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annotate numerics/bar.py @ 104:889728b8d359

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minor cleanup
author Jeff Hammel <k0scist@gmail.com>
date Sun, 15 Mar 2015 08:53:30 -0700
parents 067aa27050a3
children 19a5c2fb52bb
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1 #!/usr/bin/env python
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2 # -*- coding: utf-8 -*-
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3
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4 """
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5 bar charts using bokeh
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6
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7 See:
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8 - http://bokeh.pydata.org/tutorial/solutions/gallery/olympics.html
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9 """
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10
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11 # imports
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12 import argparse
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13 import csv
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14 import os
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15 #import pandas as pd
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16 import sys
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17 from .read import CSVParser
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18 from bokeh.charts import Bar
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19 from bokeh.plotting import *
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20 from collections import OrderedDict
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21
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22 __all__ = ['bar_chart', 'main']
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23
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24 def bar_chart(data, output, title=None):
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25 """create a bar chart"""
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26
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27 bar = Bar(data, tools="pan,wheel_zoom,box_zoom,reset,resize")
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28 bar.filename(output)
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29 bar.width(len(data)*50)
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30 bar.show()
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31
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32 class BarChartParser(CSVParser):
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33 """command line options parser for bar charts"""
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34 # TODO: upstream to PlotParser
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35
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36 def __init__(self, **kwargs):
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37 kwargs.setdefault('formatter_class', argparse.RawTextHelpFormatter)
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38 kwargs.setdefault('description', __doc__)
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39 CSVParser.__init__(self, **kwargs)
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40 self.add_argument('-t', '--title', dest='title',
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41 help="plot title")
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42
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43
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44 def main(args=sys.argv[1:]):
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45 """CLI"""
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46
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47 # parse command line
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48 parser = BarChartParser()
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49 options = parser.parse_args(args)
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50
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51 # parse file
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52 # data = pd.read_csv(options.input, header=None, names=options.columns, index_col=0)
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53
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54 # generate bar chart
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55 # bar_chart(data, options.output, title=options.title or options.input.name)
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56
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57 if __name__ == '__main__':
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58 main()