Python matplotlib.mlab.contiguous_regions() Examples

The following are 7 code examples of matplotlib.mlab.contiguous_regions(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module matplotlib.mlab , or try the search function .
Example #1
Source File: collections.py    From Computable with MIT License 6 votes vote down vote up 
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
Example #2
Source File: collections.py    From matplotlib-4-abaqus with MIT License 6 votes vote down vote up 
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
Example #3
Source File: collections.py    From neural-network-animation with MIT License 6 votes vote down vote up 
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
Example #4
Source File: test_mlab.py    From python3_ios with BSD 3-Clause "New" or "Revised" License 6 votes vote down vote up 
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([]) == []
Example #5
Source File: collections.py    From ImageFusion with MIT License 6 votes vote down vote up 
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
Example #6
Source File: test_mlab.py    From coffeegrindsize with MIT License 6 votes vote down vote up 
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([]) == []
Example #7
Source File: test_mlab.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
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([]) == []