@@ -1564,6 +1564,175 @@ def test_boxplot_bad_ci_2():
15641564 fig , ax = plt .subplots ()
15651565 assert_raises (ValueError , ax .boxplot , [x , x ],
15661566 conf_intervals = [[1 , 2 ], [1 ]])
1567+ # violin plot data initialization
1568+ ax = plt .axes ()
1569+ data = [([ 0.07902449 , - 0.16769639 , 1.1572525 , 0.71400729 , - 0.17916727 ,
1570+ - 1.15346725 , - 0.5298936 , 1.16570619 , 1.13612837 , - 0.66830221 ,
1571+ - 0.76738509 , 0.85911678 , 0.56446469 , 0.64772651 , - 1.97432723 ,
1572+ - 1.11794413 , 0.4094635 , 2.52767469 , - 0.81092698 , - 0.23422668 ,
1573+ 0.423861 , 0.01702886 , - 0.58954823 , - 1.05303546 , 0.22632754 ,
1574+ - 1.88620214 , 0.06759594 , - 0.51663253 , - 0.38821442 , - 0.5462294 ,
1575+ - 0.39967334 , - 1.2690421 , - 0.271953 , 0.19494831 , 1.0674446 ,
1576+ 0.06632929 , 0.9051155 , - 0.06507299 , - 0.58885588 , 0.03405925 ,
1577+ 0.60666877 , - 0.25755542 , 1.06387913 , - 0.50576651 , - 0.51104135 ,
1578+ - 0.65366091 , - 1.10801137 , 0.55746182 , 0.27206281 , 0.25658797 ,
1579+ 0.008253 , - 0.07254077 , - 0.77980703 , - 1.5707303 , - 0.74731452 ,
1580+ - 0.38364682 , 1.37653142 , - 0.04123221 , - 0.84737153 , 0.26552353 ,
1581+ 0.80039697 , 0.17446856 , 0.32860543 , 0.79574814 , - 1.88942134 ]),
1582+ ([ 3.99586977e-01 , 1.09626020e+00 , 2.64974356e-01 ,5.49065532e-01 ,
1583+ - 1.86679220e+00 , - 4.23951661e-01 , - 3.66858136e-01 ,7.39441772e-02 ,
1584+ - 1.25772592e+00 , - 1.14864510e+00 , - 7.59625813e-01 ,- 2.67830782e-01 ,
1585+ - 2.68205909e-01 , - 2.64119550e-02 , - 3.00092210e-01 ,- 1.17080290e-03 ,
1586+ 1.25324397e+00 , 1.97518726e-01 , 9.74395138e-01 , - 2.52217468e-01 ,
1587+ - 2.00424239e+00 , - 2.20525681e+00 , 6.32069078e-01 , - 5.59674009e-02 ,
1588+ - 1.13007054e+00 , 8.47680697e-01 , - 1.41563783e+00 , 6.84885681e-02 ,
1589+ 8.06629024e-01 , 1.06561293e+00 , 1.48755064e-01 , 1.06241336e+00 ,
1590+ - 1.53742677e+00 , - 9.40116707e-01 , - 2.35342351e-01 , 4.07790960e-01 ,
1591+ 9.59066810e-01 , 1.83262266e+00 , - 1.44675794e-01 , - 1.61663789e+00 ,
1592+ - 3.34055942e-01 , - 1.65081542e+00 , 6.54573563e-01 , - 4.80998938e-01 ,
1593+ - 4.77104620e-01 , 4.35836897e-01 , 1.54488583e-01 , 1.90264111e+00 ,
1594+ - 1.73584727e+00 , 2.84097580e-01 , - 6.67013428e-01 , - 5.47647643e-01 ,
1595+ - 1.77584471e-01 , - 6.54191064e-01 , 1.02366976e+00 , 1.57777769e+00 ,
1596+ 2.10098337e-01 , - 5.34631915e-02 , 4.28913084e-01 , - 5.56544884e-02 ,
1597+ 1.64250239e-01 , - 4.77299164e-01 , - 8.40402132e-01 , - 1.58474541e-01 ]),
1598+ ([- 0.00975961 , - 0.9572654 , - 0.02331628 , - 0.88758431 , 0.36594918 ,
1599+ 0.58733922 , 0.12169127 , - 0.17451044 , - 1.48322656 , - 0.64203124 ,
1600+ 1.01373274 , - 0.77332978 , - 1.64093613 , 0.07944897 , 1.79420792 ,
1601+ - 0.95589844 , - 2.19618124 , 0.99478738 , - 1.98933911 , 0.21046525 ,
1602+ - 2.31831045 , 1.11045528 , - 0.51981581 , 0.49740564 , - 0.40365721 ,
