每个子图的旋转轴文本 [英] Rotating axis text for each subplot

问题描述

我正在尝试绘制散点矩阵.我以该线程中给出的示例为基础是有没有在 matplotlib 中制作散点图矩阵的函数?.在这里，我刚刚对代码进行了一些修改，以使所有子图可见该轴.修改后的代码如下

Im trying to plot a scatter matrix. I'm building on the example given in this thread Is there a function to make scatterplot matrices in matplotlib?. Here I have just modified the code slightly to make the axis visible for all the subplots. The modified code is given below

import itertools
import numpy as np
import matplotlib.pyplot as plt

def main():
    np.random.seed(1977)
    numvars, numdata = 4, 10
    data = 10 * np.random.random((numvars, numdata))
    fig = scatterplot_matrix(data, ['mpg', 'disp', 'drat', 'wt'],
            linestyle='none', marker='o', color='black', mfc='none')
    fig.suptitle('Simple Scatterplot Matrix')
    plt.show()

def scatterplot_matrix(data, names, **kwargs):
    """Plots a scatterplot matrix of subplots.  Each row of "data" is plotted
    against other rows, resulting in a nrows by nrows grid of subplots with the
    diagonal subplots labeled with "names".  Additional keyword arguments are
    passed on to matplotlib's "plot" command. Returns the matplotlib figure
    object containg the subplot grid."""
    numvars, numdata = data.shape
    fig, axes = plt.subplots(nrows=numvars, ncols=numvars, figsize=(8,8))
    fig.subplots_adjust(hspace=0.05, wspace=0.05)

    for ax in axes.flat:
        # Hide all ticks and labels
        ax.xaxis.set_visible(True)
        ax.yaxis.set_visible(True)

#        # Set up ticks only on one side for the "edge" subplots...
#        if ax.is_first_col():
#            ax.yaxis.set_ticks_position('left')
#        if ax.is_last_col():
#            ax.yaxis.set_ticks_position('right')
#        if ax.is_first_row():
#            ax.xaxis.set_ticks_position('top')
#        if ax.is_last_row():
#            ax.xaxis.set_ticks_position('bottom')

    # Plot the data.
    for i, j in zip(*np.triu_indices_from(axes, k=1)):
        for x, y in [(i,j), (j,i)]:
            axes[x,y].plot(data[x], data[y], **kwargs)

    # Label the diagonal subplots...
    for i, label in enumerate(names):
        axes[i,i].annotate(label, (0.5, 0.5), xycoords='axes fraction',
                ha='center', va='center')

    # Turn on the proper x or y axes ticks.
    for i, j in zip(range(numvars), itertools.cycle((-1, 0))):
        axes[j,i].xaxis.set_visible(True)
        axes[i,j].yaxis.set_visible(True)
    fig.tight_layout()
    plt.xticks(rotation=45)
    fig.show()
    return fig

main()

我似乎无法旋转所有子图的x轴文本.可以看出，我尝试了 plt.xticks(rotation=45) 技巧.但这似乎仅对最后一个子图执行旋转.

I cant seem to be able to rotate the x-axis text of all the subplots. As it can be seen, i have tried the plt.xticks(rotation=45) trick. But this seems to perform the rotation for the last subplot alone.

推荐答案

plt 仅作用于当前活动轴.您应该将其带入最后一个循环，在该循环中将某些标签的可见性设置为True:

plt only acts on the current active axes. You should bring it inside your last loop where you set some of the labels visibility to True:

# Turn on the proper x or y axes ticks.
for i, j in zip(range(numvars), itertools.cycle((-1, 0))):
    axes[j,i].xaxis.set_visible(True)
    axes[i,j].yaxis.set_visible(True)

    for tick in axes[i,j].get_xticklabels():
        tick.set_rotation(45)
    for tick in axes[j,i].get_xticklabels():
        tick.set_rotation(45)

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