blob: e5b9bdaef88bd227b4d9d8e5d0d20bcf75c19acb (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
|
# displays stats as graph. assumes csv is in chronological order, with no
# overlapping sessions. as initial test: make a bar chart for time spent per
# tag, for every day
import pygal
import csv
import argparse
from collections import OrderedDict
import formatting as f
parser = argparse.ArgumentParser()
parser.add_argument("logfile", help="log file to display chart of",
type=argparse.FileType('r'))
args = parser.parse_args()
day_times = f.per_tag_per_day(args.logfile)
print(day_times)
for day in day_times:
chart = pygal.Bar()
for key, value in day.items():
if key == "date":
continue
chart.add(key, value)
chart.render_to_file(str(day["date"]+".svg"))
|
