如何让我的Bokeh Boxplot显示y轴上所有刻度线的值？

Question

我在Jupyter Notebook中运行Python，我在Notebook中运行了以下代码：

from bokeh.charts import BoxPlot, show
from bokeh.io import output_notebook
output_notebook ()

df = myfile2

p = BoxPlot(df, values='Total Spending', label=['Market'],color='Market', marker='square',
        whisker_color='black',legend=False, plot_width=800, plot_height=600,
        title="Total Spending, February 2017)")

p.xaxis.major_label_orientation = "horizontal"

show(p)

我的问题是y轴显示以下值和刻度线：

1000-
    -
    -
    -
    -
 500-
    -
    -
    -
    -
   0-

我想格式化该y轴，以便显示如下值：

   1000
    900
    800
    700
    ...
      0

可以在Bokeh中完成吗？

Answer 1

所以，我遇到了同样的问题并找到了这个威胁的解决方案：https://stackoverflow.com/a/27878536/2806632

基本上，您想要的是创建没有轴的图形，然后添加带有格式的轴。有点像：

from bokeh.models import SingleIntervalTicker, LinearAxis
from bokeh.charts import BoxPlot, show
from bokeh.io import output_notebook
output_notebook ()

df = myfile2

# See that x_axis_type is now None
p = BoxPlot(df, values='Total Spending', label=['Market'],color='Market', marker='square',
        whisker_color='black',legend=False, plot_width=800, plot_height=600,
        title="Total Spending, February 2017)", x_axis_type=None)


# Interval one, assuming your values where already (0,100,200...)
ticker = SingleIntervalTicker(interval=1, num_minor_ticks=0)
yaxis = LinearAxis(ticker=ticker)
p.add_layout(yaxis, 'left')
# I'm pretty sure you won't need this: p.xaxis.major_label_orientation = "horizontal"

show(p)