def __init__(self, axes):
"""
:param axes: axes
"""
self._axes = axes
self._xref = Size.AxesX(axes)
self._yref = Size.AxesY(axes)
Divider.__init__(self, fig=axes.get_figure(), pos=None,
horizontal=[self._xref], vertical=[self._yref],
aspect=None, anchor="C")
def __init__(self, axes, xref=None, yref=None):
"""
:param axes: axes
"""
self._axes = axes
if xref==None:
self._xref = Size.AxesX(axes)
else:
self._xref = xref
if yref==None:
self._yref = Size.AxesY(axes)
else:
self._yref = yref
Divider.__init__(self, fig=axes.get_figure(), pos=None,
horizontal=[self._xref], vertical=[self._yref],
aspect=None, anchor="C")
def demo_locatable_axes():
import matplotlib.pyplot as plt
fig1 = plt.figure(1, (6, 6))
fig1.clf()
## PLOT 1
# simple image & colorbar
ax = fig1.add_subplot(2, 2, 1)
Z, extent = get_demo_image()
im = ax.imshow(Z, extent=extent, interpolation="nearest")
cb = plt.colorbar(im)
plt.setp(cb.ax.get_yticklabels(), visible=False)
## PLOT 2
# image and colorbar whose location is adjusted in the drawing time.
# a hard way
divider = SubplotDivider(fig1, 2, 2, 2, aspect=True)
# axes for image
ax = LocatableAxes(fig1, divider.get_position())
# axes for coloarbar
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.yaxis.set_ticks_position("right")
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)
plt.draw()
#plt.colorbar(im, cax=ax_cb)
## PLOT 3
# image and colorbar whose location is adjusted in the drawing time.
# a easy way
ax = fig1.add_subplot(2, 2, 3)
divider = make_axes_locatable(ax)
ax_cb = divider.new_horizontal(size="5%", pad=0.05)
fig1.add_axes(ax_cb)
im = ax.imshow(Z, extent=extent, interpolation="nearest")
plt.colorbar(im, cax=ax_cb)
plt.setp(ax_cb.get_yticklabels(), visible=False)
## PLOT 4
# two images side by sied with fixed padding.
ax = fig1.add_subplot(2, 2, 4)
divider = make_axes_locatable(ax)
ax2 = divider.new_horizontal(size="100%", pad=0.05)
fig1.add_axes(ax2)
ax.imshow(Z, extent=extent, interpolation="nearest")
ax2.imshow(Z, extent=extent, interpolation="nearest")
plt.setp(ax2.get_yticklabels(), visible=False)
plt.draw()
plt.show()