1603+ - 0.30515722 , - 0.60601737 , - 1.05976064 , 1.43356283 , - 0.59014164 ,
1604+ 0.58822025 , 1.80100922 , - 1.40905671 , 0.74553523 , - 1.57655404 ,
1605+ 0.29342432 , 0.35548625 , - 0.99138976 , - 1.37339981 , 0.63871936 ,
1606+ - 0.60010678 , - 0.73597695 , - 0.12228469 , 0.2467333 , 0.03750118 ,
1607+ - 0.45755544 , - 0.8648646 , 0.13883081 , - 0.11239293 , - 0.7661388 ,
1608+ - 0.70841112 , - 0.51668825 , 2.2590876 , 0.61731299 , - 0.33742898 ,
1609+ 1.40708783 , - 1.43371511 , - 1.20425544 , 0.79551956 , - 0.38148021 ,
1610+ - 0.05703633 , - 0.42718744 , 1.86441201 , - 0.36006341 , - 2.23769144 ]),
1611+ ([ 0.28379466 , 0.31202331 , 0.54110464 , 0.79957469 , 0.02825945 ,
1612+ 1.39430266 , 0.38945253 , 0.25840893 , - 1.03405387 , 0.3951418 ,
1613+ - 0.32782812 , - 0.49764761 , 1.67314785 , 0.57207158 , 0.42868172 ,
1614+ - 0.66405633 , 0.49477738 , - 0.24707622 , - 0.91179434 , - 0.88450974 ,
1615+ 1.47387423 , 1.27147423 , - 1.28664994 , 0.84428091 , 0.19419244 ,
1616+ - 1.27527008 , 1.44462176 , 1.21255381 , 1.74448494 , - 1.47661372 ,
1617+ - 1.00577117 , - 0.68746569 , - 0.85283125 , - 0.87339905 , - 0.05053922 ,
1618+ 1.79110014 , - 0.99663248 , 0.52435397 , 1.17699107 , - 1.51437376 ,
1619+ 0.52402067 , - 0.68885234 , 1.84101899 , 1.09318846 , 0.66686321 ,
1620+ - 1.14796045 , 0.54247117 , - 2.21273401 , - 0.44526518 , 1.08591603 ,
1621+ - 1.86173825 , - 1.31016714 , 0.7782744 , 0.76330906 , - 0.96452241 ,
1622+ - 1.34983597 , - 0.90317774 , 0.20187156 , - 2.03515866 , 1.35603702 ,
1623+ 1.01390851 , 0.29328188 , - 0.2223719 , - 1.29928072 , 0.59399753 ])]
1624+
1625+ # violin plot test starts here
1626+ @image_comparison (baseline_images = ['test_vert_violinplot_baseline' ])
1627+ def test_vert_violinplot_baseline ():
1628+ ax = plt .axes ()
1629+ ax .violinplot (data ,range (4 ),showmeans = 0 ,showextrema = 0 ,showmedians = 0 )
1630+
1631+ @image_comparison (baseline_images = ['test_vert_violinplot_showmeans' ])
1632+ def test_vert_violinplot_showmeans ():
1633+ ax = plt .axes ()
1634+ ax .violinplot (data ,range (4 ),showmeans = 1 ,showextrema = 0 ,showmedians = 0 )
1635+
1636+ @image_comparison (baseline_images = ['test_vert_violinplot_showextrema' ])
1637+ def test_vert_violinplot_showextrema ():
1638+ ax = plt .axes ()
1639+ ax .violinplot (data ,range (4 ),showmeans = 0 ,showextrema = 1 ,showmedians = 0 )
1640+
1641+ @image_comparison (baseline_images = ['test_vert_violinplot_showmedians' ])
1642+ def test_vert_violinplot_showmedians ():
1643+ ax = plt .axes ()
1644+ ax .violinplot (data ,range (4 ),showmeans = 0 ,showextrema = 0 ,showmedians = 1 )
1645+
1646+ @image_comparison (baseline_images = ['test_vert_violinplot_showall' ])
1647+ def test_vert_violinplot_showall ():
1648+ ax = plt .axes ()
1649+ ax .violinplot (data ,range (4 ),showmeans = 1 ,showextrema = 1 ,showmedians = 1 )
1650+
1651+
