Notebooks Coverage

Report on last executions.

87% 2019-04-14

_images/nbcov-2019-04-14.png

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

_images/nbcov.png