所以我遵循了这个帖子中的方法:
How can I plot the same figure standalone and in a subplot in Matplotlib?
正如他的例子所示,它实际上工作得很好。然而,有一个问题是我的图中有inset_axes图。因此,当它缩放时,所有的插图都保留下来,实际上与放大的图重叠。
然而,我不确定如何删除它们,甚至可能还放大与正在单击的子图一起的插图。
因此,在线程中,我使用了这个类来实现缩放:
class ZoomingSubplots(object):
def __init__(self, *args, **kwargs):
"""All parameters passed on to 'subplots`."""
self.fig, self.axes = plt.subplots(*args, **kwargs)
self._zoomed = False
self.fig.canvas.mpl_connect('button_press_event', self.on_click)
self.fig.subplots_adjust(hspace=0.3)
def zoom(self, selected_ax):
for ax in self.axes.flat:
ax.set_visible(False)
self._original_size = selected_ax.get_position()
selected_ax.set_position([0.125, 0.1, 0.775, 0.8])
selected_ax.set_visible(True)
self._zoomed = True
def unzoom(self, selected_ax):
selected_ax.set_position(self._original_size)
for ax in self.axes.flat:
ax.set_visible(True)
self._zoomed = False
def on_click(self, event):
if event.inaxes is None:
return
if self._zoomed:
self.unzoom(event.inaxes)
else:
self.zoom(event.inaxes)
self.fig.canvas.draw()然后,当我绘制时,我使用这个:
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
__name__ = '__main__':
subplots = ZoomingSubplots(2, 2)
for ax in subplots.axes.flat:
ax.plot(x, y)
axins = inset_axes(ax, width=1.3, height=0.9, loc=2)
axins.plot(x2, y2)
plt.show()但如上所述,所有子图的插图将保持在其位置,并与放大的图重叠。我如何才能改变这一点,这样他们就不会干预,甚至连次要情节的inset_plot也会保留并放大?
发布于 2020-12-02 23:22:43
我找不到一种方法来改变inset_axes的位置,可能是因为它们的位置和大小都锁定在它们的父轴上。
同时,这里有一个新的类,它自动创建inset_axes,并在单击其中一个基轴时隐藏/显示相关的inset_axes。
class ZoomingSubplotsWithInset(ZoomingSubplots):
def __init__(self, *args, inset_width=1.3, inset_height=0.9, inset_loc=2, **kwargs):
super(ZoomingSubplotsWithInset, self).__init__(*args, **kwargs)
self.inset_axes = []
for ax in self.axes.flat:
axins = inset_axes(ax, width=inset_width, height=inset_height, loc=inset_loc)
self.inset_axes.append(axins)
self.inset_axes = np.array(self.inset_axes)
def on_click(self, event):
if event.inaxes in self.axes.flat:
super(ZoomingSubplotsWithInset, self).on_click(event)
def zoom(self, selected_ax):
for ax in self.inset_axes.flat:
ax.set_visible(False)
super(ZoomingSubplotsWithInset, self).zoom(selected_ax)
# restore visibility of the inset_axes corresponding to the zoomed axes
_, _, i = selected_ax.get_geometry()
self.inset_axes[i-1].set_visible(True)
def unzoom(self, selected_ax):
for ax in self.inset_axes.flat:
ax.set_visible(True)
super(ZoomingSubplotsWithInset, self).unzoom(selected_ax)
if __name__ == '__main__':
N = 10
subplots = ZoomingSubplotsWithInset(2, 2)
for ax, axins in zip(subplots.axes.flat, subplots.inset_axes.flat):
x, y = np.random.random(size=(2, N))
x2, y2 = np.random.random(size=(2, N))
ax.plot(x, y)
axins.plot(x2, y2)
plt.show()https://stackoverflow.com/questions/65108723
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