残差图与主图不对齐 [英] Residual plot not aligned with main graph

问题描述

我的残差图有什么问题导致与我的主图不对齐?我的代码如下.

将 matplotlib.pyplot 导入为 plt来自 scipy 导入统计将 numpy 导入为 npx = np.array([0.030956,0.032956,0.034956,0.036956,0.038956,0.040956])y = np.array([10.57821088,11.90701212,12.55570876,13.97542486,16.05403248,16.36634177])yerr = [0.101614114,0.363255259,0.057234211,0.09289917,0.093288198,0.420165796]xerr = [0.00021]*len(x)fig1 = plt.figure(1)frame1=fig1.add_axes((.1,.3,.8,.6))m, b = np.polyfit(x, y, 1)打印 'gradient',m,'intercept',bplt.plot(x, m*x + b, '-', color='grey', alpha=0.5)plt.plot(x,y,'.',color='black',markersize=6)plt.errorbar(x,y,xerr=0,yerr=yerr,linestyle="None",color='black')plt.ylabel('$1/sqrt{F}$ $(N)$',fontsize=20)plt.autoscale(enable=True,axis=u'both',tight=True)plt.grid(假)frame2=fig1.add_axes((.1,.1,.8,.2))s = m*x+b #(np.sqrt(4*np.pi*8.85E-12)/2.23E-8)*x差异 = y-splt.plot(x, 差异, 'ro')frame2.set_ylabel('$Residual$',fontsize=20)plt.xlabel('$2s+d_0$$(m)$',fontsize=20)

解决方案

您可以指定轴限制.问题是自动缩放正在以不同的方式移动您的两个图.如果插入 2 行代码，每行都指定轴限制，它将修复它.

plt.axis([.030,.0415, 10, 17]) #line 17plt.axis([.030,.0415, -.6, .8]) #line 26

我相信这就是您要找的.

What is wrong with my residual plot that is causing to not be aligned with my main graph? My code is below.

import matplotlib.pyplot as plt
from scipy import stats
import numpy as np

x = np.array([0.030956,0.032956,0.034956,0.036956,0.038956,0.040956])
y = np.array([10.57821088,11.90701212,12.55570876,13.97542486,16.05403248,16.36634177])
yerr = [0.101614114,0.363255259,0.057234211,0.09289917,0.093288198,0.420165796]
xerr = [0.00021]*len(x)
fig1 = plt.figure(1)
frame1=fig1.add_axes((.1,.3,.8,.6))
m, b = np.polyfit(x, y, 1)
print 'gradient',m,'intercept',b
plt.plot(x, m*x + b, '-', color='grey', alpha=0.5) 
plt.plot(x,y,'.',color='black',markersize=6)
plt.errorbar(x,y,xerr=0,yerr=yerr,linestyle="None",color='black')
plt.ylabel('$1/sqrt{F}$ $(N)$',fontsize=20)
plt.autoscale(enable=True, axis=u'both', tight=True)
plt.grid(False)
frame2=fig1.add_axes((.1,.1,.8,.2))
s = m*x+b #(np.sqrt(4*np.pi*8.85E-12)/2.23E-8)*x
difference = y-s
plt.plot(x, difference, 'ro')
frame2.set_ylabel('$Residual$',fontsize=20)
plt.xlabel('$2s+d_0$ $(m)$',fontsize=20)

解决方案

you can specify the axis limits. the problem is that autoscale is moving your two plots differently. if you insert 2 lines of code, each specifying the axis limits, it will fix it.

plt.axis([.030,.0415, 10, 17])  #line 17
plt.axis([.030,.0415, -.6, .8]) #line 26

i believe this is what you're looking for.

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