def test_plot_cuboid2d_as_image(self): from pyhrf.ndarray import xndarray import matplotlib sh = (10, 3) c1 = xndarray( np.arange(np.prod(sh)).reshape(sh), axes_names=["sagittal", "condition"], axes_domains={"condition": ["audio1", "audio2", "video"]}, ) f = plt.figure() ax = f.add_subplot(111) ori = ["condition", "sagittal"] cm = matplotlib.cm.get_cmap("winter") norm = matplotlib.colors.Normalize(vmin=5, vmax=20) plot_cub_as_image( c1.reorient(ori), cmap=cm, norm=norm, axes=ax, show_axes=True, show_axis_labels=True, show_colorbar=True, show_tick_labels=False, ) if 0: plt.show()
def test_plot_cuboid1d_as_image(self): from pyhrf.ndarray import xndarray import matplotlib sh = (3,) c2 = xndarray(np.arange(np.prod(sh)).reshape(sh), axes_names=['condition'], axes_domains={'condition': ['audio1', 'audio2', 'video']}) f = plt.figure() ax = f.add_subplot(111) cm = matplotlib.cm.get_cmap('winter') norm = matplotlib.colors.Normalize(vmin=0., vmax=3.) plot_cub_as_image(c2, cmap=cm, norm=norm, axes=ax, show_axes=True, show_axis_labels=True, show_tick_labels=True)
def test_plot_cuboid2d_as_image(self): from pyhrf.ndarray import xndarray import matplotlib sh = (10, 3) c1 = xndarray(np.arange(np.prod(sh)).reshape(sh), axes_names=['sagittal', 'condition'], axes_domains={'condition': ['audio1', 'audio2', 'video']}) f = plt.figure() ax = f.add_subplot(111) ori = ['condition', 'sagittal'] cm = matplotlib.cm.get_cmap('winter') norm = matplotlib.colors.Normalize(vmin=5, vmax=20) plot_cub_as_image(c1.reorient(ori), cmap=cm, norm=norm, axes=ax, show_axes=True, show_axis_labels=True, show_colorbar=True, show_tick_labels=False)
def test_plot_cuboid1d_as_image(self): from pyhrf.ndarray import xndarray import matplotlib sh = (3,) c2 = xndarray( np.arange(np.prod(sh)).reshape(sh), axes_names=["condition"], axes_domains={"condition": ["audio1", "audio2", "video"]}, ) f = plt.figure() ax = f.add_subplot(111) cm = matplotlib.cm.get_cmap("winter") norm = matplotlib.colors.Normalize(vmin=0.0, vmax=3.0) plot_cub_as_image(c2, cmap=cm, norm=norm, axes=ax, show_axes=True, show_axis_labels=True, show_tick_labels=True) if 0: plt.show()