title: Using Pandas to create DataFrame with Series, resulting in memory error
body: <p>I'm using Pandas library for remote sensing time series analysis. Eventually I would like to save my DataFrame to csv by using chunk-sizes, but I run into a little issue. My code generates 6 NumPy arrays that I convert to Pandas Series. Each of these Series contains a lot of items</p>
  
  <pre><code>&gt;&gt;&gt; prcpSeries.shape
  (12626172,)
  </code></pre>
  
  <p>I would like to add the Series into a Pandas DataFrame (df) so I can save them chunk by chunk to a csv file.</p>
  
  <pre><code>d = {'prcp': pd.Series(prcpSeries),
       'tmax': pd.Series(tmaxSeries),
       'tmin': pd.Series(tminSeries),
       'ndvi': pd.Series(ndviSeries),
       'lstm': pd.Series(lstmSeries),
       'evtm': pd.Series(evtmSeries)}
  
  df = pd.DataFrame(d)
  outFile ='F:/data/output/run1/_'+str(i)+'.out'
  df.to_csv(outFile, header = False, chunksize = 1000)
  d = None
  df = None
  </code></pre>
  
  <p>But my code get stuck at following line giving a Memory Error</p>
  
  <pre><code>df = pd.DataFrame(d)
  </code></pre>
  
  <p>Any suggestions? Is it possible to fill the Pandas DataFrame chunk by chunk?</p>