title: plotting multiple dataframes as one plot
body: <p>I searched through this forum and unfortunatelly I do not know what am I doing wrong.
  I have three .csv files
  file1.csv</p>
  <pre><code>name     value     type
  model1   100.1     all
  model2   121.1     all
  model3   151.1     all
  </code></pre>
  <p>file2.csv</p>
  <pre><code>name     value     type
  model1   110.1     one
  model2   131.1     one
  model3   141.1     one
  model4   161.1     one
  model5   171.1     one
  </code></pre>
  <p>file3.csv</p>
  <pre><code>name     value     type
  model1   80.1      two
  model2   85.1      two
  model3   90.1      two
  model4   92.1      two
  model5   94.1      two
  </code></pre>
  <p>and i want to make plot which shows all three 'value' bars for each 'name' - thats why I add &quot;type&quot; column.</p>
  <p>So I made dataframe from each .csv file and named them df_file1, df_file2, df_file3. So I tried to make a plot:</p>
  <pre><code>df_all = pd.concat([df_file1, df_file2, df_file3])
  ax = (
       df_all
  ).plot(kind=&quot;bar&quot;, rot=45, figsize=(20,6), grid = True, color=['r', 'g', 'y'])
  
  for container in ax.containers:
      ax.bar_label(container)
  </code></pre>
  <p>but unfortunatelly my plot shows three bars for df_file1, five bars for df_file2, five bars for df_file3 instead of three bars for model1, three bars for model2,three bars for model3,three bars for model4 and three bars for model5 with each bar in different column</p>
  <p>Is there any way to make a plot just as I disribed it?</p>