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125 lines
4.3 KiB
Python
Executable File
125 lines
4.3 KiB
Python
Executable File
#!/usr/bin/env python
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# vim: tabstop=4 shiftwidth=4 softtabstop=4
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# Copyright 2019 Lenovo
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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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import argparse
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import fcntl
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import io
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import numpy as np
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import os
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import sixel
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import subprocess
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import sys
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class DumbWriter(sixel.SixelWriter):
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def restore_position(self, output):
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return
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def plot(gui, output, plotdata, bins):
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import matplotlib as mpl
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if not gui:
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mpl.use('Agg')
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import matplotlib.pyplot as plt
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n, bins, patches = plt.hist(plotdata, bins)
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plt.show()
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if not gui:
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if output:
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tdata = output
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else:
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tdata = io.BytesIO()
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plt.savefig(tdata)
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if not gui and not output:
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writer = DumbWriter()
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writer.draw(tdata)
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return n, bins
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def textplot(plotdata, bins):
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n, bins = np.histogram(plotdata, bins)
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labels = []
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for bin in bins:
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labels.append('{0:0.1f}'.format(bin))
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width = 80
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# Since this will be primarily piped into, hard to get
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# terminal width
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labelwidth = 0
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for lab in labels:
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if len(lab) > labelwidth:
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labelwidth = len(lab)
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width -= (labelwidth) + 1
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labelfmt = '{{0:>{0}s}}|'.format(labelwidth)
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maxn = 0.0
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for lgth in n:
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if lgth > maxn:
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maxn = float(lgth)
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for i in range(len(n)):
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print(labelfmt.format(labels[i]) + '=' * int(np.round((n[i]/maxn) * width)))
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return n, bins
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histogram = False
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aparser = argparse.ArgumentParser(description='Quick access to common statistics')
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aparser.add_argument('-c', type=int, default=0, help='Column number to analyze (default is last column)')
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aparser.add_argument('-s', default=False, action='store_true', help='Output histogram in sixel format')
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aparser.add_argument('-g', default=False, action='store_true', help='Open histogram in separate graphical window')
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aparser.add_argument('-o', default=None, help='Output histogram to the specified filename in PNG format')
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aparser.add_argument('-t', default=False, action='store_true', help='Output a histogram in text format')
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aparser.add_argument('-v', default=False, action='store_true', help='Attempt to list nodes relevant to each histogram bar (requires -s, -o, or -t)')
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aparser.add_argument('-b', type=int, default=10, help='Number of bins to use in histogram (default is 10)')
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args = aparser.parse_args(sys.argv[1:])
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plotdata = []
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data = sys.stdin.readline()
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nodebydatum = {}
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while data:
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node = None
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if ':' in data:
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node, data = data.split(':', 1)
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datum = float(data.split()[args.c - 1])
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if node:
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if datum in nodebydatum:
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nodebydatum[datum].add(node)
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else:
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nodebydatum[datum] = set([node])
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plotdata.append(datum)
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data = sys.stdin.readline()
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n = None
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if args.g or args.o or args.s:
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n, bins = plot(args.g, args.o, plotdata, bins=args.b)
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if args.t:
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n, bins = textplot(plotdata, bins=args.b)
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print('Samples: {5} Min: {3} Median: {0} Mean: {1} Max: {4} StandardDeviation: {2}'.format(np.median(plotdata), np.mean(plotdata), np.std(plotdata), np.min(plotdata), np.max(plotdata), len(plotdata)))
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if args.v and n is not None and nodebydatum:
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print('')
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currbin = bins[0]
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bins = bins[1:]
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currbinmembers = []
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for datum in sorted(nodebydatum):
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if datum > bins[0]:
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nextbin = None
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while len(bins) and bins[0] < datum:
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nextbin = bins[0]
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bins = bins[1:]
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if not nextbin:
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nextbin = np.max(plotdata)
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print('Entries between {0} and {1}'.format(currbin, nextbin))
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print('-' * 80)
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print(','.join(sorted(currbinmembers)))
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print('')
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print('')
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currbinmembers = []
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for node in nodebydatum[datum]:
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currbinmembers.append(node)
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