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#!/usr/bin/env python
from __future__ import print_function
import matplotlib.pyplot as plot
import os
import shutil as sh
import sys
from collections import namedtuple
from optparse import OptionParser
from parse.col_map import ColMap
from parse.dir_map import DirMap
from parse.tuple_table import ReducedTupleTable
from plot.style import StyleMap
def parse_args():
parser = OptionParser("usage: %prog [options] [csv_dir]...")
parser.add_option('-o', '--out-dir', dest='out_dir',
help='directory for plot output', default='plot-data')
parser.add_option('-f', '--force', action='store_true', default=False,
dest='force', help='overwrite existing data')
return parser.parse_args()
ExpDetails = namedtuple('ExpDetails', ['variable', 'value', 'title', 'out'])
OUT_FORMAT = 'pdf'
def get_details(path, out_dir):
'''Decode a @path into details about a single experiment.'''
out = "_".join(path) if path else "plot"
out = "%s/%s.%s" % (out_dir, out, OUT_FORMAT)
value = path.pop(0) if path else None
variable = path.pop(0) if path else None
title = value.capitalize() if value else ""
title += " by %s" % variable if variable else ""
title += " (%s)" % (", ".join(path)) if path else ""
return ExpDetails(variable, value, title, out)
def plot_by_variable(plot_node, col_map, details):
'''Plot each .csv files under @plot_node as a line on a shared plot.'''
# Generate mapping of (column)=>(line property to vary) for consistently
# formatted plots
columns = list(col_map.columns())
if details.variable and details.variable in columns:
columns.remove(details.variable)
style_map = StyleMap(columns, col_map.get_values())
figure = plot.figure()
axes = figure.add_subplot(111)
# Create a line for each file node
for line_path, line_node in plot_node.children.iteritems():
# Create line style to match this configuration
encoded = line_path[:line_path.index(".csv")]
config = ColMap.decode(encoded)
style = style_map.get_style(config)
values = sorted(line_node.values, key=lambda tup: tup[0])
xvalues, yvalues = zip(*values)
plot.plot(xvalues, yvalues, style.fmt())
axes.set_title(details.title)
lines, labels = zip(*style_map.get_key())
axes.legend(tuple(lines), tuple(labels), prop={'size':10})
axes.set_ylabel(details.value)
axes.set_xlabel(details.variable)
axes.set_xlim(0, axes.get_xlim()[1] + 1)
axes.set_ylim(0, axes.get_ylim()[1] + 1)
plot.savefig(details.out, format=OUT_FORMAT)
def plot_dir(data_dir, out_dir, force):
sys.stderr.write("Reading data...\n")
dir_map = DirMap.read(data_dir)
sys.stderr.write("Creating column map...\n")
tuple_table = ReducedTupleTable.from_dir_map(dir_map)
col_map = tuple_table.get_col_map()
if not os.path.exists(out_dir):
os.mkdir(out_dir)
sys.stderr.write("Plotting...\n")
# Count total plots for % counter
num_plots = len([x for x in dir_map.leafs(1)])
plot_num = 0
for plot_path, plot_node in dir_map.leafs(1):
details = get_details(plot_path, out_dir)
if force or not os.path.exists(details.out):
plot_by_variable(plot_node, col_map, details)
plot_num += 1
sys.stderr.write('\r {0:.2%}'.format(float(plot_num)/num_plots))
sys.stderr.write('\n')
def main():
opts, args = parse_args()
args = args or [os.getcwd()]
if opts.force and os.path.exists(opts.out_dir):
sh.rmtree(opts.out_dir)
if not os.path.exists(opts.out_dir):
os.mkdir(opts.out_dir)
for dir in args:
plot_dir(dir, opts.out_dir, opts.force)
if __name__ == '__main__':
main()
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