title: Pandas won't recognize date while reading csv
body: <p>I'm working on a script which reads in a .csv file with pandas and fills in a specific form.
  One column in the .csv file is a birthday-column.</p>
  <p>While reading the .csv I parse it with 'parse_dates' to get a datetime object so i can format it for my needs:</p>
  <pre><code>df = pd.read_csv('readfile1.csv',sep=';', parse_dates=['birthday'])
  </code></pre>
  <p>While it works perfectly with readfile1.csv, it won't work with readfile2.csv. But these files look exactly the same.</p>
  <p>The error i get makes me think that the automatic parsing to datetime through pandas is not working:</p>
  <pre><code>print(df.at[i,'birthday'].strftime(&quot;%d%m%Y&quot;))
  AttributeError: 'str' object has no attribute 'strftime'
  </code></pre>
  <p>In both cases the format of the birthday looks like:</p>
  <pre><code>'1965-05-16T12:00:00.000Z' #from readfile1.csv
  '1934-04-06T11:00:00.000Z' #from readfile2.csv
  </code></pre>
  <p>I can't figure out what's wrong. I checked the encoding of the files and both are 'UTF-8'. Any ideas?</p>
  <p>Thank you!
  Greetings</p>