如果要在較大的圖中插入一個較小的圖，則可以使用Axes，例如此處。問題是我不知道如何在子圖中執行相同的操作。我有幾個子圖，我想在每個子圖中繪制一個小圖。示例代碼將如下所示：import numpy as npimport matplotlib.pyplot as pltfig = plt.figure()for i in range(4): ax = fig.add_subplot(2,2,i) ax.plot(np.arange(11),np.arange(11),'b') #b = ax.axes([0.7,0.7,0.2,0.2]) #it gives an error, AxesSubplot is not callable #b = plt.axes([0.7,0.7,0.2,0.2]) #plt.plot(np.arange(3),np.arange(3)+11,'g') #it plots the small plot in the selected position of the whole figure, not inside the subplot有任何想法嗎？提前致謝！
3 回答
寶慕林4294392
TA貢獻2021條經驗 獲得超8個贊
我寫了一個非常類似于plt.axes的函數。您可以使用它來繪制子子圖。有一個例子...
import matplotlib.pyplot as plt
import numpy as np
def add_subplot_axes(ax,rect,axisbg='w'):
fig = plt.gcf()
box = ax.get_position()
width = box.width
height = box.height
inax_position = ax.transAxes.transform(rect[0:2])
transFigure = fig.transFigure.inverted()
infig_position = transFigure.transform(inax_position)
x = infig_position[0]
y = infig_position[1]
width *= rect[2]
height *= rect[3] # <= Typo was here
subax = fig.add_axes([x,y,width,height],axisbg=axisbg)
x_labelsize = subax.get_xticklabels()[0].get_size()
y_labelsize = subax.get_yticklabels()[0].get_size()
x_labelsize *= rect[2]**0.5
y_labelsize *= rect[3]**0.5
subax.xaxis.set_tick_params(labelsize=x_labelsize)
subax.yaxis.set_tick_params(labelsize=y_labelsize)
return subax
def example1():
fig = plt.figure(figsize=(10,10))
ax = fig.add_subplot(111)
rect = [0.2,0.2,0.7,0.7]
ax1 = add_subplot_axes(ax,rect)
ax2 = add_subplot_axes(ax1,rect)
ax3 = add_subplot_axes(ax2,rect)
plt.show()
def example2():
fig = plt.figure(figsize=(10,10))
axes = []
subpos = [0.2,0.6,0.3,0.3]
x = np.linspace(-np.pi,np.pi)
for i in range(4):
axes.append(fig.add_subplot(2,2,i))
for axis in axes:
axis.set_xlim(-np.pi,np.pi)
axis.set_ylim(-1,3)
axis.plot(x,np.sin(x))
subax1 = add_subplot_axes(axis,subpos)
subax2 = add_subplot_axes(subax1,subpos)
subax1.plot(x,np.sin(x))
subax2.plot(x,np.sin(x))
if __name__ == '__main__':
example2()
plt.show()
牛魔王的故事
TA貢獻1830條經驗 獲得超3個贊
您現在可以使用matplotlibs inset_axes方法執行此操作（請參閱docs）：
from mpl_toolkits.axes_grid.inset_locator import inset_axes
inset_axes = inset_axes(parent_axes,
width="30%", # width = 30% of parent_bbox
height=1., # height : 1 inch
loc=3)
更新：正如Kuti所指出的，對于matplotlib 2.1版或更高版本，您應該將import語句更改為：
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
現在，還有一個完整的示例顯示了所有可用的選項。
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