Prettied up parse output.

1 files changed, 115 insertions, 0 deletions

diff --git a/plot_exps.py b/plot_exps.py
index 06f43b0..46784bc 100644..100755
--- a/plot_exps.py
+++ b/plot_exps.py
@@ -1,7 +1,77 @@
 #!/usr/bin/env python
 from __future__ import print_function
 
+import os
+import re
+import plot
+import shutil as sh
+
+from collections import defaultdict
 from optparse import OptionParser
+from gnuplot import Plot, curve
+from random import randrange
+
+class StyleMaker(object):
+    LINE_WIDTH = 1.5
+    POINT_SIZE = 0.6
+    BEST_COLORS = [
+            '#ff0000', # red
+            '#000001', # black
+            '#0000ff', # blue
+            '#be00c4', # purple
+            '#ffd700', # yellow
+            ]
+
+    def __init__(csvs):
+        self.main_key, self.col_map = __find_columns(csvs)
+        self.cur_style = 1
+
+        # Use this for least-common varying attribute
+        self.main_map = {}
+        # Everything else is a color
+        self.color_map = TupleTable(self.col_map)
+
+    def __find_columns(csvs):
+        vals = defaultdict(lambda:set)
+
+        for csv in csvs:
+            to_decode = os.path.splitext(csv_file)[0]
+            params = plot.decode(to_decode)
+            for k,v in params.iteritems:
+                vals[k].add(v)
+
+        try:
+            main_key = min([(k,v) for (k,v) in thing.iteritems() if len(v) > 1],
+                key=operator.itemgetter(1))[0]
+        except ValueError:
+            main_key = None
+
+        col_map = ColMap()
+        for k,v in vals.iterkeys():
+            if k == self.main_key: continue
+            for i in v:
+                self.col_map.try_add(k, i)
+        return (main_key, col_map)
+
+    def __rand_color():
+        return "#%s" % "".join([hex(randrange(0, 255))[2:] for i in range(3)])
+
+    def get_style(csv):
+        to_decode = os.path.splitext(csv_file)[0]
+        params = plot.decode(to_decode)
+
+        if kv not in self.color_map:
+            color = best.pop() if BEST_COLORS else __rand_color()
+            self.color_map.add_exp(params, color)
+
+        if self.main_key in params:
+            val = params[self.main_key]
+            if val not in self.main_map:
+                self.main_map[val] = self.cur_style
+                self.cur_style += 1
+            style = self.main_map[val]
+        else:
+            style = 1
 
 def parse_args():
     parser = OptionParser("usage: %prog [options] [csv_dir]...")
@@ -13,9 +83,54 @@ def parse_args():
 
     return parser.parse_args()
 
+def get_label(kv):
+    label = []
+    for key, value in kv.iteritems():
+        label += ["%s=%s" % (key.capitalize(), value)]
+    return ", ".join(label)
+
+def add_line(plot, csv_file):
+    to_decode = os.path.splitext(csv_file)[0]
+    params = plot.decode(to_decode)
+
+def get_stat(path, name):
+    full  = os.path.abspath(path)
+    rstr  = r"(?P<STAT>[^/]+)/((max|min|var|avg)/)*(%s/?)?$" % name
+    regex = re.compile(rstr, re.I | re.M)
+    match = regex.search(full)
+    return match.group("STAT")
+
+def plot_exp(name, data_dir, out_dir):
+    p = Plot()
+    p.format = 'pdf'
+    p.output = "%s/%s.pdf" % (out_dir, name)
+    p.xlabel = name.replace("vary-", "")
+    p.ylabel = get_stat(data_dir, name)
+    p.font   = 'Helvetica'
+    p.dashed_lines  = True
+    p.enhanced_text = True
+    p.size          = ('5.0cm', '5.0cm')
+    p.font_size     = '6pt'
+    p.key           = 'on bmargin center horizontal'
+
+    csvs = [f for f in os.listdir(data_dir) if re.match("*.csv", f)]
+    col_map = get_col_map(csvs)
+
+
 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 exp in args:
+        name = os.path.split(exp)[1]
+        out_dir = "%s/%s" % (opts.out_dir, exp)
+
+        plot_exp(name, exp, out_dir)
+
 if __name__ == '__main__':
     main()