Bokeh图形的X轴和Y轴标签。

Does anyone know how to add x and y axis title/labels for a Bokeh figure? E.g. X-axis: time, Y-axis: stock price.

有人知道如何为Bokeh图形添加x和y轴标题/标签吗?x轴:时间，y轴:股票价格。

Thanks a lot!

谢谢!

3 个解决方案

#1

Bokeh 0.11.1

As @bigreddot kindly points out, the user's guide section on axes now shows how to edit properties of existing axes. The way to do it is the same as before:

正如@bigreddot所指出的，用户在轴上的指导部分现在展示了如何编辑现有轴的属性。做这件事的方法和以前一样:

p = figure(width=300, height=300, x_axis_label='Initial xlabel')
p.xaxis.axis_label = 'New xlabel'

---

Bokeh 0.11

It has been added to the documentation, although it still seems to be missing from the docs for figure. You can set labels in a call to figure, or you can set them on an existing figure (dead link, see update for 0.11.1 above). The following demonstrates both:

它已经添加到文档中，尽管文档中似乎仍然缺少数据。您可以在一个调用中设置标签，或者您可以将它们设置为一个现有的图形(死链接，参见上面的0.11.1更新)。以下展示了:

p = figure(width=300, height=300, x_axis_label='Initial xlabel')
p.xaxis.axis_label = 'New xlabel'

---

Bokeh 0.5.0

In Bokeh 0.5.0, you can also use x_axis_label and y_axis_label, as in this example. Use it like so:

在Bokeh 0.5.0中，您还可以使用x_axis_label和y_axis_label，如本例中所示。使用它就像这样:

from bokeh.plotting import figure
figure(title = "My figure",
       x_axis_label = "Time",
       y_axis_label = "Stock price")

They can also be used in the same manner in bokeh.plotting.circle(). I believe, but have not tested it, that they work in the other plotting methods too.

在bokeh.plotting.circle()中也可以用同样的方式使用它们。我相信，但是没有测试过，他们也在其他的绘图方法中工作。

At any rate, this will be added to documentation soon. (See this issue).

无论如何，这将很快被添加到文档中。(见这个问题)。

#2

Check out this example: periodic table

看看这个例子:元素周期表。

You can also now give general plot related options (plot_width, title, etc.) to a call to figure(...) instead of the renderer function (circle, in that example)

现在，您还可以将一般的plot相关选项(plot_width, title，等等)提供给一个调用图(…)，而不是renderer函数(在那个例子中是circle)

#3

I came up with this technique to change axis labels using CustomJS:

我想出了这样一种技术，可以使用CustomJS来改变axis标签:

1. On your fig = figure(...) declaration, set x_axis_locationand y_axis_location where you don't want the final axis to be. For example, If you wanted to have the x-axis on the bottom and y-axis on the left in the final figure, set the following:

   在您的图=图(…)声明中，设置x_axis_locationand y_axis_location，您不希望最终的轴是。例如，如果你想让x轴在底部，y轴在最后一个图形的左边，设置如下:

   x_axis_location='above', y_axis_location='right'
   

2. Hide the original axes:

   隐藏原始轴:

   fig.xaxis.visible = None
   fig.yaxis.visible = None
   

3. Declare new axes and add them to the figure (i.e., add them to the opposite sides of the ones that you set in step 1):

   声明新的坐标轴，并将其添加到图中。，把它们加到你在第1步中设置的另一边:

   from bokeh.models import LinearAxis
   xaxis = LinearAxis(axis_label="Initial x-axis label")
   yaxis = LinearAxis(axis_label="Initial y-axis label")
   fig.add_layout(xaxis, 'below')
   fig.add_layout(yaxis, 'left')
   

4. Add the new axes to the arguments of CustomJS, where you can change their axis_labels:

   将新的坐标轴添加到CustomJS的参数中，在这里可以更改它们的axis_label:

   callback = CustomJS(args=dict(source=source,
                                 xaxis=xaxis,
                                 yaxis=yaxis), code="""
   
       xaxis.attributes.axis_label = "New x-axis label";
       yaxis.attributes.axis_label = "New y-axis label";
       xaxis.trigger('change');
       yaxis.trigger('change');
   
       """)