matplotlib & pandas

Python/matplotlab/gallery/axes_grid1/demo_axes_divider.md

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+# 演示Axes Divider
+
+轴分割器用于计算轴的位置，并使用现有轴实例为它们创建分隔线。
+
+![演示Axes Divider示例](https://matplotlib.org/_images/sphx_glr_demo_axes_divider_001.png)
+
+```python
+import matplotlib.pyplot as plt
+
+
+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_image(ax):
+    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)
+
+
+def demo_locatable_axes_hard(fig1):
+
+    from mpl_toolkits.axes_grid1 import SubplotDivider, Size
+    from mpl_toolkits.axes_grid1.mpl_axes import Axes
+
+    divider = SubplotDivider(fig1, 2, 2, 2, aspect=True)
+
+    # axes for image
+    ax = Axes(fig1, divider.get_position())
+
+    # axes for colorbar
+    ax_cb = Axes(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)
+
+
+def demo_locatable_axes_easy(ax):
+    from mpl_toolkits.axes_grid1 import make_axes_locatable
+
+    divider = make_axes_locatable(ax)
+
+    ax_cb = divider.new_horizontal(size="5%", pad=0.05)
+    fig1 = ax.get_figure()
+    fig1.add_axes(ax_cb)
+
+    Z, extent = get_demo_image()
+    im = ax.imshow(Z, extent=extent, interpolation="nearest")
+
+    plt.colorbar(im, cax=ax_cb)
+    ax_cb.yaxis.tick_right()
+    ax_cb.yaxis.set_tick_params(labelright=False)
+
+
+def demo_images_side_by_side(ax):
+    from mpl_toolkits.axes_grid1 import make_axes_locatable
+
+    divider = make_axes_locatable(ax)
+
+    Z, extent = get_demo_image()
+    ax2 = divider.new_horizontal(size="100%", pad=0.05)
+    fig1 = ax.get_figure()
+    fig1.add_axes(ax2)
+
+    ax.imshow(Z, extent=extent, interpolation="nearest")
+    ax2.imshow(Z, extent=extent, interpolation="nearest")
+    ax2.yaxis.set_tick_params(labelleft=False)
+
+
+def demo():
+
+    fig1 = plt.figure(1, (6, 6))
+    fig1.clf()
+
+    # PLOT 1
+    # simple image & colorbar
+    ax = fig1.add_subplot(2, 2, 1)
+    demo_simple_image(ax)
+
+    # PLOT 2
+    # image and colorbar whose location is adjusted in the drawing time.
+    # a hard way
+
+    demo_locatable_axes_hard(fig1)
+
+    # PLOT 3
+    # image and colorbar whose location is adjusted in the drawing time.
+    # a easy way
+
+    ax = fig1.add_subplot(2, 2, 3)
+    demo_locatable_axes_easy(ax)
+
+    # PLOT 4
+    # two images side by side with fixed padding.
+
+    ax = fig1.add_subplot(2, 2, 4)
+    demo_images_side_by_side(ax)
+
+    plt.show()
+
+
+demo()
+```
+
+## 下载这个示例
+            
+- [下载python源码: demo_axes_divider.py](https://matplotlib.org/_downloads/demo_axes_divider.py)
+- [下载Jupyter notebook: demo_axes_divider.ipynb](https://matplotlib.org/_downloads/demo_axes_divider.ipynb)