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79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
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# Copyright 2024 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" Plot the stats contained in the .csv file generated by the test_kraepelin_algorithm
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unit test (when STATS_FILE_NAME is defined).
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"""
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import argparse
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import csv
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import datetime
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import json
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import logging
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import os
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import struct
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import sys
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import matplotlib.pyplot as pyplot
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##################################################################################################
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def plot_stats(args, rows, stat_name):
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# Get the vmc and score for each of the stepping epochs
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stepping_vmcs = []
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stepping_scores = []
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non_stepping_vmcs = []
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non_stepping_scores = []
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for row in rows:
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if int(row['epoch_type']) == 0:
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non_stepping_vmcs.append(int(row['vmc']))
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non_stepping_scores.append(int(row[stat_name]))
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elif int(row['epoch_type']) == 2:
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stepping_vmcs.append(int(row['vmc']))
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stepping_scores.append(int(row[stat_name]))
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pyplot.plot(stepping_vmcs, stepping_scores, 'go',
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non_stepping_vmcs, non_stepping_scores, 'ro')
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pyplot.show()
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##################################################################################################
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if __name__ == '__main__':
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# Collect our command line arguments
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parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument('infile', help="The input csv file")
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parser.add_argument('--plot', choices=['score_0', 'score_lf', 'total'],
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default='score_0',
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help="Which metric to plot against vmc")
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parser.add_argument('--debug', action='store_true', help="Turn on debug logging")
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args = parser.parse_args()
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level = logging.INFO
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if args.debug:
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level = logging.DEBUG
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logging.basicConfig(level=level)
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# Read in the csv file
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col_names = None
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rows = []
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with open(args.infile, 'rb') as csvfile:
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reader = csv.reader(csvfile)
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for row in reader:
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if reader.line_num == 1:
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col_names = [x.strip() for x in row]
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else:
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rows.append(dict(zip(col_names, row)))
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# Plot now
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plot_stats(args, rows, args.plot)
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