散点图上的标称/分类轴 [英] Nominal/categorical axis on a scatter plot
本文介绍了散点图上的标称/分类轴的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
如何在散景中的散点图上生成标称/分类轴(像a, b, c
而不是1,2,3
这样的条目)?
How is it possible to generate a nominal/categorical axis (entries like a, b, c
instead of 1,2,3
) on a scatter plot in Bokeh?
想象一下应该绘制以下数据:
Imagine that the following data should be plotted:
a 0.5
b 10.0
c 5.0
我尝试了以下操作:
import bokeh.plotting as bk
# output to static HTML file
bk.output_file("scatter.html", title="scatter plot example")
x = ['a', 'b', 'c']
y = [0.5, 10.0, 5.0]
p = bk.figure(title = "scatter")
p.circle(x = x, y = y)
bk.show(p)
但是,这将生成一个空图.如果将x
数据更改为x = [1, 2, 3]
,则将按预期绘制所有内容.
However, this generates an empty plot. If the x
data is changed to x = [1, 2, 3]
everything gets plotted as expected.
如何在x轴上放置a, b, c
?
推荐答案
您需要明确提供类别列表作为x_range
或y_range
.参见:
You need to supply the list of categories as the x_range
or y_range
explicitly. See:
http://docs.bokeh.org/en/latest/docs/gallery/categorical.html
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