_status_codes, **common_pie_args)
# buttons for updating and resetting filters
update_btn = widgets.Button(description='Update', button_style='Success')
reset_btn = widgets.Button(description='Reset', button_style='Success')
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[6], line 15
9 bar_axes_options = {'x': {'grid_lines': 'none'},
10 'y': {'tick_format': ','}}
11 common_bar_options = dict(interactions={'click': 'select'},
12 selected_style={'stroke': 'Red',
13 'stroke-width': 4},
14 axes_options=bar_axes_options)
---> 15 daily_events_bar = plt.bar(pd.to_datetime(all_days), [],
16 colors=['dodgerblue'],
17 opacities=[.8] * len(all_days),
18 **common_bar_options)
20 num_days = len(all_days)
21 filtered_daily_events_bar = plt.bar(pd.to_datetime(all_days),
22 np.zeros(num_days),
23 colors=['lightgreen'],
24 opacities=[.8] * num_days,
25 axes_options=bar_axes_options)
NameError: name 'all_days' is not defined
______ examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 6 _______
Notebook cell execution failed
Cell 6: Cell execution caused an exception
Input:
fields = ['day', 'hour', 'product', 'category', 'status_code']
field_vals = [all_days, all_hours, all_products, all_categories, all_status_codes]
plots = [daily_events_bar, hourly_events_bar, products_bar, categories_pie, status_codes_pie]
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[7], line 2
1 fields = ['day', 'hour', 'product', 'category', 'status_code']
----> 2 field_vals = [all_days, all_hours, all_products, all_categories, all_status_codes]
3 plots = [daily_events_bar, hourly_events_bar, products_bar, categories_pie, status_codes_pie]
NameError: name 'all_days' is not defined
______ examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 10 ______
Notebook cell execution failed
Cell 10: Cell execution caused an exception
Input:
def reset_filters(*args):
for plot in plots:
plot.selected = None
update_plots(None)
update_btn.on_click(lambda btn: update_plots(None))
reset_btn.on_click(lambda btn: reset_filters())
btns_layout = widgets.VBox([update_btn, reset_btn], layout=widgets.Layout(overflow_x='hidden'))
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[11], line 6
3 plot.selected = None
4 update_plots(None)
----> 6 update_btn.on_click(lambda btn: update_plots(None))
7 reset_btn.on_click(lambda btn: reset_filters())
8 btns_layout = widgets.VBox([update_btn, reset_btn], layout=widgets.Layout(overflow_x='hidden'))
NameError: name 'update_btn' is not defined
______ examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 11 ______
Notebook cell execution failed
Cell 11: Cell execution caused an exception
Input:
update_plots(None)
parent_plots = widgets.HBox([daily_events_fig, hourly_events_fig])
child_plots = widgets.HBox([products_fig, categories_fig, status_codes_fig])
widgets.VBox([widgets.HBox([parent_plots, btns_layout]),child_plots])
Traceback:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[12], line 1
----> 1 update_plots(None)
3 parent_plots = widgets.HBox([daily_events_fig, hourly_events_fig])
4 child_plots = widgets.HBox([products_fig, categories_fig, status_codes_fig])
Cell In[10], line 3, in update_plots(*args)
1 def update_plots(*args):
2 global filters, filtered_log_data
----> 3 filters = generate_filters()
4 filtered_log_data = apply_filters(log_data, filters)
6 daily_events = filtered_log_data\
7 .resample('D')\
8 .count()['status_code']\
9 .reindex(pd.to_datetime(all_days))\
10 .fillna(0)
Cell In[8], line 3, in generate_filters()
1 def generate_filters():
2 filters_dict = {}
----> 3 for field, field_val, plot in zip(fields, field_vals, plots):
4 if plot.selected:
5 selected_vals = [field_val[i] for i in plot.selected]
NameError: name 'field_vals' is not defined
__________________ examples/Scales/Color Scales.ipynb::Cell 8 __________________
Notebook cell execution failed
Cell 8: Cell execution caused an exception
Input:
date_col_sc.min = pd.datetime(2016, 2, 28)
Traceback:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[9], line 1
----> 1 date_col_sc.min = pd.datetime(2016, 2, 28)
AttributeError: module 'pandas' has no attribute 'datetime'
=============================== warnings summary ===============================
../../../../../usr/lib/python3.8/site-packages/traitlets/traitlets.py:1016: 151 warnings
/usr/lib/python3.8/site-packages/traitlets/traitlets.py:1016: DeprecationWarning: Widget._active_widgets is deprecated.
