• 基礎數據分析12堂課

三級產業分佈

• 講義

• https://www.cia.gov/library/publications/the-world-factbook/fields/214.html#JA

  import pandas as pd
  import numpy as np
  import csv
  
  country = ['臺灣', '日本', '南韓', '中國']
  
  p1 = [1.8,1.1,2.2, 7.9]
  p2 = [36, 30.1, 39.3, 40.5]
  p3 = [62.1, 68.7, 58.3, 51.6]
  
  # 匯入plotly套件，以便繪製視覺化圖形
  from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
  import plotly.graph_objs as go
  
  trace1 = go.Bar(
      x = country,
      y = p1,
      name = '第一級產業'
  )
  trace2 = go.Bar(
      x = country,
      y = p2,
      name = '第二級產業'
  )
  trace3 = go.Bar(
      x = country,
      y = p3,
      name = '第三級產業'
  )
  
  data = [trace1, trace2, trace3]
  
  layout = go.Layout(
      barmode='stack'
  )
  
  fig = go.Figure(data=data, layout=layout)
  
  iplot(fig, filename='stacked-bar.html')

  

  barmode

  barmode=‘stack’
  barmode=‘group’
  barmode=‘relative’