title: Pass DataFrame variable name as string
body: <p>I have the following function to plot a graph:</p>
  
  <pre><code>def plot_ATD(DataFrame):
      #Initialise 225V ATD plot
      fig = plt.figure()
      ax = fig.add_subplot(111)
      #take columns from data set and make to list which is passed to matplotlib to plot a graph
      x = DataFrame['Arrival Time (ms)'].tolist()
      y = DataFrame['Intensity'].tolist()
      line, = ax.plot(x,y, 'r-')
      #use numpy to get the max of Intensity, then determine the corresponding arrival time
      ymax = np.max(y)
      xpos = y.index(ymax)
      xmax = x[xpos]
      time = xmax
      #add an annotation point at the maxima giving the arrival time at this position
      # ax.annotate(s=text of annotation, xy=point to annotate, xytext=position to place text
      #              arrowprops=dict(facecolor=color of arrow))
      ax.annotate(s=xmax, xy=(xmax, ymax), xytext=(xmax+5, ymax+5),
                  arrowprops=dict(facecolor='orange'),
                 )
      #ax.set_ylim(0,600000)
      ax.set_xlim(0,20)
      plt.xlabel('Arrival time (ms)')
      plt.title(DataFrame.name)
      return plt.show()
  </code></pre>
  
  <p>I am using it on the following pandas DataFrames:</p>
  
  <pre><code>V100 = pd.read_csv('Documents/spreadsheets/Data/100V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
  V125 = pd.read_csv('Documents/spreadsheets/Data/125V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
  V150 = pd.read_csv('Documents/spreadsheets/Data/150V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
  V175 = pd.read_csv('Documents/spreadsheets/Data/175V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
  V200 = pd.read_csv('Documents/spreadsheets/Data/200V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
  V225 = pd.read_csv('Documents/spreadsheets/Data/225V_9z.csv', names=['Arrival Time (ms)', 'Intensity'])
  </code></pre>
  
  <p>I want to have the title of the graph to be the name of the DataFrame i.e. V100, V125 etc.</p>
  
  <p>I am not sure on the right syntax or how to do this? Please help!</p>