value = getattr(cls, name)
../../../../../usr/lib/python3.8/site-packages/traitlets/traitlets.py:1016: 151 warnings
/usr/lib/python3.8/site-packages/traitlets/traitlets.py:1016: DeprecationWarning: Widget._widget_types is deprecated.
value = getattr(cls, name)
../../../../../usr/lib/python3.8/site-packages/traitlets/traitlets.py:1016: 151 warnings
/usr/lib/python3.8/site-packages/traitlets/traitlets.py:1016: DeprecationWarning: Widget.widget_types is deprecated.
value = getattr(cls, name)
../../../../../usr/lib/python3.8/site-packages/traitlets/traitlets.py:1016: 151 warnings
/usr/lib/python3.8/site-packages/traitlets/traitlets.py:1016: DeprecationWarning: Widget.widgets is deprecated.
value = getattr(cls, name)
bqplot/plotting_widgets.py:30
/home/tkloczko/rpmbuild/BUILD/bqplot-0.12.40/bqplot/plotting_widgets.py:30: DeprecationWarning: metadata {'dtype': None} was set from the constructor. With traitlets 4.1, metadata should be set using the .tag() method, e.g., Int().tag(key1='value1', key2='value2')
data = DataFrame()
../../../../../usr/lib/python3.8/site-packages/_pytest/nodes.py:644: 82 warnings
/usr/lib/python3.8/site-packages/_pytest/nodes.py:644: PytestRemovedIn8Warning: The (fspath: py.path.local) argument to IPyNbFile is deprecated. Please use the (path: pathlib.Path) argument instead.
See https://docs.pytest.org/en/latest/deprecations.html#fspath-argument-for-node-constructors-replaced-with-pathlib-path
return super().from_parent(parent=parent, fspath=fspath, path=path, **kw)
tests/binary_serialization_test.py: 11 warnings
tests/marks_test.py: 18 warnings
tests/selector_test.py: 1 warning
/usr/lib/python3.8/site-packages/ipywidgets/widgets/widget.py:528: DeprecationWarning: The `ipykernel.comm.Comm` class has been deprecated. Please use the `comm` module instead.For creating comms, use the function `from comm import create_comm`.
self.comm = Comm(**args)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
FAILED examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 2
FAILED examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 3
FAILED examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 4
FAILED examples/Applications/Feature_Vector_Distribution-Iris-Digits.ipynb::Cell 5
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 3
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 7
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 9
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 10
FAILED examples/Applications/Visualizing the US Elections.ipynb::Cell 11
FAILED examples/Applications/Equity Index Performance/Time Series.ipynb::Cell 1
FAILED examples/Applications/Equity Index Performance/Time Series.ipynb::Cell 2
FAILED examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 3
FAILED examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 4
FAILED examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 5
FAILED examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 6
FAILED examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 10
FAILED examples/Applications/Logs Analytics/Logs Dashboard.ipynb::Cell 11
FAILED examples/Scales/Color Scales.ipynb::Cell 8
=========== 18 failed, 944 passed, 717 warnings in 197.84s (0:03:17) =========== |
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I'm packaging your module as an rpm package so I'm using the typical PEP517 based build, install and test cycle used on building packages from non-root account.
python3 -sBm build -w --no-isolationbuildwith--no-isolationI'm using during all processes only locally installed modulesHere is pytest output:
Here list of modules installed in build env
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