使用AxisGrid繪圖時更改MinorLocator

Question

我正在使用matplotlib繪製一個漂亮的繪圖函數。

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]) 

我想改變minorlocator。但我真的不知道要在哪裏更改代碼。 如果只有一個圖形我會操縱軸對象。但隨着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) 

問題解決後編輯。 結果應該看起來像下面的圖片，注意小勾號！

結果應該是這樣的圖像 http://i.stack.imgur.com/o1YPK.png

也許別人可以追加它。我不能，因爲我的名譽學分不夠。

Answer 1

請注意main page上的警告。如果你有一個足夠新的版本matplotlib這個工程。

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))