sparse.py
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1 #!/usr/bin/python
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34 
35 
37 
38 PKG = 'diagnostic_analysis'
39 import roslib
40 roslib.load_manifest(PKG)
41 
42 import csv, os, sys
43 
44 
48 def make_sparse_skip(csv_file, skip):
49  output_file = csv_file[:-4] + '_sparse.csv'
50 
51  input_reader = csv.reader(open(csv_file, 'rb'))
52 
53  f = open(output_file, 'wb')
54  output_writer = csv.writer(f)
55 
56  skip_count = skip
57  for row in input_reader:
58  if skip_count == skip:
59  output_writer.writerow(row)
60  skip_count = 0
61 
62  skip_count = skip_count + 1
63 
64  return output_file
65 
66 
70 def make_sparse_length(csv_file, length):
71  output_file = csv_file[:-4] + '_sprs_len.csv'
72 
73  input_reader = csv.reader(open(csv_file, 'rb'))
74 
75  f = open(output_file, 'wb')
76  output_writer = csv.writer(f)
77 
78  # Calculate skip count for file
79  orig_len = len(open(csv_file, 'r').read().split('\n'))
80  skip = max(int(orig_len / length), 1)
81 
82  skip_count = skip
83  for row in input_reader:
84  if skip_count >= skip:
85  output_writer.writerow(row)
86  skip_count = 0
87 
88  skip_count = skip_count + 1
89 
90  return output_file
def make_sparse_length(csv_file, length)
Makes sparse CSV with the given number of rows.
Definition: sparse.py:70
def make_sparse_skip(csv_file, skip)
Makes sparse CSV by skipping every nth value.
Definition: sparse.py:48


diagnostic_analysis
Author(s): Kevin Watts, Brice Rebsamen , Eric Berger, Kevin Watts
autogenerated on Mon Feb 28 2022 22:18:15