本文整理汇总了Python中matplotlib.mlab.contiguous_regions方法的典型用法代码示例。如果您正苦于以下问题：Python mlab.contiguous_regions方法的具体用法？Python mlab.contiguous_regions怎么用？Python mlab.contiguous_regions使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.mlab的用法示例。
在下文中一共展示了mlab.contiguous_regions方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: span_where
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import contiguous_regions [as 别名]
def span_where(x, ymin, ymax, where, **kwargs):
"""
Create a BrokenBarHCollection to plot horizontal bars from
over the regions in *x* where *where* is True. The bars range
on the y-axis from *ymin* to *ymax*
A :class:`BrokenBarHCollection` is returned. *kwargs* are
passed on to the collection.
"""
xranges = []
for ind0, ind1 in mlab.contiguous_regions(where):
xslice = x[ind0:ind1]
if not len(xslice):
continue
xranges.append((xslice[0], xslice[-1] - xslice[0]))
collection = BrokenBarHCollection(
xranges, [ymin, ymax - ymin], **kwargs)
return collection 示例2: test_contiguous_regions
# 需要导入模块: from matplotlib import mlab [as 别名]
# 或者: from matplotlib.mlab import contiguous_regions [as 别名]
def test_contiguous_regions():
a, b, c = 3, 4, 5
# Starts and ends with True
mask = [True]*a + [False]*b + [True]*c
expected = [(0, a), (a+b, a+b+c)]
with pytest.warns(MatplotlibDeprecationWarning):
assert mlab.contiguous_regions(mask) == expected
d, e = 6, 7
# Starts with True ends with False
mask = mask + [False]*e
with pytest.warns(MatplotlibDeprecationWarning):
assert mlab.contiguous_regions(mask) == expected
# Starts with False ends with True
mask = [False]*d + mask[:-e]
expected = [(d, d+a), (d+a+b, d+a+b+c)]
with pytest.warns(MatplotlibDeprecationWarning):
assert mlab.contiguous_regions(mask) == expected
# Starts and ends with False
mask = mask + [False]*e
with pytest.warns(MatplotlibDeprecationWarning):
assert mlab.contiguous_regions(mask) == expected
# No True in mask
assert mlab.contiguous_regions([False]*5) == []
# Empty mask
assert mlab.contiguous_regions([]) == []