.. _axes_grid-demo_axes_grid: axes_grid example code: demo_axes_grid.py ========================================= .. plot:: /home/tcaswell/source/p/matplotlib/doc/mpl_examples/axes_grid/demo_axes_grid.py :: import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import AxesGrid def get_demo_image(): import numpy as np from matplotlib.cbook import get_sample_data f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False) z = np.load(f) # z is a numpy array of 15x15 return z, (-3, 4, -4, 3) def demo_simple_grid(fig): """ A grid of 2x2 images with 0.05 inch pad between images and only the lower-left axes is labeled. """ grid = AxesGrid(fig, 141, # similar to subplot(141) nrows_ncols=(2, 2), axes_pad=0.05, label_mode="1", ) Z, extent = get_demo_image() for i in range(4): im = grid[i].imshow(Z, extent=extent, interpolation="nearest") # This only affects axes in first column and second row as share_all = # False. grid.axes_llc.set_xticks([-2, 0, 2]) grid.axes_llc.set_yticks([-2, 0, 2]) def demo_grid_with_single_cbar(fig): """ A grid of 2x2 images with a single colorbar """ grid = AxesGrid(fig, 142, # similar to subplot(142) nrows_ncols=(2, 2), axes_pad=0.0, share_all=True, label_mode="L", cbar_location="top", cbar_mode="single", ) Z, extent = get_demo_image() for i in range(4): im = grid[i].imshow(Z, extent=extent, interpolation="nearest") #plt.colorbar(im, cax = grid.cbar_axes[0]) grid.cbar_axes[0].colorbar(im) for cax in grid.cbar_axes: cax.toggle_label(False) # This affects all axes as share_all = True. grid.axes_llc.set_xticks([-2, 0, 2]) grid.axes_llc.set_yticks([-2, 0, 2]) def demo_grid_with_each_cbar(fig): """ A grid of 2x2 images. Each image has its own colorbar. """ grid = AxesGrid(fig, 143, # similar to subplot(143) nrows_ncols=(2, 2), axes_pad=0.1, label_mode="1", share_all=True, cbar_location="top", cbar_mode="each", cbar_size="7%", cbar_pad="2%", ) Z, extent = get_demo_image() for i in range(4): im = grid[i].imshow(Z, extent=extent, interpolation="nearest") grid.cbar_axes[i].colorbar(im) for cax in grid.cbar_axes: cax.toggle_label(False) # This affects all axes because we set share_all = True. grid.axes_llc.set_xticks([-2, 0, 2]) grid.axes_llc.set_yticks([-2, 0, 2]) def demo_grid_with_each_cbar_labelled(fig): """ A grid of 2x2 images. Each image has its own colorbar. """ grid = AxesGrid(fig, 144, # similar to subplot(144) nrows_ncols=(2, 2), axes_pad=(0.45, 0.15), label_mode="1", share_all=True, cbar_location="right", cbar_mode="each", cbar_size="7%", cbar_pad="2%", ) Z, extent = get_demo_image() # Use a different colorbar range every time limits = ((0, 1), (-2, 2), (-1.7, 1.4), (-1.5, 1)) for i in range(4): im = grid[i].imshow(Z, extent=extent, interpolation="nearest", vmin=limits[i][0], vmax=limits[i][1]) grid.cbar_axes[i].colorbar(im) for i, cax in enumerate(grid.cbar_axes): cax.set_yticks((limits[i][0], limits[i][1])) # This affects all axes because we set share_all = True. grid.axes_llc.set_xticks([-2, 0, 2]) grid.axes_llc.set_yticks([-2, 0, 2]) if 1: F = plt.figure(1, (10.5, 2.5)) F.subplots_adjust(left=0.05, right=0.95) demo_simple_grid(F) demo_grid_with_single_cbar(F) demo_grid_with_each_cbar(F) demo_grid_with_each_cbar_labelled(F) plt.draw() plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)