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This article mainly explains the "python loop traversal how to separate data", the article explains the content is simple and clear, easy to learn and understand, the following please follow the editor's ideas slowly in depth, together to study and learn "python loop traversal how to separate data" bar!

Separation instructions

1. Create three lists for storage.

2. The filtered duplicate data. It is used to store the remaining data other than duplicate data. The index (that is, name) used to store all the data to be compared, where the empty name is removed.

Example

# coding=utf-8 # introduction of skip list headers relies on from itertools import islice import csv # for storing duplicate data re_l = [] # for storing data other than duplicated data ntreasl = [] # Index for storing all data to be compared (i.e. name) Remove the empty namevalues = [] # get the namewith open ('. / mRNA.csv', 'r') as f: # skip the list header values_reader = islice (f, 1, None) for value in values_reader: if len (value.split (',', 2) [1])! = 0: values.append (value.split (',') 2) [1]) # classify the data with open ('. / mRNA.csv', 'r') as F1: reader = islice (F1, 1, None) for row in reader: if not row.split (',' 1) [0] in values: n_l.append (row) else: # duplicate data re_l.append (row) # write duplicate data to remRNA.csvwith open ('. / remRNA.csv', 'w') as f2: re_cw = csv.writer (f2) for re_item in re_l: re_cw.writerow (re_item.split (' ) # write duplicate data to nmRNA.csvwith open ('. / nmRNA.csv', 'w') as f3: n_cw = csv.writer (f3) for n_item in nounl: n_cw.writerow (n_item.split (',')) Thank you for your reading The above is the content of "how to separate data with python loop traversal". After the study of this article, I believe you have a deeper understanding of how to separate data with python loop traversal, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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