• 基礎數據分析12堂課

人口金字塔

• 講義
• 影片

• 上傳csv檔案    

  from google.colab import files
  data = files.upload()

  台灣2019年各年齡層人口(Taiwan2019.csv)

  import pandas as pd
  import csv
  
  data = pd.read_csv('Taiwan2019.csv', skiprows = 1)
  data = data.transpose()[3:]
  print(data.head())
  
  men = data.iloc[2][1:]
  women = data.iloc[3][1:]
  women = women * -1
  
  y = list(range(0, 105, 5))
  
  from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
  import plotly.graph_objs as go
  
  layout = go.Layout(barmode='overlay')
  
  trace1 = go.Bar(y=y,
                 x=men,
                 orientation='h',
                 name='Men',
                 hoverinfo='x',
                 marker=dict(color='powderblue')
                 )
                 
  trace2 = go.Bar(y=y,
                 x=women,
                 orientation='h',
                 name='Women',
                 text=-1 * women.astype('int'),
                 hoverinfo='text',
                 marker=dict(color='seagreen')
                 )
                 
  data = [trace1, trace2]
  
  fig = go.Figure(data=data, layout=layout)
  
  iplot(fig, filename='bar_pyramid')