title: How to fix AttributeError: 'Series' object has no attribute 'find'?
body: <p>I am trying to play with some online data, and having some trouble plotting it due to an 'Attribute' error in the plot function</p>
  
  <pre><code># Reading data from an online data sets
  import pandas as pd
  import requests, zipfile, StringIO
  r = requests.get('https://archive.ics.uci.edu/ml/machine-learning-databases/00287/Activity Recognition from Single Chest-Mounted Accelerometer.zip')
  z = zipfile.ZipFile(StringIO.StringIO(r.content))
  activity_files = [name for name in z.namelist() if name.endswith('.csv')]
  
  # Loading it to a pandas dataframe
  z_data = z.read(activity_files[4]).split('\n')
  activity_data = pd.DataFrame([z.split(',') for z in z_data], columns=('Seq','Ax','Ay','Az','Label'))
  
  
  # Filtering
  working_desk_data = activity_data[activity_data.Label == '1']
  standing_data = activity_data[activity_data.Label == '3']
  walking_data = activity_data[activity_data.Label == '4']
  
  # Plotting
  plt.plot(walking_data['Seq'], walking_data['Ax']) # &lt;--- Error
  plt.plot(walking_data['Seq'], walking_data['Ay']) # &lt;--- Error
  plt.plot(walking_data['Seq'], walking_data['Az']) # &lt;--- Error
  plt.show()
  </code></pre>
  
  <p>Any workarounds or pointing me to the right direction would be helpful ? I can plot the following, so I am clearly misunderstanding something above.</p>
  
  <pre><code>plt.plot(range(1,5), [1,2,1,2])
  plt.show()
  </code></pre>
  
  <p>Edit: (Added data for Julien Spronck)</p>
  
  <pre><code>walking_data.head()
  Out[12]:
  Seq Ax  Ay  Az  Label
  22950   22950   1978    2386    1988    4
  22951   22951   1977    2387    1990    4
  22952   22952   1983    2390    1994    4
  22953   22953   1978    2396    1994    4
  22954   22954   1980    2387    1992    4
  
  walking_data.columns
  Out[79]:
  Index([u'Seq', u'Ax', u'Ay', u'Az', u'Label'], dtype='object')
  In [80]:
  
  type(walking_data.Seq)
  Out[80]:
  pandas.core.series.Series
  In [81]:
  
  type(walking_data.Ax)
  Out[81]:
  pandas.core.series.Series
  </code></pre>