def demo_locatable_axes_hard(fig1):
from mpl_toolkits.axes_grid1 import SubplotDivider, LocatableAxes, Size
divider = SubplotDivider(fig1, 2, 2, 2, aspect=True)
# axes for image
ax = LocatableAxes(fig1, divider.get_position())
# axes for colorbar
ax_cb = LocatableAxes(fig1, divider.get_position())
h = [Size.AxesX(ax), Size.Fixed(0.05), Size.Fixed(0.2)] # main axes # padding, 0.1 inch # colorbar, 0.3 inch
v = [Size.AxesY(ax)]
divider.set_horizontal(h)
divider.set_vertical(v)
ax.set_axes_locator(divider.new_locator(nx=0, ny=0))
ax_cb.set_axes_locator(divider.new_locator(nx=2, ny=0))
fig1.add_axes(ax)
fig1.add_axes(ax_cb)
ax_cb.axis["left"].toggle(all=False)
ax_cb.axis["right"].toggle(ticks=True)
Z, extent = get_demo_image()
im = ax.imshow(Z, extent=extent, interpolation="nearest")
plt.colorbar(im, cax=ax_cb)
plt.setp(ax_cb.get_yticklabels(), visible=False)
def plot_heatmap(fig2, Z):
from mpl_toolkits.axes_grid1 \
import SubplotDivider, LocatableAxes, Size
Z = np.flipud(Z)
divider = SubplotDivider(fig2, 1, 1, 1, aspect=True)
# axes for image
ax = LocatableAxes(fig2, divider.get_position())
# axes for colorbar
ax_cb = LocatableAxes(fig2, divider.get_position())
h = [
Size.AxesX(ax), # main axes
Size.Fixed(0.05), # padding, 0.1 inch
Size.Fixed(0.2), # colorbar, 0.3 inch
]
v = [Size.AxesY(ax)]
divider.set_horizontal(h)
divider.set_vertical(v)
ax.set_axes_locator(divider.new_locator(nx=0, ny=0))
ax_cb.set_axes_locator(divider.new_locator(nx=2, ny=0))
fig2.add_axes(ax)
fig2.add_axes(ax_cb)
ax_cb.axis["left"].toggle(all=False)
ax_cb.axis["right"].toggle(ticks=True)
im = ax.imshow(Z,
cmap=cm.coolwarm,
extent=(0, 1, 0, 1),
interpolation="nearest")
plt.colorbar(im, cax=ax_cb)
plt.setp(ax_cb.get_yticklabels(), visible=False)
mngr = plt.get_current_fig_manager()
geom = mngr.window.geometry()
x, y, dx, dy = geom.getRect()
mngr.window.setGeometry(dx + 200, 100, dx, dy)
def plot2dHeatMap(fig, x, y, z):
'''z is a 2d grid; x and y are implicit linspaces'''
from mpl_toolkits.axes_grid1 \
import SubplotDivider, LocatableAxes, Size
z = np.flipud(z)
divider = SubplotDivider(fig, 1, 1, 1, aspect=True)
# axes for image
ax = LocatableAxes(fig, divider.get_position())
# axes for colorbar
ax_cb = LocatableAxes(fig, divider.get_position())
h = [
Size.AxesX(ax), # main axes
Size.Fixed(0.05), # padding, 0.1 inch
Size.Fixed(0.2), # colorbar, 0.3 inch
]
v = [Size.AxesY(ax)]
divider.set_horizontal(h)
divider.set_vertical(v)
ax.set_axes_locator(divider.new_locator(nx=0, ny=0))
ax_cb.set_axes_locator(divider.new_locator(nx=2, ny=0))
fig.add_axes(ax)
fig.add_axes(ax_cb)
ax_cb.axis["left"].toggle(all=False)
ax_cb.axis["right"].toggle(ticks=True)
im = ax.imshow(z,
cmap=cm.coolwarm,
extent=(0, 1, 0, 1),
interpolation="nearest")
plt.colorbar(im, cax=ax_cb)
plt.setp(ax_cb.get_yticklabels(), visible=False)
return ax
def demo_locatable_axes_hard(fig1):
from mpl_toolkits.axes_grid1 \
import SubplotDivider, LocatableAxes, Size
divider = SubplotDivider(fig1, 2, 2, 2, aspect=True)
# axes for image
ax = LocatableAxes(fig1, divider.get_position())
# axes for colorbar
ax_cb = LocatableAxes(fig1, divider.get_position())
h = [
Size.AxesX(ax), # main axes
Size.Fixed(0.05), # padding, 0.1 inch
Size.Fixed(0.2), # colorbar, 0.3 inch
]
v = [Size.AxesY(ax)]
divider.set_horizontal(h)
divider.set_vertical(v)
ax.set_axes_locator(divider.new_locator(nx=0, ny=0))
ax_cb.set_axes_locator(divider.new_locator(nx=2, ny=0))
fig1.add_axes(ax)
fig1.add_axes(ax_cb)
ax_cb.axis["left"].toggle(all=False)
ax_cb.axis["right"].toggle(ticks=True)
Z, extent = get_demo_image()
im = ax.imshow(Z, extent=extent, interpolation="nearest")
plt.colorbar(im, cax=ax_cb)
plt.setp(ax_cb.get_yticklabels(), visible=False)
