title: Categorical bar chart in bokeh
body: <p>I have a dataframe</p>
  
  <pre><code>    Experience  Microsoft  SAS  Salesforce
  0     1 To 3          38   29          48
  1   12 To 18           4    2           4
  2     3 To 8          46   22          45
  3    8 To 12          12    6           8
  </code></pre>
  
  <p>In this I want Experience in x axis and Microsft,SAS,Salesforce in y axis </p>
  
  <p>what I tried till now:</p>
  
  <p>table2 = pd.read_csv('Experience.csv')</p>
  
  <p>full=table2.columns.tolist()
  full_val=table2.values.T.tolist()</p>
  
  <p>tech=table2.drop(['Experience'] , axis=1,)
  he=tech.max()</p>
  
  <p>data = {}</p>
  
  <p>for i in range(len(full)):
      data[full[i]] = full_val[i]</p>
  
  <pre><code>source = ColumnDataSource(data=dict(x=table2['Experience'],
                                      y=value1))
  
  
  p = figure(x_range=exp, y_range=(0, 50), plot_height=350, title="Experience wise opening",
             toolbar_location=None, tools="")
  
  
  p.vbar(x=dodge('x', -0.25, range=p.x_range), top='y', width=0.2, source=source,
              legend=value(key))
  
  
  p.show()
  </code></pre>
  
  <p>It shows only the last value of index that is salesforce .. I want to show all the values;</p>