title: Matplotlib load data using for cycle
body: <p>I have to load 100 data files, every file has a name containing a progressive number: func_0.0.csv, func_0.1.csv, ..., func_9.9.csv</p>
  
  <pre><code>dati01={}
  x1={}
  y1={}
  fig=pl.figure()
  ax1=fig.add_subplot(111)
  
  for count in range(0,99):
  nome_file = "func_%1.1f.csv" %(0.1*count)
  dati01[count] = np.loadtxt(nome_file)
  x1[count], y1[count]=dati01[count][:,0], dati01[count][:,1]
  ax1.scatter(x1[count],y1[count], s=0.01, edgecolor=(count/1600., count/900, count/760.), label='')
  </code></pre>
  
  <p>the problem is that the interpreter gives me an error:</p>
  
  <pre><code> line 56, in &lt;module&gt;
   dati01[count] = np.loadtxt(nome_file)
   File "/usr/local/lib/python2.7/dist-packages/numpy/lib/npyio.py", line 848, in loadtxt
  items = [conv(val) for (conv, val) in zip(converters, vals)]
  ValueError: invalid literal for float(): 33.6033.682817
  </code></pre>
  
  <p>I cannot solve the problem, could anyone help me?</p>