Notebooks Coverage

Report on last executions.

68% 2021-03-26

index	coverage	exe time	last execution	name	title	success	time	nb cells	nb runs	nb valid
0	0%	nan		centrale/azure_pig.ipynb	HDInsight, PIG		nan	35	0
1	100%	0.125	2021-02-26	centrale/centrale_201606.ipynb	Big Data, Azure, Machine Learning, Python	True	3.147	2	2	2
2	100%	0.133	2021-02-26	centrale/centrale_201606_sysrec.ipynb	Recommandations sur le web	True	3.146	1	1	1
3	100%	0.889	2021-02-26	ensae/2017_1a_ensae_nocture.ipynb	ENSAE 1A : nocturne	True	4.072	10	10	10
4	0%	nan		ensae/introcode.ipynb	Leçon de code		nan	90	0
5	100%	1.760	2021-02-26	ensae/kaggle_review_2016.ipynb	Revue de compétitions Kaggle (2016)	True	4.783	2	2	2
6	100%	1.775	2021-02-26	ensae/kaggle_review_2017.ipynb	Revue de compétitions Kaggle (2017)	True	4.856	2	2	2
7	0%	nan		ensae_api/sklearn_api.ipynb	API de sciki-learn et modèles customisés		nan	78	0
8	100%	17.611	2021-02-26	meshs/automation_finance_trading.ipynb	Les algorithmes, outils de décision automatique.	True	20.777	10	10	10
9	100%	925.445	2021-02-26	msexp/onnx_deploy.ipynb	Deploy machine learned models with ONNX	True	929.054	82	82	82
10	100%	96.943	2021-02-26	pydata/10_plotting_libraries.ipynb	10 plotting libraries	True	100.747	16	16	16
11	100%	80.299	2021-02-26	pydata/big_datashader.ipynb	datashader	True	84.168	28	28	28
12	80%	2.164	2021-02-26	pydata/gui_geoplotlib.ipynb	geoplotlib	True	5.204	5	4	4
13	100%	2.290	2021-03-26	pydata/im_biopython.ipynb	biopython	True	4.846	6	6	6
14	100%	17.556	2021-03-26	pydata/im_cartopy.ipynb	cartopy	True	20.114	4	4	4
15	100%	1.711	2021-02-26	pydata/im_ete3.ipynb	ete3	True	4.774	11	11	11
16	100%	10.012	2021-03-26	pydata/im_lifelines.ipynb	lifelines	True	12.583	7	7	7
17	90%	5.119	2021-03-26	pydata/im_matplotlib.ipynb	matplotlib	True	7.715	11	10	10
18	100%	21.225	2021-03-26	pydata/im_missingno.ipynb	missingno	True	23.810	13	13	13
19	100%	24.041	2021-03-26	pydata/im_mpl_scatter_density.ipynb	mpl-scatter-density	True	26.597	5	5	5
20	100%	4.108	2021-03-26	pydata/im_networkx.ipynb	networkx	True	6.636	4	4	4
21	100%	23.805	2021-03-26	pydata/im_plotnine.ipynb	plotnine	True	26.370	9	9	9
22	100%	1.215	2021-03-26	pydata/im_reportlab.ipynb	reportlab	True	3.775	4	4	4
23	100%	5.773	2021-03-26	pydata/im_scikit_plot.ipynb	scikit-plot	True	8.328	5	5	5
24	100%	20.503	2021-03-26	pydata/im_seaborn.ipynb	seaborn	True	23.058	5	5	5
25	100%	4.849	2021-03-26	pydata/js_bokeh.ipynb	bokeh	True	7.441	7	7	7
26	50%	0.125	2021-02-26	pydata/js_lightning_python.ipynb	lightning-python	True	3.254	4	2	2
27	0%	nan		pydata/js_mpld3.ipynb	mpld3		nan	17	0
28	100%	10.418	2021-03-26	pydata/js_plotly.ipynb	plotly	True	13.142	9	9	9
29	100%	9.631	2021-03-26	pydata/js_pydy_mass_spring_damper.ipynb	pydy	True	12.364	32	32	32
30	85%	2.245	2021-03-26	pydata/js_pyecharts.ipynb	pyecharts	True	4.794	7	6	6
31	100%	3.213	2021-03-26	pydata/js_pygal.ipynb	pygal	True	5.846	7	7	7
32	100%	3.700	2021-03-26	pydata/js_pythreejs.ipynb	pythreejs	True	6.902	5	5	5
33	100%	1.501	2021-03-26	pydata/js_vega.ipynb	vega	True	4.063	6	6	6
34	100%	0.733	2021-03-26	pydata/jsonly_treant.ipynb	treant-js	True	3.413	7	7	7
35	100%	6.293	2021-03-26	pydata/pyjs_bqplot.ipynb	bqplot	True	12.505	19	19	19
36	100%	1.731	2021-03-26	pydata/pyjs_brython.ipynb	brython, brythonmagic	True	4.312	18	18	18
37	100%	1.407	2021-02-26	pydata/pyjsc_vispy.ipynb	vispy	True	4.487	8	8	8
38	100%	594.843	2021-02-26	pyparis/onnx_deploy_pyparis.ipynb	Deploy machine learned models with ONNX	True	598.143	38	38	38
39	100%	61.117	2021-03-26	sklearn/onnx_sklearn_consortium.ipynb	ONNX, scikit-learn, persistence, deployment	True	63.888	47	47	47
40	100%	10.545	2021-03-26	sklearn/onnx_sklearn_custom.ipynb	Convert custom transformer into ONNX	True	13.145	17	17	17

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