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python - Matplotlib,控制 mark_inset() 属性(kwargs)

转载 作者:太空宇宙 更新时间:2023-11-03 13:13:48 30 4
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我正在尝试使用带有插图缩放功能的 matplotlib 绘制绘图。我发现以下示例将生成带有插图的图:

import matplotlib.pyplot as plt

from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes
from mpl_toolkits.axes_grid1.inset_locator import mark_inset

import numpy as np


def get_demo_image():
from matplotlib.cbook import get_sample_data
import numpy as np
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)

fig, ax = plt.subplots(figsize=[5, 4])

# prepare the demo image
Z, extent = get_demo_image()
Z2 = np.zeros([150, 150], dtype="d")
ny, nx = Z.shape
Z2[30:30 + ny, 30:30 + nx] = Z

# extent = [-3, 4, -4, 3]
ax.imshow(Z2, extent=extent, interpolation="nearest",
origin="lower")

axins = zoomed_inset_axes(ax, 6, loc=1) # zoom = 6
axins.imshow(Z2, extent=extent, interpolation="nearest",
origin="lower")

# sub region of the original image
x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
axins.set_xlim(x1, x2)
axins.set_ylim(y1, y2)

plt.xticks(visible=False)
plt.yticks(visible=False)

# draw a bbox of the region of the inset axes in the parent axes and
# connecting lines between the bbox and the inset axes area
mark_inset(ax, axins, loc1=2, loc2=4, fc="none", ec="0.5")

plt.draw()
plt.show()

但是,我无法找到正确的参数来传递 mark_inset() 函数,以便使拳击线的线宽变粗,或者颜色线变红。

通过搜索文档,我找不到参数 fcec 分别代表什么。

最佳答案

zoomed_inset_axes 之后添加以下内容应该可以满足您的需要:

axins = zoomed_inset_axes(ax, 6, loc=1) 

for axis in ['top','bottom','left','right']:
axins.spines[axis].set_linewidth(3)
axins.spines[axis].set_color('r')

要更改插入线,请对红色进行如下更改:

mark_inset(ax, axins, loc1=2, loc2=4, fc="none", lw=2, ec='r')

为您提供以下类型的输出:

Matplot lib screenshot

Matplot 库为 mark_inset 定义了 fcec :

  • facecolorfc - mpl 颜色规范,或默认无,或“无”因为没有颜色。
  • edgecolorec - mpl 颜色规范,或无默认值,或“无”表示无颜色。

关于python - Matplotlib,控制 mark_inset() 属性(kwargs),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/35838111/

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