I'm trying to figure out why this command is taking on average over 14 seconds
to render a drawing of a fairly simple plot. If anyone has ideas, I'd really
appreciate some help.
fig = figure(figsize=(12.5,3.75), dpi=80,facecolor = 'y', edgecolor='b')
start_date = "20050710"
start_date += "T000000"
my_dates = list(rrule(DAILY, dtstart=parse(start_date), until=datetime.today()))
formatted_dates = [date2num(parse(start_date))]
for date in my_dates :
formatted_dates.append(date2num(date))
formatted_dates.append(date2num(datetime.today()))
y_ticks = []
for x in xrange(0,11):
my_string = str(x*10)+' Percent'
y_ticks.append(my_string)
yticks(arange(0.0, 1.1, .1), y_ticks)
y_data = rand(len(formatted_dates))
ax = fig.add_subplot(111)
ax.plot_date(formatted_dates, y_data, '-')
labels = ax.get_xticklabels()
setp(labels, rotation=20, fontsize=8)
ax.autoscale_view()
#xlabel('')
#ylabel('')
title('Could put start date and end date here')
grid(True)
canvas = FigureCanvasAgg(fig)
# 90% Run-time
############################################
############################################
canvas.draw()
############################################
############################################
imageSize = canvas.get_width_height()
imageRgb = canvas.tostring_rgb()
pilImage = Image.fromstring("RGB", imageSize, imageRgb)
pilImage.show()
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