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我绘制了一个将两个 y 轴（即两个不同的 SI 刻度）与单个 x 轴相关联的图形。我必须放大一些值，并使用 Matplotlib 中的 zoom_inset_locator 技巧来管理它。我实现了缩放轴，但我缺少第二个 y 轴（参见下面的示例）：

两个 y 轴和插图缩放

它确实尝试再次使用 twinx() 添加第二个轴，但它失败了，因为它在主 twinx（右）轴上绘制轴，但在缩放右轴上留下空白刻度，似乎给 x 轴正确的处理， 见下文：

在此处输入图像描述

有什么解决方法吗？这是我用来绘制图形的代码：

import numpy,os,sys
import pylab
import scipy.optimize
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes
from mpl_toolkits.axes_grid1.inset_locator import mark_inset

# Initializing the curve
fig_cal=pylab.figure()
host_weight = fig_cal.add_subplot(111)
host_mass = host_weight.twinx()
Tension = numpy.linspace(0,0.08,100)
Weight = 0.5* Tension
Mass = Weight/9.81

# Plotting the curve

host_weight.plot(Tension, Weight, 'r', label='Fitted line',lw=2)
host_mass.plot(Tension, Mass)

# Cosmetic on the Figure
host_weight.set_xlabel("Tension U [$V$]")
host_weight.set_ylabel("Weight F [$N$]")
host_mass.set_ylabel("Mass M [$kg$]")
host_mass.set_ylim(host_weight.axis()[-2]/9.81, host_weight.axis()[-1]/9.81)
host_weight.grid(False)

# Zoom on the first measurement
zoom_weight = zoomed_inset_axes(host_weight, zoom = 7.5, bbox_to_anchor=(0.95,0.5), bbox_transform=host_weight.transAxes)
zoom_weight.plot(Tension[:4], Weight[:4], 'r', lw=2)
zoom_weight.set_xticks(zoom_weight.xaxis.get_majorticklocs()[::2])
zoom_weight.set_yticks(zoom_weight.yaxis.get_majorticklocs()[::2])
# zoom_mass = zoom_weight.twinx()

# zoom_mass.plot(Tension[:4], Mass[:4],alpha=0)
# zoom_mass.set_ylim(zoom_weight.axis()[-2]/9.81,zoom_weight.axis()[-1]/9.81)
mark_inset(host_weight, zoom_weight, loc1=2, loc2=4, fc="none", ec="0.5")

pylab.show()
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2 回答 2

0

您可以考虑使用代码格式化程序：

代码是这样的：

formatter = matplotlib.ticker.EngFormatter(unit='S', places=3)
formatter.ENG_PREFIXES[-6] = 'u'
plt.axes().yaxis.set_major_formatter(formatter)

看看这篇文章的情节是什么样的： matplotlib；十的分数次方；科学计数法

于 2012-11-15T00:02:35.723 回答
0

所以我找到了我的问题的答案......抱歉耽搁了，但我把这个问题搁置了......我确实找到了这个错误，但只是通过生成另一个缩放插图，使用 alpha 运河并禁用了很多解决方法的东西...

这是我的代码：

import numpy,os,sys
import pylab
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes
from mpl_toolkits.axes_grid1.inset_locator import mark_inset

# Initializing the curve
fig_cal=pylab.figure()
host_weight = fig_cal.add_subplot(111)
host_mass = host_weight.twinx()
Tension = numpy.linspace(0,0.08,100)
Weight = 0.5* Tension
Mass = Weight/9.81

# Plotting the curve
host_weight.plot(Tension, Weight, 'r', label='Fitted line',lw=2)
host_mass.plot(Tension, Mass, alpha=0)

# Cosmetic on the Figure
host_weight.set_xlabel("Tension U [$V$]")
host_weight.set_ylabel("Weight F [$N$]")
host_mass.set_ylabel("Mass M [$kg$]")
host_mass.set_ylim(host_weight.axis()[-2]/9.81, host_weight.axis()[-1]/9.81)
host_weight.grid(False)

# Zoom on the first measurement
zoom_weight = zoomed_inset_axes(host_weight, zoom = 7.5, bbox_to_anchor=(0.95,0.5), bbox_transform=host_weight.transAxes)
zoom_weight.plot(Tension[:4], Weight[:4], 'r', lw=2)
zoom_weight.set_xticks(zoom_weight.xaxis.get_majorticklocs()[::2])
zoom_weight.set_yticks(zoom_weight.yaxis.get_majorticklocs()[::2])
zoom_mass = zoomed_inset_axes(host_mass, zoom = 7.5, bbox_to_anchor=(0.95,0.5),     bbox_transform=host_mass.transAxes)
zoom_mass.xaxis.set_visible(False)
zoom_mass.spines['left'].set_visible(False)
zoom_mass.spines['top'].set_visible(False)
zoom_mass.patch.set_alpha(00)
zoom_mass.yaxis.tick_right()
zoom_mass.yaxis.set_label_position('right')
zoom_mass.yaxis.set_offset_position('right')
zoom_mass.plot(Tension[:4], Mass[:4],color='w', alpha=0)
zoom_mass.set_ylim(zoom_weight.axis()[-2]/9.81,zoom_weight.axis()[-1]/9.81)

pylab.show()

也许不是最好的方法，但它有效！

于 2013-01-18T21:27:18.533 回答