1652+ @image_comparison (baseline_images = ['test_vert_violinplot_customwidths' ],
1653+ extensions = ['png' ],
1654+ savefig_kwarg = {'dpi' : 40 })
1655+ def test_vert_violinplot_customwidths ():
1656+ pass
1657+
1658+
1659+ @image_comparison (baseline_images = ['test_vert_violinplot_custompoints_10' ],
1660+ extensions = ['png' ],
1661+ savefig_kwarg = {'dpi' : 40 })
1662+ def test_vert_violinplot_custompoints_10 ():
1663+ pass
1664+
1665+
1666+ @image_comparison (baseline_images = ['test_vert_violinplot_custompoints_200' ],
1667+ extensions = ['png' ],
1668+ savefig_kwarg = {'dpi' : 40 })
1669+ def test_vert_violinplot_custompoints_200 ():
1670+ pass
1671+
1672+ @image_comparison (baseline_images = ['test_horiz_violinplot_baseline' ],
1673+ extensions = ['png' ],
1674+ savefig_kwarg = {'dpi' : 40 })
1675+ def test_horiz_violinplot_baseline ():
1676+ pass
1677+
1678+ @image_comparison (baseline_images = ['test_horiz_violinplot_showmedian' ],
1679+ extensions = ['png' ],
1680+ savefig_kwarg = {'dpi' : 40 })
1681+ def test_horiz_violinplot_showmedian ():
1682+ pass
1683+
1684+ @image_comparison (baseline_images = ['test_horiz_violinplot_showmean' ],
1685+ extensions = ['png' ],
1686+ savefig_kwarg = {'dpi' : 40 })
1687+ def test_horiz_violinplot_showmean ():
1688+ pass
1689+
1690+
1691+ @image_comparison (baseline_images = ['test_horiz_violinplot_showextrema' ],
1692+ extensions = ['png' ],
1693+ savefig_kwarg = {'dpi' : 40 })
1694+ def test_horiz_violinplot_showextrema ():
1695+ pass
1696+
1697+
1698+ @image_comparison (baseline_images = ['test_horiz_violinplot_show_mme' ],
1699+ extensions = ['png' ],
1700+ savefig_kwarg = {'dpi' : 40 })
1701+ def test_horiz_violinplot_show_mme ():
1702+ pass
1703+
1704+
1705+ @image_comparison (baseline_images = ['test_horiz_violinplot_customwidths' ],
1706+ extensions = ['png' ],
1707+ savefig_kwarg = {'dpi' : 40 })
1708+ def test_horiz_violinplot_customwidths ():
1709+ pass
1710+
1711+
1712+ @image_comparison (baseline_images = ['test_horiz_violinplot_custompoints_10' ],
1713+ extensions = ['png' ],
1714+ savefig_kwarg = {'dpi' : 40 })
1715+ def test_horiz_violinplot_custompoints_10 ():
1716+ pass
1717+
1718+
1719+ @image_comparison (baseline_images = ['test_horiz_violinplot_custompoints_200' ],
1720+ extensions = ['png' ],
1721+ savefig_kwarg = {'dpi' : 40 })
1722+ def test_horiz_violinplot_custompoints_200 ():
1723+ pass
1724+
1725+ # test error
1726+ def test_violinplot_bad_positions ():
1727+ ax = plt .axes ()
1728+ assert_raises (ValueError , ax .violinplot , data , positions = range (5 ))
1729+
1730+ def test_violinplot_bad_widths ():
1731+ ax = plt .axes ()
1732+ assert_raises (ValueError , ax .violinplot , data ,
1733+ positions = range (4 ), widths = [1 ,2 ,3 ])
1734+
1735+ # violin plot test ends here
15671736
15681737
15691738@cleanup
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