import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid.axes_divider import make_axes_locatable
from mpl_toolkits.axes_grid.colorbar import colorbar
# from matplotlib.pyplot import colorbar
fig = plt.figure(1, figsize=(6, 3))
fig.subplots_adjust(wspace=0.5)
ax1 = fig.add_subplot(121)
im1 = ax1.imshow([[1,2],[3,4]])
ax1_divider = make_axes_locatable(ax1)
cax1 = ax1_divider.append_axes("right", size="7%", pad="2%")
cb1 = colorbar(im1, cax=cax1)
ax2 = fig.add_subplot(122)
im2 = ax2.imshow([[1,2],[3,4]])
ax2_divider = make_axes_locatable(ax2)
cax2 = ax2_divider.append_axes("top", size="7%", pad="2%")
cb2 = colorbar(im2, cax=cax2, orientation="horizontal")
cax2.xaxis.set_ticks_position("top")
plt.show()
ax.set(aspect=1,
xlim=(-15, 15),
ylim=(-20, 5))
axins = zoomed_inset_axes(ax, 2, loc=2) # zoom = 6
im = axins.imshow(Z, extent=extent, interpolation="nearest",
origin="lower")
plt.xticks(visible=False)
plt.yticks(visible=False)
# colorbar
cax = inset_axes(axins,
width="5%", # width = 10% of parent_bbox width
height="100%", # height : 50%
loc=3,
bbox_to_anchor=(1.05, 0., 1, 1),
bbox_transform=axins.transAxes,
borderpad=0,
)
colorbar(im, cax=cax) #, ticks=[1,2,3])
plt.draw()
plt.show()
import matplotlib.pyplot as plt
plt.rcParams["text.usetex"]=False
fig = plt.figure(1, figsize=(6, 3))
ax1 = fig.add_subplot(121)
im1 = ax1.imshow([[1,2],[3,4]])
cb1 = plt.colorbar(im1)
cb1.ax.set_yticks([1, 3])
ax1.set_title("Original MPL's colorbar w/\nset_yticks([1,3])", size=10)
from mpl_toolkits.axes_grid.colorbar import colorbar
ax2 = fig.add_subplot(122)
im2 = ax2.imshow([[1,2],[3,4]])
cb2 = colorbar(im2)
cb2.ax.set_yticks([1, 3])
ax2.set_title("AxesGrid's colorbar w/\nset_yticks([1,3])", size=10)
plt.show()
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid.inset_locator import inset_axes
from mpl_toolkits.axes_grid.colorbar import colorbar
fig = plt.figure(1, [6, 3])
ax1 = fig.add_subplot(121)
axins1 = inset_axes(ax1,
width="50%", # width = 10% of parent_bbox width
height="5%", # height : 50%
loc=1)
im1=ax1.imshow([[1,2],[2, 3]])
colorbar(im1, cax=axins1, orientation="horizontal", ticks=[1,2,3])
axins1.xaxis.set_ticks_position("bottom")
ax = fig.add_subplot(122)
axins = inset_axes(ax,
width="5%", # width = 10% of parent_bbox width
height="50%", # height : 50%
loc=3,
bbox_to_anchor=(1.05, 0., 1, 1),
bbox_transform=ax.transAxes,
borderpad=0,
)
im=ax.imshow([[1,2],[2, 3]])
colorbar(im, cax=axins, ticks=[1,2,3])
plt.draw()
plt.show()
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid.axes_divider import make_axes_locatable
from mpl_toolkits.axes_grid.colorbar import colorbar
# from matplotlib.pyplot import colorbar
fig = plt.figure(1, figsize=(6, 3))
fig.subplots_adjust(wspace=0.5)
ax1 = fig.add_subplot(121)
im1 = ax1.imshow([[1, 2], [3, 4]])
ax1_divider = make_axes_locatable(ax1)
cax1 = ax1_divider.append_axes("right", size="7%", pad="2%")
cb1 = colorbar(im1, cax=cax1)
ax2 = fig.add_subplot(122)
im2 = ax2.imshow([[1, 2], [3, 4]])
ax2_divider = make_axes_locatable(ax2)
cax2 = ax2_divider.append_axes("top", size="7%", pad="2%")
cb2 = colorbar(im2, cax=cax2, orientation="horizontal")
cax2.xaxis.set_ticks_position("top")
plt.show()
import matplotlib.pyplot as plt
plt.rcParams["text.usetex"] = False
fig = plt.figure(1, figsize=(6, 3))
ax1 = fig.add_subplot(121)
im1 = ax1.imshow([[1, 2], [3, 4]])
cb1 = plt.colorbar(im1)
cb1.ax.set_yticks([1, 3])
ax1.set_title("Original MPL's colorbar w/\nset_yticks([1,3])", size=10)
from mpl_toolkits.axes_grid.colorbar import colorbar
ax2 = fig.add_subplot(122)
im2 = ax2.imshow([[1, 2], [3, 4]])
cb2 = colorbar(im2)
cb2.ax.set_yticks([1, 3])
ax2.set_title("AxesGrid's colorbar w/\nset_yticks([1,3])", size=10)
plt.show()
fig = plt.figure(1, [5, 4])
ax = fig.add_subplot(111)
Z, extent = get_demo_image()
ax.set(aspect=1, xlim=(-15, 15), ylim=(-20, 5))
axins = zoomed_inset_axes(ax, 2, loc=2) # zoom = 6
im = axins.imshow(Z, extent=extent, interpolation="nearest", origin="lower")
plt.xticks(visible=False)
plt.yticks(visible=False)
# colorbar
cax = inset_axes(
axins,
width="5%", # width = 10% of parent_bbox width
height="100%", # height : 50%
loc=3,
bbox_to_anchor=(1.05, 0., 1, 1),
bbox_transform=axins.transAxes,
borderpad=0,
)
colorbar(im, cax=cax) #, ticks=[1,2,3])
plt.draw()
plt.show()
