[英]matplotlib errorbar plot - using a custom colormap
I'm trying to make an errorbar plot with different colors for each point along the x axis. 我正在尝试为x轴上的每个点制作一个具有不同颜色的误差线图。 The errorbar chart itself is coming out fine, but it bombs when I try to use a colormap, so I must be doing it wrong. 错误条形图本身可以很好地显示,但是当我尝试使用颜色图时它会炸弹,因此我必须做错了。 Here's a contrived example of what I'm trying to do: 这是我想要做的一个人为的示例:
import matplotlib.pyplot as plt
colors = ["b","g","c","m","y","k","r","g","c","m","y","k",
"b","g","c","m","y","k","r","g","c","m","y","k"]
xlabels = ['A','B','8','14']
xval = [0, 1, 2, 3]
yval = [0, 1, 4, 9]
yerr = [0.5, 0.4, 0.6, 0.9]
cmap = dict(zip( xval,colors))
Now after I run this I can go: 现在,运行此命令后,我可以去:
plt.errorbar(xval, yval, yerr=yerr, color='b')
and this gives me the chart shown below (ie, it works. But when I try to do this: 这给了我下面的图表(即,它可以工作。但是当我尝试这样做时:
plt.errorbar(xval, yval, yerr=yerr, color=cmap)
it gives me an error, like " ValueError: to_rgba: Invalid rgba arg "{0: 'b', 1: 'g', 2: 'c', 3: 'm'}" 它给了我一个错误,例如“ ValueError:to_rgba:Invalid rgba arg“ {0:'b',1:'g',2:'c',3:'m'}”
Is it possible to do what I'm tryng to do? 可以做我想做的事吗? Waht I am trying to do is to have each of the 4 points in the errorbar chart have a different color. 我试图做的是让误差条形图中的4个点中的每个点都有不同的颜色。 I wouldn't need the line connecting the points really. 我真的不需要连接这些点的线。 Appreciate any help/advice. 感谢任何帮助/建议。
I already mentioned that you can loop over each particular point/color. 我已经提到过,您可以遍历每个特定的点/颜色。
Another solution is to use a scatter
plot within your errorbar
plot, like in this question . 另一个解决方案是在您的errorbar
图中使用scatter
,就像这个问题一样 。 The code is below 代码如下
import matplotlib.pyplot as plt
colors = ["b","g","c","m","y","k","r","g","c","m","y","k",
"b","g","c","m","y","k","r","g","c","m","y","k"]
xlabels = ['A','B','8','14']
xval = [0, 1, 2, 3]
yval = [0, 1, 4, 9]
yerr = [0.5, 0.4, 0.6, 0.9]
plt.scatter(xval, yval, c=colors, s=50, zorder=3)
plt.errorbar(xval, yval, yerr=yerr, zorder=0, fmt="none",
marker="none")
plt.savefig("scatter_error.png", dpi=300)
plt.show()
With the following result 结果如下
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