如何在散景图中旋转X轴标签? [英] How to rotate X-axis labels in bokeh figure?

问题描述

我刚刚开始使用Bokeh.在下面，我创建一些我用于

I'm just starting to use Bokeh. Below I create some args I use for the rect figure.

x_length = var_results.index * 5.5

将索引乘以5.5可为标签之间留出更多空间.

Multiplying the index by 5.5 gave me more room between labels.

names = var_results.Feature.tolist()
y_length = var_results.Variance
y_center = var_results.Variance/2

var_results是具有典型的，顺序的，非重复索引的Pandas数据框. var_results还有一个列Features，它是不重复的字符串，名称，最后它还有一个列Variance，它是dtype float.

var_results is a Pandas dataframe that has a typical, sequential, non-repeating index. var_results also has a column Features that is strings of non-repeated, names, and finally it has a column Variance which is dtype float.

r = figure(x_range = names, 
           y_range = (-0.05,.3), 
           active_scroll = 'wheel_zoom', 
           x_axis_label = 'Features', 
           y_axis_label = 'Variance')



r.rect(x_length, 
       y_center, 
       width=1, 
       height=y_length, 
       color = "#ff1200")
output_notebook()
show(r)

我实质上是在制作带有矩形的条形图.散景似乎是非常可定制的.但是从字面上看，我的图看起来很粗糙.

I'm essentially making a bar chart with rectangles. Bokeh seems to be very customizable. But my graph looks rough around the edges, literally.

如您所见，图表下方和x轴标题功能"上方存在丑陋的污迹.这是标签标题(在技术上为矩形标题).如何为标签留出空间或将标签旋转45度，以使标签易于阅读而不仅仅是重叠的混乱?

As you can see there is an ugly smudge just below the chart and above the x-axis title 'Features'. This is the label titles (technically the rectangle titles). How do I create space for and perhaps rotate to 45 degrees the labels so that they are readable and not just an overlapping mess?

推荐答案

为了旋转标签，例如向左90度，可以将major_label_orientation设置为π/2.这可以在创建轴元素时完成(如果使用低级绘图，则作为对轴构造函数的扭曲)，也可以在创建绘图/图形后完成，例如:

In order to rotate the labels e.g. by 90 degrees to the left, you can set major_label_orientation to π/2. This can be done either when creating the axis element (as a kwarg to the axis constructor if you are using low level plotting) or also after you have created a plot/figure, for instance by:

p.xaxis.major_label_orientation = math.pi/2

另请参见此示例在文档中.

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