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我正在使用文档中的这个函数来用 matplotlib 制作一个漂亮的图。

def demo_grid_with_single_cbar(fig):
    """
    A grid of 2x2 images with a single colorbar
    """
    grid = AxesGrid(fig, 132, # similar to subplot(132)
                    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])

我想更改次要定位器。但我真的不知道在哪里更改代码。如果它只有一个图形，我会操纵轴对象。但是有了 AxesGrid，我迷路了。

majorLocator   = MultipleLocator(50)
majorFormatter = FormatStrFormatter('%d')
minorLocator   = MultipleLocator(10)
ax.yaxis.set_major_locator(majorLocator)
ax.yaxis.set_major_formatter(majorFormatter)
ax.yaxis.set_minor_locator(minorLocator)

问题解决后编辑。结果应该如下图所示，注意小勾号！

结果应如下图所示
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也许其他人可以附加它。我不能，因为我的声誉信用还不够。

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1 回答 1

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注意主页上的警告。如果您有足够新的版本，matplotlib则可以使用。

from mpl_toolkits.axes_grid1 import ImageGrid

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_grid_with_single_cbar(fig):
    """
    A grid of 2x2 images with a single colorbar
    """
    grid = ImageGrid(fig, 132, # similar to subplot(132)
                    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])

    for i in range(4):
        ax = grid[i]
        ax.yaxis.set_minor_locator(MultipleLocator(.5))
于 2013-01-01T20:49:07.423 回答