Python matplotlib显示子批次对象中的单个图形

我有18个数据集，我已经使用plt.subplot显示了所有18个图形，如下所示

import matplotlib.pyplot as plt

f,ax_array=plt.subplots(6,3)
for i in range(0,6):
    for j in range(0,3):
        ax_array[i][j].plot(modified_data[3*i+j])
plt.show()
#modified data is my data set

---

我想做的是显示一个图表。例如，如何显示与ax_array[3][2]相对应的图形？

结果并非如此简单，最简单的解决方案是创建一个新图形，然后再次使用所需数据发出plot命令。跨多个图形共享轴对象是相当困难的

但是，下面的解决方案允许您使用shift+左键单击放大特定子批次

def add_subplot_zoom(figure):

    zoomed_axes = [None]
    def on_click(event):
        ax = event.inaxes

        if ax is None:
            # occurs when a region not in an axis is clicked...
            return

        # we want to allow other navigation modes as well. Only act in case
        # shift was pressed and the correct mouse button was used
        if event.key != 'shift' or event.button != 1:
            return

        if zoomed_axes[0] is None:
            # not zoomed so far. Perform zoom

            # store the original position of the axes
            zoomed_axes[0] = (ax, ax.get_position())
            ax.set_position([0.1, 0.1, 0.85, 0.85])

            # hide all the other axes...
            for axis in event.canvas.figure.axes:
                if axis is not ax:
                    axis.set_visible(False)

        else:
            # restore the original state

            zoomed_axes[0][0].set_position(zoomed_axes[0][1])
            zoomed_axes[0] = None

            # make other axes visible again
            for axis in event.canvas.figure.axes:
                axis.set_visible(True)

        # redraw to make changes visible.
        event.canvas.draw()

    figure.canvas.mpl_connect('button_press_event', on_click)

。将示例中的函数调用为：

import matplotlib.pyplot as plt

f,ax_array=plt.subplots(6,3)
for i in range(0,6):
    for j in range(0,3):
        ax_array[i][j].plot(modified_data[3*i+j])

add_subplot_zoom(f)

plt.show()