.. _l-notebooks-coverage: Notebooks Coverage ================== Report on last executions. 24% 2023-06-26 .. image:: nbcov-2023-06-26.png .. list-table:: :widths: auto :header-rows: 1 * - index - coverage - exe time - last execution - name - title - success - time - nb cells - nb runs - nb valid * - **0** - 0% - nan - - :ref:`actuaires/introprogpy.ipynb ` - :ref:`introprogpyrst` - - nan - 67 - 0 - * - **1** - 0% - nan - - :ref:`centrale/azure_pig.ipynb ` - :ref:`azurepigrst` - - nan - 35 - 0 - * - **2** - 0% - nan - - :ref:`centrale/centrale_201606.ipynb ` - :ref:`centrale201606rst` - - nan - 11 - 0 - * - **3** - 0% - nan - - :ref:`centrale/centrale_201606_sysrec.ipynb ` - :ref:`centrale201606sysrecrst` - - nan - 17 - 0 - * - **4** - 0% - nan - - :ref:`ensae/2017_1a_ensae_nocture.ipynb <20171aensaenocturerst>` - :ref:`20171aensaenocturerst` - - nan - 35 - 0 - * - **5** - 0% - nan - - :ref:`ensae/introcode.ipynb ` - :ref:`introcoderst` - - nan - 90 - 0 - * - **6** - 0% - nan - - :ref:`ensae/kaggle_review_2016.ipynb ` - :ref:`kagglereview2016rst` - - nan - 21 - 0 - * - **7** - 0% - nan - - :ref:`ensae/kaggle_review_2017.ipynb ` - :ref:`kagglereview2017rst` - - nan - 19 - 0 - * - **8** - 0% - nan - - :ref:`ensae_api/sklearn_api.ipynb ` - :ref:`sklearnapirst` - - nan - 78 - 0 - * - **9** - 0% - nan - - :ref:`meshs/automation_finance_trading.ipynb ` - :ref:`automationfinancetradingrst` - - nan - 42 - 0 - * - **10** - 0% - nan - - :ref:`msexp/onnx_deploy.ipynb ` - :ref:`onnxdeployrst` - - nan - 130 - 0 - * - **11** - 0% - nan - - :ref:`pydata/10_plotting_libraries.ipynb <10plottinglibrariesrst>` - :ref:`10plottinglibrariesrst` - - nan - 84 - 0 - * - **12** - 0% - nan - - :ref:`pydata/big_datashader.ipynb ` - :ref:`bigdatashaderrst` - - nan - 35 - 0 - * - **13** - 0% - nan - - :ref:`pydata/gui_geoplotlib.ipynb ` - :ref:`guigeoplotlibrst` - - nan - 8 - 0 - * - **14** - 100% - 2.031 - 2023-06-26 - :ref:`pydata/im_biopython.ipynb ` - :ref:`imbiopythonrst` - True - 5.758 - 6 - 6 - 6 * - **15** - 100% - 9.464 - 2023-06-26 - :ref:`pydata/im_cartopy.ipynb ` - :ref:`imcartopyrst` - True - 12.980 - 4 - 4 - 4 * - **16** - 0% - nan - - :ref:`pydata/im_ete3.ipynb ` - :ref:`imete3rst` - - nan - 14 - 0 - * - **17** - 100% - 14.344 - 2023-06-26 - :ref:`pydata/im_lifelines.ipynb ` - :ref:`imlifelinesrst` - True - 17.892 - 7 - 7 - 7 * - **18** - 90% - 4.449 - 2023-06-26 - :ref:`pydata/im_matplotlib.ipynb ` - :ref:`immatplotlibrst` - True - 7.964 - 11 - 10 - 10 * - **19** - 100% - 20.346 - 2023-06-26 - :ref:`pydata/im_missingno.ipynb ` - :ref:`immissingnorst` - True - 23.870 - 13 - 13 - 13 * - **20** - 100% - 13.722 - 2023-06-26 - :ref:`pydata/im_mpl_scatter_density.ipynb ` - :ref:`immplscatterdensityrst` - True - 17.288 - 5 - 5 - 5 * - **21** - 100% - 4.431 - 2023-06-26 - :ref:`pydata/im_networkx.ipynb ` - :ref:`imnetworkxrst` - True - 7.951 - 4 - 4 - 4 * - **22** - 100% - 15.096 - 2023-06-26 - :ref:`pydata/im_plotnine.ipynb ` - :ref:`implotninerst` - True - 18.644 - 9 - 9 - 9 * - **23** - 100% - 1.013 - 2023-06-26 - :ref:`pydata/im_reportlab.ipynb ` - :ref:`imreportlabrst` - True - 4.516 - 4 - 4 - 4 * - **24** - 100% - 5.197 - 2023-06-26 - :ref:`pydata/im_scikit_plot.ipynb ` - :ref:`imscikitplotrst` - True - 8.694 - 5 - 5 - 5 * - **25** - 100% - 23.350 - 2023-06-26 - :ref:`pydata/im_seaborn.ipynb ` - :ref:`imseabornrst` - True - 26.954 - 5 - 5 - 5 * - **26** - 100% - 9.966 - 2023-06-26 - :ref:`pydata/js_bokeh.ipynb ` - :ref:`jsbokehrst` - True - 13.491 - 7 - 7 - 7 * - **27** - 0% - nan - - :ref:`pydata/js_lightning_python.ipynb ` - :ref:`jslightningpythonrst` - - nan - 9 - 0 - * - **28** - 0% - nan - - :ref:`pydata/js_mpld3.ipynb ` - :ref:`jsmpld3rst` - - nan - 17 - 0 - * - **29** - 100% - 11.003 - 2023-06-26 - :ref:`pydata/js_plotly.ipynb ` - :ref:`jsplotlyrst` - True - 14.781 - 9 - 9 - 9 * - **30** - 100% - 14.146 - 2023-06-26 - :ref:`pydata/js_pydy_mass_spring_damper.ipynb ` - :ref:`jspydymassspringdamperrst` - True - 17.712 - 32 - 32 - 32 * - **31** - 85% - 3.655 - 2023-06-26 - :ref:`pydata/js_pyecharts.ipynb ` - :ref:`jspyechartsrst` - True - 7.270 - 7 - 6 - 6 * - **32** - 100% - 1.518 - 2023-06-26 - :ref:`pydata/js_pygal.ipynb ` - :ref:`jspygalrst` - True - 5.205 - 7 - 7 - 7 * - **33** - 100% - 3.131 - 2023-06-26 - :ref:`pydata/js_pythreejs.ipynb ` - :ref:`jspythreejsrst` - True - 7.167 - 5 - 5 - 5 * - **34** - 100% - 1.393 - 2023-06-26 - :ref:`pydata/js_vega.ipynb ` - :ref:`jsvegarst` - True - 4.942 - 6 - 6 - 6 * - **35** - 100% - 0.736 - 2023-06-26 - :ref:`pydata/jsonly_treant.ipynb ` - :ref:`jsonlytreantrst` - True - 4.657 - 7 - 7 - 7 * - **36** - 100% - 5.377 - 2023-06-26 - :ref:`pydata/pyjs_bqplot.ipynb ` - :ref:`pyjsbqplotrst` - True - 11.655 - 19 - 19 - 19 * - **37** - 100% - 1.704 - 2023-06-26 - :ref:`pydata/pyjs_brython.ipynb ` - :ref:`pyjsbrythonrst` - True - 5.282 - 18 - 18 - 18 * - **38** - 0% - nan - - :ref:`pydata/pyjsc_vispy.ipynb ` - :ref:`pyjscvispyrst` - - nan - 11 - 0 - * - **39** - 0% - nan - - :ref:`pyparis/onnx_deploy_pyparis.ipynb ` - :ref:`onnxdeploypyparisrst` - - nan - 70 - 0 - * - **40** - 100% - 57.515 - 2023-06-26 - :ref:`sklearn/onnx_sklearn_consortium.ipynb ` - :ref:`onnxsklearnconsortiumrst` - True - 61.211 - 47 - 47 - 47 * - **41** - 100% - 9.230 - 2023-06-26 - :ref:`sklearn/onnx_sklearn_custom.ipynb ` - :ref:`onnxsklearncustomrst` - True - 12.880 - 17 - 17 - 17 .. image:: nbcov.png