weight.py

import datetime
from matplotlib import dates as mpl_dates
import matplotlib.font_manager
from pylab import figure
import scipy.ndimage.filters as filters

fontfamily = ["Arial"]

dpi = 200.0

fig = figure(figsize=(1280.0/dpi, 1280.0/1.6/dpi), dpi=dpi)
ax = fig.add_subplot(111)

dates = []
weights = []
with open("weight.txt") as f:
	for line in f:
		ss = line.split()
		if len(ss) < 2: break
		dc = ss[0].split("/")
		if len(dc) < 2: break
		dates.append(datetime.datetime(2013, int(dc[0]), int(dc[1])))
		weights.append(float(ss[1]))

fig.suptitle(u"Kat\u2019s weight over time",
             family=fontfamily, size="large", weight="bold")

ax.set_xlabel("Date", family=fontfamily, weight="bold")
ax.set_xlim(min(dates) - datetime.timedelta(days=1), 
            max(dates) + datetime.timedelta(days=1))
fmt = mpl_dates.DateFormatter("%m/%d")
ax.xaxis.set_major_formatter(fmt)

ax.set_ylabel("Weight (lb)", family=fontfamily, weight="bold")
ax.set_ylim(200, 240)

ax.grid(axis="y", linestyle="-", color="#cccccc")

smoothed = filters.gaussian_filter1d(weights, 2, mode="nearest")
ax.plot_date(dates, smoothed, "-",  color="#d63632")
ax.plot_date(dates, weights,  "-", color="#1344fc")

for tick in ax.xaxis.get_ticklabels():
	tick.set_family(fontfamily)
for tick in ax.yaxis.get_ticklabels():
	tick.set_family(fontfamily)

fig.savefig("weight.png", dpi=dpi)