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    <p>You seem to be saying that your <code>evnt_list</code> is a dictionary whose keys are strings and whose values are lists of strings. If so, then the CSV-writing code you've given in your question will write a string representation of a Python list into the second column. When you read anything in from CSV, it will just be a string, so once again you'll have a string representation of your list. For example, if you have a cell that contains <code>"['event1', 'event2']"</code> you will be reading in a string whose first character (at position 0) is <code>[</code>, second character is <code>'</code>, third character is <code>e</code>, etc. (I don't think your <code>tmp[1]</code> is right; I think it is really <code>'</code>, not <code>e</code>.)</p> <p>It sounds like you want to reconstruct the Python object, in this case a list of strings. To do that, use <code>ast.literal_eval</code>:</p> <pre><code>import ast cell_string_value = "['event1', 'event2']" cell_object = ast.literal_eval(cell_string_value) </code></pre> <p>Incidentally, the reason to use <code>ast.literal_eval</code> instead of just <code>eval</code> is safety. <code>eval</code> allows arbitrary Python expressions and is thus a security risk.</p> <p>Also, what is the purpose of the CSV, if you want to get the list back as a list? Will people be reading it (in Excel or something)? If not, then you may want to simply save the <code>evnt_list</code> object using <code>pickle</code> or <code>json</code>, and not bother with the CSV at all.</p> <p><strong>Edit:</strong> I should have read more carefully; the data from <code>evnt_list</code> is being <em>appended</em> to the CSV, and neither <code>pickle</code> nor <code>json</code> is easily appendable. So I suppose CSV is a reasonable and lightweight way to accumulate the data. A full-blown database might be better, but that would not be as lightweight.</p>
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    1. POWriting multiple values in single cell in csv
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    1. COI am doing research in recommendation systems. Currently I am creating scrappers to scrap the data.Next, I will be applying various algorithms on this data to find patterns.
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