1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
|
#!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
import argparse
import sys
def createSlice(columns):
"""convert an input string into a slice object"""
if columns == "all":
return slice(None)
# creates a numpy array
return np.int64(columns.split(","))
def combine_files(files):
"""reads a bunch of files and stacks their content together into one numpy
array. The number of data points in the columns will be set to the
shortest file.
"""
raw = []
min_len = sys.maxsize # max integer
for fname in files:
raw.append(np.genfromtxt(fname, delimiter=","))
min_len = min(len(raw[-1]), min_len)
data = raw[0][:min_len]
for d in raw[1:]:
data = np.hstack((data, d[:min_len]))
# in case only one column is given
if data.ndim == 1:
data = data.reshape(len(data), 1)
return data
def AudioPlot(files, slice):
data = combine_files(files)
plt.plot(data[:, slice])
plt.show()
def parseArguments():
p = argparse.ArgumentParser(
prog="AudioPlot",
formatter_class=argparse.RawDescriptionHelpFormatter,
description="""
Audioplot is a simple script for drawing graphs of values. It reads a simple
csv text file where each line needs to contain the same number of
comma-separated values, like so:
0, 0, 0
1, 2, 1
2, 4, 2
Each column will be plotted as a separate curve on the same time series.
Matplotlib is used to display the result.
This script is useful to compare the sample files produced by the engine test
of mixxx-test with the golden sample files.
""",
)
p.add_argument("files", type=str, nargs="+", help="file to plot from")
p.add_argument(
"-c",
"--columns",
type=str,
default="all",
help='lines to plot separated by a comma, default "all"',
)
return p.parse_args()
if __name__ == "__main__":
args = parseArguments()
AudioPlot(args.files, createSlice(args.columns))
|
