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<p>所以我有一个情节是这样的:</p>
<p><a href="https://i.stack.imgur.com/2bAd5.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/2bAd5.png" alt="Plot"/></a></p>
<p>我希望x轴上的数字从1到10,这样我就可以把标签写为“时间(微秒)”</p>
<p>有办法吗?在</p>
<p>谢谢</p>
<p>有人要求查看代码。我故意把它排除在外,因为我的问题只是一个表示的例子——改变x轴上的值而不改变绘图显示的任何数据。考虑到我所需要的相对简单的东西,我使用的代码有点太过广泛,但作为参考,这里是:</p>
<pre><code>def Asymmetry(Ch1,Ch2):
#Turning Ch1 and Ch2 data into bins of equal size
timesCh1, bins1 = numpy.histogram(Ch1,bins=200)
timesCh2, bins2 = numpy.histogram(Ch2,bins=200)
#Converting the int values in the time arrays to flaot to allow for division in next line
timesCh1 = timesCh1.astype(numpy.float)
timesCh2 = timesCh2.astype(numpy.float)
#Combining Ch1 and Ch2 data to find asymmetry
Asymmetry = (timesCh1-timesCh2)/(timesCh1+timesCh2)
A0times = numpy.linspace(0,10E-6,200)
P_Lerror = numpy.sqrt(timesCh1)
P_Rerror = numpy.sqrt(timesCh2)
A0error = 2.0*(numpy.sqrt((1.0/(numpy.power(timesCh1 + timesCh2,4.0)))*(numpy.power(timesCh1,2.0)*numpy.power(P_Lerror,2.0)+numpy.power(timesCh2,2.0)*numpy.power(P_Rerror,2.0))))
#Asymmetry function
def A0(t, B, beta): #t = time, B = magnetic field, beta = detector angle
gamma = 851.616E6
return (-1.0/3.0)*((numpy.sin(gamma*B*t - beta)-numpy.sin(gamma*B*t + beta))/(2.0*beta))
popt,pcov = curve_fit(A0, A0times, Asymmetry,p0=(0.007,0.754),sigma=A0error, absolute_sigma=True)
errors=numpy.sqrt(numpy.diag(pcov))
#Set x-axis
new_time = numpy.linspace(0,10E-6,1000)
new_A0=A0(new_time,*popt)
pyplot.plot(A0times,Asymmetry, label = 'Raw data')
pyplot.errorbar(A0times,Asymmetry,yerr=A0error, fmt=None, label='Error bars')
pyplot.plot(new_time, new_A0,"r-", label = "Fitted data")
pyplot.legend(loc=4)
pyplot.title('py15csa - Asymmetry Data')
pyplot.xlabel('Time (microseconds)')
pyplot.ylabel('Asymmetry')
pyplot.show()
</code></pre>