IOError: [Errno 13] Permission denied: while exporting to .csv - python-2.7

Question

I'm just getting this error while trying to export data to a .csv format.
I've tried to run the application as administrator but it did not work.
Please help a rookie!
Here's the code:
import pandas as pd
tickers = ['AAPL', 'MSFT', 'XOM', 'BP']
portfolio_selection = pd.DataFrame()
for t in tickers:
portfolio_selection = wb.DataReader(tickers, 'google', start = '2005-1-1')['Close']
portfolio_selection
portfolio_selection.to_csv('C:\Users\PC\Documents\Lucas\Random_Folder')
Here's what i've got
--------------------------------------------------------------------------
IOError Traceback (most recent call last)
<ipython-input-6-0b1cec90f143> in <module>()
----> 1 portfolio_selection.to_csv('C:\Users\PC\Documents\Lucas\Random_Folder')
C:\Users\Pichau\Anaconda2\lib\site-packages\pandas\core\frame.pyc in to_csv(self, path_or_buf, sep, na_rep, float_format, columns, header, index, index_label, mode, encoding, compression, quoting, quotechar, line_terminator, chunksize, tupleize_cols, date_format, doublequote, escapechar, decimal)
1411 doublequote=doublequote,
1412 escapechar=escapechar, decimal=decimal)
-> 1413 formatter.save()
1414
1415 if path_or_buf is None:
C:\Users\Pichau\Anaconda2\lib\site-packages\pandas\io\formats\format.pyc in save(self)
1566 f, handles = _get_handle(self.path_or_buf, self.mode,
1567 encoding=self.encoding,
-> 1568 compression=self.compression)
1569 close = True
1570
C:\Users\Pichau\Anaconda2\lib\site-packages\pandas\io\common.pyc in _get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text)
374 if compat.PY2:
375 # Python 2
--> 376 f = open(path_or_buf, mode)
377 elif encoding:
378 # Python 3 and encoding
IOError: [Errno 13] Permission denied: 'C:\Users\PC\Documents\Lucas\Random_Folder'

Answer 1

I'm not sure what the error would look like on windows but I imagin it's because you need a file name. (On a Mac, your code would throw a IsADirectoryError: [Errno 21] Is a directory: Random_Folder)
Something like this should fix it:
portfolio_selection.to_csv('C:\Users\PC\Documents\Lucas\Random_Folder\portfolio_selection.csv')