根据数字阴影背景的特定部分

1 回答

• 0

  您可以在布局设置中使用Plotly的shape .

  

  import plotly
  import time
  import random
  import datetime
  
  #create some random input data
  N = 100
  
  starttime = time.time()
  x = [datetime.date.fromtimestamp(starttime - 60*60*24*N).strftime('%Y-%m-%d')]
  y = [10]
  for i in range(N):
      x.append(datetime.date.fromtimestamp(starttime - 60*60*24*N + i*60*60*24).strftime('%Y-%m-%d'))
      y.append(abs(y[-1] + random.randint(-7, 5 + int(N/25))))
  
  trace = plotly.graph_objs.Scatter(
      x = x,
      y = y,
      mode='line',
  )
  
  layout = dict(shapes = list())
  #highlight the minimum in red
  layout['shapes'].append(
      {
          'type': 'rect',
          'xref': 'x',
          'yref': 'paper',
          'x0': trace.x[trace.y.index(min(trace.y)) - 5],
          'y0': 0,
          'x1': trace.x[trace.y.index(min(trace.y)) + 5],
          'y1': max(trace.y),
          'fillcolor': '#ff0000',
          'opacity': 0.2,
          'line': {
              'width': 0,
          }
      }
  )
  
  #highlight the maximum in green
  layout['shapes'].append(
      {
          'type': 'rect',
          'xref': 'x',
          'yref': 'paper',
          'x0': trace.x[trace.y.index(max(trace.y)) - 5],
          'y0': 0,
          'x1': trace.x[(trace.y.index(max(trace.y)) + 5) - ((trace.y.index(max(trace.y)) + 6) % len(trace.y))],
          'y1': max(trace.y),
          'fillcolor': '#00ff00',
          'opacity': 0.2,
          'line': {
              'width': 0,
          }
      }
  )
  
  fig = dict(data=[trace], layout=layout)
  plotly.plotly.sign_in('user', 'token')
  plot_url = plotly.plotly.plot(fig)
  

  回复于 2024-05-01T23:21:31+08:00