title: Python: Pandas Memory Error
body: <p>I have a rather big dataset around 5287657 with around 15 columns. I was trying to create a pivot table and it gives me a <code>MemoryError</code> <strong>when trying to create the DataFrame</strong>.<br>
  The following is the eror message I am seeing:</p>
  
  <pre><code>File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 411, in __init__
    arrays, columns = _to_arrays(data, columns, dtype=dtype)
  File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 5472, in _to_arrays
    dtype=dtype)
  File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 5500, in _list_to_arrays
    coerce_float=coerce_float)
  File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 5555, in _convert_object_array
    for arr in content]
  File "inference.pyx", line 393, in pandas.lib.maybe_convert_objects (pandas\lib.c:32941)
  MemoryError
  </code></pre>
  
  <p>Is there any limit on the data we can manipulate using Pandas before a memory error occurs?</p>