title: Plotting two data with greater difference
body: <pre><code>I have this data frame:
  import pandas  as pd
  
  In:
  
  
  df= pd.DataFrame({'Date':['2007-01-01 07:14:00','2007-01-01 
  07:25:00','2007-01-01 08:00:00','2007-01-01 09:14:00','2007-01-01 
  09:33:12'],'sent':[-0.32,0.34,-0.45,0.7,0.22],'var1': 
  [114,115,111,112,113],
  'var2':[110,111,115,112,109]})
  
  print(df) 
  _____________________________________
  out:
  
         Date             sent   var1 var2
  0   2007-01-01 07:14:00 -0.32   114 110
  1   2007-01-01 07:25:00 0.34    115 111
  2   2007-01-01 08:00:00 -0.45   111 115
  3   2007-01-01 09:14:00 0.70    112 112
  4   2007-01-01 09:33:12 0.22    113 109  
  </code></pre>
  
  <p><strong>Sample code</strong></p>
  
  <pre><code>import matplotlib.pyplot as plt
  plt.plot(df.Date,df.sent,label='sent')
  plt.plot(df.Date,df.var1,label='price1')
  plt.plot(df.Date,df.var2,label= 'price2')
  plt.show()
  </code></pre>
  
  <p><strong>Problem</strong></p>
  
  <p>I want to plot line chart using above three columns but the problem is that column <code>sent</code>  has very small values as compared to other columns and when I add columns <code>sent</code> it's zoom out too much and the plot becomes nearly 3 straight lines that is not a good presentation of the data. However, with <code>var1</code> and <code>var2</code> only, plot is looking fine. Any suggestion would be highly appreciable. Thanks.</p>
  
  <p>Primarily, I am using <code>plotly</code> to plot the data but I can also use matplotlib. </p>