Esempio n. 1
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def test_plot_topo_image_epochs():
    """Test plotting of epochs image topography
    """
    title = "ERF images - MNE sample data"
    epochs = _get_epochs()
    plot_topo_image_epochs(epochs, layout, sigma=0.5, vmin=-200, vmax=200, colorbar=True, title=title)
    plt.close("all")
Esempio n. 2
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def test_plot_topo_image_epochs():
    """Test plotting of epochs image topography."""
    title = 'ERF images - MNE sample data'
    epochs = _get_epochs()
    epochs.load_data()
    cmap = mne_analyze_colormap(format='matplotlib')
    data_min = epochs._data.min()
    plt.close('all')
    fig = plot_topo_image_epochs(epochs,
                                 sigma=0.5,
                                 vmin=-200,
                                 vmax=200,
                                 colorbar=True,
                                 title=title,
                                 cmap=cmap)
    assert epochs._data.min() == data_min
    num_figures_before = len(plt.get_fignums())
    _fake_click(fig, fig.axes[0], (0.08, 0.64))
    assert num_figures_before + 1 == len(plt.get_fignums())
    # test for auto-showing a colorbar when only 1 sensor type
    ep = epochs.copy().pick_types(meg=False, eeg=True)
    fig = plot_topo_image_epochs(ep,
                                 vmin=None,
                                 vmax=None,
                                 colorbar=None,
                                 cmap=cmap)
    ax = [x for x in fig.get_children() if isinstance(x, matplotlib.axes.Axes)]
    qm_cmap = [
        y.cmap for x in ax for y in x.get_children()
        if isinstance(y, matplotlib.collections.QuadMesh)
    ]
    assert qm_cmap[0] is cmap
    plt.close('all')
Esempio n. 3
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def test_plot_topo_image_epochs():
    """Test plotting of epochs image topography
    """
    import matplotlib.pyplot as plt
    title = 'ERF images - MNE sample data'
    epochs = _get_epochs()
    plot_topo_image_epochs(epochs, layout, sigma=0.5, vmin=-200, vmax=200,
                           colorbar=True, title=title)
    plt.close('all')
Esempio n. 4
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def test_plot_topo_image_epochs():
    """Test plotting of epochs image topography
    """
    import matplotlib.pyplot as plt
    title = 'ERF images - MNE sample data'
    epochs = _get_epochs()
    cmap = mne_analyze_colormap(format='matplotlib')
    plot_topo_image_epochs(epochs, sigma=0.5, vmin=-200, vmax=200,
                           colorbar=True, title=title, cmap=cmap)
    plt.close('all')
def test_plot_topo_image_epochs():
    """Test plotting of epochs image topography
    """
    import matplotlib.pyplot as plt
    title = 'ERF images - MNE sample data'
    epochs = _get_epochs()
    cmap = mne_analyze_colormap(format='matplotlib')
    plot_topo_image_epochs(epochs, sigma=0.5, vmin=-200, vmax=200,
                           colorbar=True, title=title, cmap=cmap)
    plt.close('all')
Esempio n. 6
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def test_plot_topo_image_epochs():
    """Test plotting of epochs image topography
    """
    title = 'ERF images - MNE sample data'
    plot_topo_image_epochs(epochs,
                           layout,
                           sigma=0.5,
                           vmin=-200,
                           vmax=200,
                           colorbar=True,
                           title=title)
Esempio n. 7
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def test_plot_topo_image_epochs():
    """Test plotting of epochs image topography."""
    import matplotlib.pyplot as plt
    title = 'ERF images - MNE sample data'
    epochs = _get_epochs()
    epochs.load_data()
    cmap = mne_analyze_colormap(format='matplotlib')
    data_min = epochs._data.min()
    fig = plot_topo_image_epochs(epochs, sigma=0.5, vmin=-200, vmax=200,
                                 colorbar=True, title=title, cmap=cmap)
    assert_equal(epochs._data.min(), data_min)
    _fake_click(fig, fig.axes[2], (0.08, 0.64))
    plt.close('all')
Esempio n. 8
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def test_plot_topo_image_epochs():
    """Test plotting of epochs image topography."""
    title = 'ERF images - MNE sample data'
    epochs = _get_epochs()
    epochs.load_data()
    cmap = mne_analyze_colormap(format='matplotlib')
    data_min = epochs._data.min()
    plt.close('all')
    fig = plot_topo_image_epochs(epochs, sigma=0.5, vmin=-200, vmax=200,
                                 colorbar=True, title=title, cmap=cmap)
    assert epochs._data.min() == data_min
    num_figures_before = len(plt.get_fignums())
    _fake_click(fig, fig.axes[0], (0.08, 0.64))
    assert num_figures_before + 1 == len(plt.get_fignums())
    # test for auto-showing a colorbar when only 1 sensor type
    ep = epochs.copy().pick_types(meg=False, eeg=True)
    fig = plot_topo_image_epochs(ep, vmin=None, vmax=None, colorbar=None,
                                 cmap=cmap)
    ax = [x for x in fig.get_children() if isinstance(x, matplotlib.axes.Axes)]
    qm_cmap = [y.cmap for x in ax for y in x.get_children()
               if isinstance(y, matplotlib.collections.QuadMesh)]
    assert qm_cmap[0] is cmap
    plt.close('all')
Esempio n. 9
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def test_plot_topo_image_epochs():
    """Test plotting of epochs image topography."""
    title = 'ERF images - MNE sample data'
    epochs = _get_epochs()
    epochs.load_data()
    cmap = mne_analyze_colormap(format='matplotlib')
    data_min = epochs._data.min()
    plt.close('all')
    fig = plot_topo_image_epochs(epochs, sigma=0.5, vmin=-200, vmax=200,
                                 colorbar=True, title=title, cmap=cmap)
    assert epochs._data.min() == data_min
    num_figures_before = len(plt.get_fignums())
    _fake_click(fig, fig.axes[0], (0.08, 0.64))
    assert num_figures_before + 1 == len(plt.get_fignums())
    plt.close('all')
Esempio n. 10
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def test_plot_topo_image_epochs():
    """Test plotting of epochs image topography
    """
    title = 'ERF images - MNE sample data'
    plot_topo_image_epochs(epochs, layout, sigma=0.5, vmin=-200, vmax=200,
                           colorbar=True, title=title)