将自定义图例添加到bokeh Bar [英] Add custom legend to bokeh Bar

问题描述

我的熊猫系列为:

>>> etypes
0    6271
1    6379
2     399
3     110
4    4184
5    1987

我想在散景中绘制条形图: p = Bar(etypes).但是对于图例，我只得到了 etypes 索引号，我试图使用此字典对其进行解密:

And I want to draw Bar chart in Bokeh: p = Bar(etypes). However for legend I get just etypes index number, which I tried to decrypt with this dictionary:

legend = {
    0: 'type_1',
    1: 'type_2',
    2: 'type_3',
    3: 'type_4',
    4: 'type_5',
    5: 'type_6',
}

通过将其传递给标签参数: p = Bar(etypes，label = legend)，但这没有用.同时传递 list(legend.values())无效.

by passing it to label argument: p = Bar(etypes, label=legend), but it didn't work. Also passing the list(legend.values()) does not work.

有什么想法如何在bokeh条形图中的熊猫系列上添加自定义图例?

Any ideas how to add custom legend on pandas series in bokeh Bar chart?

推荐答案

* Bokeh项目维护者的注意事项:此答案涉及过时且已弃用的API.有关使用现代且完全受支持的Bokeh API创建条形图的信息，请参阅其他响应.

*Note from Bokeh project maintainers: This answer refers to an obsolete and deprecated API. For information about creating bar charts with modern and fully supported Bokeh APIs, see the other response.

将系列转换为DataFrame，将图例添加为新列，然后在引号中引用该列名称作为标签.例如，如果您调用DataFrame'etypes'，数据列'values'和图例列'legend':

Convert the series to a DataFrame, add the legend as a new column and then reference that column name in quotes for label. For example, if you call your DataFrame 'etypes', data column 'values', and your legend column 'legend':

p = Bar(etypes, values='values', label='legend') 

如果绝对必须使用序列，则可以将序列传递到数据对象，然后将其传递给bokeh.例如:

If you absolutely must use a series, you can pass the series into a data object and then pass that to bokeh. For example:

legend = ['type1', 'type2', 'type3', 'type4', 'type5', 'type6']
data = {
    'values': etypes
    'legend': legend
}
p = Bar(data, values='values', label='legend')

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