def test_datacontour(override_plot_backend):
p = plot.DataContour()
r = p._repr_html_()
check_empty(r, 'DataContour', nsummary=7)
x0 = np.asarray([[10, 20, 30], [10, 20, 30]])
x1 = np.asarray([[5, 5, 5], [15, 15, 15]])
y = np.arange(x0.size)
d = Data2D('n n', x0.flatten(), x1.flatten(), y.flatten())
p.prepare(d)
r = p._repr_html_()
check_full(r, 'DataContour', 'x1', 'n n', nsummary=7)
def test_fitcontour(override_plot_backend):
p = plot.FitContour()
r = p._repr_html_()
assert r is None # note: always None
x0 = np.asarray([[10, 20, 30], [10, 20, 30]])
x1 = np.asarray([[5, 5, 5], [15, 15, 15]])
y = np.arange(x0.size)
d = Data2D('n n', x0.flatten(), x1.flatten(), y.flatten())
# need somethig we can contour
m = Gauss2D()
m.xpos = 21
m.ypos = 9
m.fwhm = 5
dplot = plot.DataContour()
dplot.prepare(d)
mplot = plot.ModelContour()
mplot.prepare(d, m, stat=None)
p.prepare(dplot, mplot)
r = p._repr_html_()
# different to previous checks
assert r is not None
if plot.backend.name == 'pylab':
assert '<summary>FitContour</summary>' in r
assert '<svg ' in r
return
assert '<summary>DataContour (' in r
assert '<summary>ModelContour (' in r
assert '<div class="dataval">n n</div>' in r
assert '<div class="dataval">Model</div>' in r