如何在python中绘制没有曲线的单个点？
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How to plot individual points without curve in python?
提问by Physicist
I want to plot individual data points with error bars on a plot, but I don't want to have the curve. How can I do this? Are there some 'invisible' line style or can I set the line style colourless (but the marker still has to be visible)?
我想在图上用误差线绘制单个数据点，但我不想有曲线。我怎样才能做到这一点？是否有一些“不可见”的线条样式，或者我可以将线条样式设置为无色（但标记仍然必须可见）？
So this is the graph I have right now:
所以这是我现在的图表：
plt.errorbar(x5,y5,yerr=error5, fmt='o')
plt.errorbar(x3,y3,yerr=error3, fmt='o')
plt.plot(x3_true,y3_true, 'r--', label=(r'$\lambda = 0.3$'))
plot(x5_true, y5_true, 'b--', label=(r'$\lambda = 0.5$'))
plt.plot(x5,y5, linestyle=':', marker='o', color='red') #this is the 'ideal' curve that I want to add
plt.plot(x3,y3, linestyle=':', marker='o', color='red')
I want to keep the two dashed curve but I don't want the two dotted curve. How can I do this? And how can I change the color of the markers so I can have red points for the red curve, blue points for the blue curve?
我想保留两条虚线曲线，但我不想要两条虚线曲线。我怎样才能做到这一点？以及如何更改标记的颜色，以便红色曲线为红色点，蓝色曲线为蓝色点？
采纳答案by elyase
You can use scatter:
您可以使用scatter：
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 2*np.pi, 10)
y = np.sin(x)
plt.scatter(x, y)
plt.show()
Alternatively:
或者：
plt.plot(x, y, 's')
EDIT: If you want error bars you can do:
编辑：如果你想要误差线，你可以这样做：
plt.errorbar(x, y, yerr=err, fmt='o')
