如何在Bokeh中使用自定义标签作为刻度？

2 回答

• 15

  EDIT ：更新了Bokeh 0.12.5 ，但在另一个答案中也看到了更简单的方法 .

  这对我有用：

  import pandas as pd
  from bokeh.charts import Bar, output_file, show
  from bokeh.models import TickFormatter
  from bokeh.core.properties import Dict, Int, String
  
  class FixedTickFormatter(TickFormatter):
      """
      Class used to allow custom axis tick labels on a bokeh chart
      Extends bokeh.model.formatters.TickFormatte
      """
  
      JS_CODE =  """
          import {Model} from "model"
          import * as p from "core/properties"
  
          export class FixedTickFormatter extends Model
            type: 'FixedTickFormatter'
            doFormat: (ticks) ->
              labels = @get("labels")
              return (labels[tick] ? "" for tick in ticks)
            @define {
              labels: [ p.Any ]
            }
      """
  
      labels = Dict(Int, String, help="""
      A mapping of integer ticks values to their labels.
      """)
  
      __implementation__ = JS_CODE
  
  skills_list = ['cheese making', 'squanching', 'leaving harsh criticisms']
  pct_counts = [25, 40, 1]
  df = pd.DataFrame({'skill':skills_list, 'pct jobs with skill':pct_counts})
  p = Bar(df, 'index', values='pct jobs with skill', title="Top skills for ___ jobs", legend=False)
  label_dict = {}
  for i, s in enumerate(skills_list):
      label_dict[i] = s
  
  p.xaxis[0].formatter = FixedTickFormatter(labels=label_dict)
  output_file("bar.html")
  show(p)
  

  

  回复于 2024-04-29T20:34:08+08:00
• 3

  截至更近期的Bokeh版本（ 0.12.14 左右），这甚至更简单 . 固定的刻度可以直接作为"ticker"值传递，并且可以提供主要的标签覆盖以明确地为特定值提供自定义标签：

  from bokeh.io import output_file, show
  from bokeh.plotting import figure
  
  p = figure()
  p.circle(x=[1,2,3], y=[4,6,5], size=20)
  
  p.xaxis.ticker = [1, 2, 3]
  p.xaxis.major_label_overrides = {1: 'A', 2: 'B', 3: 'C'}
  
  output_file("test.html")
  
  show(p)
  

  

  ---

  注意：以下答案的旧版本是指 bokeh.charts API，该API已被弃用和删除

  截至最近的Bokeh版本（例如 0.12.4 或更新版本），现在使用 FuncTickFormatter 更容易完成：

  import pandas as pd
  from bokeh.charts import Bar, output_file, show
  from bokeh.models import FuncTickFormatter
  
  skills_list = ['cheese making', 'squanching', 'leaving harsh criticisms']
  pct_counts = [25, 40, 1]
  df = pd.DataFrame({'skill':skills_list, 'pct jobs with skill':pct_counts})
  p = Bar(df, 'index', values='pct jobs with skill', title="Top skills for ___ jobs", legend=False)
  label_dict = {}
  for i, s in enumerate(skills_list):
      label_dict[i] = s
  
  p.xaxis.formatter = FuncTickFormatter(code="""
      var labels = %s;
      return labels[tick];
  """ % label_dict)
  
  output_file("bar.html")
  show(p)
  

  回复于 2024-04-29T20:34:08+08:00