条形图的散景对数刻度 [英] Bokeh logarithmic scale for Bar chart

问题描述

我知道我可以使用绘图API对背景虚化刻度:

p = figure(
    tools="pan,box_zoom,reset,previewsave",
    y_axis_type="log", y_range=[0.001, 10**22], title="log axis example",
    x_axis_label='sections', y_axis_label='particles'
)

但是，我无法弄清楚如何将其应用于诸如Bokeh.charts.Bar.之类的高级图表.通常，我很难理解Chart和.谁能指出我有关此文档的内容，或解释如何修改仅通过图形显示的内容，并使它们影响我的图表.

解决方案

本周，我将特别更新描述不同Bokeh API的文档，但现在，这三个Bokeh API的级别"升序排列:/p>

• 模型接口:最低级别的API，基本序列化层，必须手动将所有内容放在一起
• 字形界面(bokeh.plotting):中级API，可以轻松创建以视觉字形为中心的图/图，其属性与数据相关联
• 图表界面(bokeh.charts):用于罐装/示意图统计图表的高级API，例如"BoxPlot"和直方图".

figure与各种图表函数之间没有特殊关系，只是它们都生成Plot的子类作为输出.

我不确定当前是否可以在图表"界面中向对数图添加对数轴(这是添加的合理功能).但是，使用中间的字形"界面(使用rect或quad字形)手动"制作箱形图将很简单.这是一个简单的示例:

from bokeh.plotting import figure, output_file, show

output_file("bars.html")

p = figure(title="log bar example", y_axis_type="log")

p.quad(
    bottom=0, top=[10**5, 10**8, 10**3], 
    left=[0, 2, 4], right=[1,3,5]
)

show(p)  

I know that I can do logarithmic scales with bokeh using the plotting API:

p = figure(
    tools="pan,box_zoom,reset,previewsave",
    y_axis_type="log", y_range=[0.001, 10**22], title="log axis example",
    x_axis_label='sections', y_axis_label='particles'
)

However, I can't figure out how to get this to apply to high level charts such as Bokeh.charts.Bar. In general I'm having a lot of trouble grokking what to relationship is between a Chart and a figure. Can anyone point me to some documentation on this or explain how to modify things which are only exposed through figure and have them affect my Chart.

解决方案

I am specifically going to update the documentation describing the different Bokeh APIs this week, but for now, the three Bokeh APIs in increasing order of "level":

• models interface: lowest level API, base serialization layer, must put everything together everything manually
• glyphs interface (bokeh.plotting): mid-level API, easily create plots/figures centered around visual glyphs with attributes tied to data
• charts interface (bokeh.charts): high level API for canned/schematic statistical charts, e.g. "BoxPlot" and "Histogram".

There is no particular relation between figure and the various chart functions, except that they both produces subclasses of Plot as output.

I am not sure it is currently possible to add a log axis to the Bar plot in "charts" interface (that would be a reasonable feature to add). However it would be simple to make a boxplot "by hand" using the middle "glyphs" interface using rect or quad glyphs. Here is a quick example:

from bokeh.plotting import figure, output_file, show

output_file("bars.html")

p = figure(title="log bar example", y_axis_type="log")

p.quad(
    bottom=0, top=[10**5, 10**8, 10**3], 
    left=[0, 2, 4], right=[1,3,5]
)

show(p)  

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