Notebooks Coverage¶

Report on last executions.

87% 2019-04-14

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%	0.114	2019-04-14	centrale/centrale_201606.ipynb	Big Data, Azure, Machine Learning, Python	True	2.040	2	2	2
2	100%	0.096	2019-04-14	centrale/centrale_201606_sysrec.ipynb	Recommandations sur le web	True	2.040	1	1	1
3	100%	1.476	2019-04-14	ensae/2017_1a_ensae_nocture.ipynb	ENSAE 1A : nocturne	True	4.465	10	10	10
4	100%	0.351	2019-04-14	ensae/kaggle_review_2016.ipynb	Revue de compétitions Kaggle (2016)	True	2.093	2	2	2
5	100%	0.343	2019-04-14	ensae/kaggle_review_2017.ipynb	Revue de compétitions Kaggle (2017)	True	2.060	2	2	2
6	100%	3.756	2019-04-14	meshs/automation_finance_trading.ipynb	Les algorithmes, outils de décision automatique.	True	6.258	10	10	10
7	100%	117.562	2019-04-07	msexp/onnx_deploy.ipynb	Deploy machine learned models with ONNX	True	120.279	77	77	77
8	100%	7.384	2019-04-14	pydata/10_plotting_libraries.ipynb	10 plotting libraries	True	10.096	16	16	16
9	100%	17.440	2019-04-07	pydata/big_datashader.ipynb	datashader	True	20.143	28	28	28
10	80%	0.850	2019-04-14	pydata/gui_geoplotlib.ipynb	geoplotlib	True	3.083	5	4	4
11	100%	1.144	2019-04-14	pydata/im_biopython.ipynb	biopython	True	3.059	6	6	6
12	100%	0.834	2019-04-14	pydata/im_cartopy.ipynb	cartopy	True	3.065	4	4	4
13	100%	3.026	2019-04-07	pydata/im_ete3.ipynb	ete3	True	5.210	11	11	11
14	100%	2.754	2019-04-14	pydata/im_lifelines.ipynb	lifelines	True	5.053	7	7	7
15	90%	1.196	2019-04-14	pydata/im_matplotlib.ipynb	matplotlib	True	3.074	11	10	10
16	100%	4.801	2019-04-14	pydata/im_missingno.ipynb	missingno	True	7.074	13	13	13
17	100%	11.365	2019-04-14	pydata/im_mpl_scatter_density.ipynb	mpl-scatter-density	True	13.095	6	6	6
18	100%	2.047	2019-04-14	pydata/im_networkx.ipynb	networkx	True	4.044	4	4	4
19	100%	6.044	2019-04-14	pydata/im_plotnine.ipynb	plotnine	True	8.086	9	9	9
20	100%	0.757	2019-04-14	pydata/im_reportlab.ipynb	reportlab	True	3.060	4	4	4
21	100%	1.560	2019-04-14	pydata/im_scikit_plot.ipynb	scikit-plot	True	4.064	5	5	5
22	100%	3.088	2019-04-14	pydata/im_seaborn.ipynb	seaborn	True	5.052	5	5	5
23	100%	1.208	2019-04-14	pydata/js_bokeh.ipynb	bokeh	True	3.055	7	7	7
24	50%	0.152	2019-04-14	pydata/js_lightning_python.ipynb	lightning-python	True	2.056	4	2	2
25	0%	nan		pydata/js_mpld3.ipynb	mpld3		nan	17	0
26	100%	11.342	2019-04-14	pydata/js_plotly.ipynb	plotly	True	14.171	9	9	9
27	100%	4.237	2019-04-14	pydata/js_pydy_mass_spring_damper.ipynb	pydy	True	6.484	32	32	32
28	80%	1.012	2019-04-14	pydata/js_pyecharts.ipynb	pyecharts	True	3.089	5	4	4
29	100%	1.301	2019-04-14	pydata/js_pygal.ipynb	pygal	True	3.083	7	7	7
30	100%	2.990	2019-04-14	pydata/js_pythreejs.ipynb	pythreejs	True	5.075	5	5	5
31	100%	0.792	2019-04-14	pydata/js_vega.ipynb	vega	True	3.045	6	6	6
32	100%	0.610	2019-04-14	pydata/jsonly_treant.ipynb	treant-js	True	4.072	7	7	7
33	100%	2.561	2019-04-14	pydata/pyjs_bqplot.ipynb	bqplot	True	5.064	19	19	19
34	100%	1.886	2019-04-14	pydata/pyjs_brython.ipynb	brython, brythonmagic	True	4.042	18	18	18
35	100%	1.108	2019-04-14	pydata/pyjsc_vispy.ipynb	vispy	True	3.427	8	8	8
36	100%	49.804	2019-04-07	pyparis/onnx_deploy_pyparis.ipynb	Deploy machine learned models with ONNX	True	52.132	38	38	38