...我们将使用Matplotlib的plot函数来绘制气象数据的整体趋势图, 然后使用mark_inset函数来创建一局部放大的子图,以便更详细地查看数据的某个特定部分。...import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.axes_grid1.inset_locator import...T
7. 建立父坐标系与子坐标系的连接线 # loc1 loc2: 坐标系的四个角# 1 (右上) 2 (左上) 3(左下) 4(右下)mark_inset(ax,axins,loc1=3,loc2=1,fc="none",ec='k',lw=1) loc1和loc2分别为父坐标系和子坐标系的四个角,取值为1,2,3,4,对应的四个角分别为:右上,左上,左下,右下。以...
3)参数bbox_to_anchor用来指定父坐标系的定位参考。 同一个模块中的另一个函数mark_inset()用于在父坐标系中绘制一个方框来表示主图中哪部分图形现在子图中,其完整语法如下, mark_inset(parent_axes, inset_axes, loc1, loc2, **kwargs) ( 1)参数parent_axes、inset_axes用来指定关联的父坐标系和子坐标系...
plt.show() 最简单的方法是结合“zoomed_inset_axes”和“mark_inset”,其描述和相关示例可以在这里找到:Overview of AxesGrid toolkit 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 ...
函数mark_inset画一个框以标记由插图表示区域的位置。并通过在拐角处绘制线条来显示与插入轴的连接,从而产生“放大”效果。参数loc1&2仅支持4个位置。 参数zoom在内部就是直接乘边框的长宽 abs(Bbox.width * zoom) + 2 * pad * fontsizeabs(Bbox.height * zoom) + 2 * pad * fontsize <@-< 乱 羽...
from mpl_toolkits.axes_grid1.inset_locator import mark_inset from mpl_toolkits.axes_grid1.inset_locator import inset_axes 1. 2. 3. 1.1 绘制初始图像 image = sitk.ReadImage('xxx.nii') # <class 'SimpleITK.SimpleITK.Image'> 支持dcm\nrrd\nii ...
importmatplotlib.pyplot as pltfrommpl_toolkits.axes_grid1.inset_locatorimportzoomed_inset_axesfrommpl_toolkits.axes_grid1.inset_locatorimportmark_insetimportnumpy as np fig, ax= plt.subplots(figsize=[5, 4]) y= x = range(-20,20) ax.plot(x,y) ...
importmatplotlib.pyplot as pltfrommpl_toolkits.axes_grid1.inset_locatorimportzoomed_inset_axesfrommpl_toolkits.axes_grid1.inset_locatorimportmark_insetimportnumpy as np fig, ax= plt.subplots(figsize=[5, 4]) y= x = range(-20,20) ax.plot(x,y) ...
mark_inset(ax1, ax2, loc1=2, loc2=4, fc="none", ec='0.5') Note that it is necessary to (re)plot the data you want to visualize in the inset axes, ax2, but mark_inset can be called before plotting the data: the box and marker lines are added when the canvas is rendered....
from mpl_toolkits.axes_grid1.inset_locator import mark_inset import numpy as np fig, ax = plt.subplots(figsize=[5, 4])y = x = range(-20,20)ax.plot(x,y)extent = [-3, 4, -4, 3]axins = zoomed_inset_axes(ax, 2, loc=1) # zoom = 6 axins.plot(x,y)# sub region of ...