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()
