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POReturning a row from a CSV, if specified value within the row matches condition
 

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    <p>Ahoy, I'm writing a Python script to filter some large CSV files.</p> <p>I only want to keep rows which meet my criteria.</p> <p>My input is a CSV file in the following format</p> <blockquote> <pre><code>Locus Total_Depth Average_Depth_sample Depth_for_17 chr1:6484996 1030 1030 1030 chr1:6484997 14 14 14 chr1:6484998 0 0 0 </code></pre> </blockquote> <p>I want to return lines where the Total_Depth is 0.</p> <p>I've been following <a href="https://stackoverflow.com/questions/3428532/how-to-import-a-csv-file-using-python-with-headers-intact-where-first-column-is">this answer</a> to read the data. But am stuck trying to parse over the rows and pull out the lines that meet my condition.</p> <p>Here is the code I have so far:</p> <pre><code>import csv f = open("file path", 'rb') reader = csv.reader(f) #reader object which iterates over a csv file(f) headers = reader.next() #assign the first row to the headers variable column = {} #list of columns for h in headers: #for each header column[h] = [] for row in reader: #for each row in the reader object for h, v in zip(headers, row): #combine header names with row values (v) in a series of tuples column[h].append(v) #append each value to the relevant column </code></pre> <p>I understand that my data is now in a dictionary format, and I want to filter it based on the "Total_Depth" key, but I am unsure how to do this. I'm aiming to use an 'if' statement to select the relevant rows, but not sure how to do this with the dictionary structure.</p> <p>Any advice would be greatly appreciated. SB :)</p>
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