Переглянути джерело

Prettify chart a bit.

tags/v0.1^2
Ben Kurtovic 13 роки тому
джерело
коміт
63a30d2247
1 змінених файлів з 17 додано та 10 видалено
  1. +17
    -10
      bot/tasks/afc_history.py

+ 17
- 10
bot/tasks/afc_history.py Переглянути файл

@@ -168,33 +168,40 @@ class Task(BaseTask):
return counts

def generate_chart(self, data):
plt.title(self.graph.get("title", "AfC submissions by date"))
plt.xlabel(self.graph.get("xaxis", "Date"))
plt.ylabel(self.graph.get("yaxis", "Submissions"))

pends = [d[STATUS_PEND] for d in data.itervalues()]
declines = [d[STATUS_DECLINE] for d in data.itervalues()]
accepts = [d[STATUS_ACCEPT] for d in data.itervalues()]
pends_declines = [p + d for p, d in zip(pends, declines)]
ind = arange(len(data))
xsize = self.graph.get("xsize", 1200)
ysize = self.graph.get("xsize", 900)
ysize = self.graph.get("ysize", 900)
width = self.graph.get("width", 1)
xstep = self.graph.get("xAxisStep", 6)
pcolor = self.graph.get("pendingColor", "y")
dcolor = self.graph.get("declinedColor", "r")
acolor = self.graph.get("acceptedColor", "g")
pcolor = self.graph.get("pendingColor", "#f3eba3")
dcolor = self.graph.get("declinedColor", "#ffcdd5")
acolor = self.graph.get("acceptedColor", "#adfcad")

p1 = plt.bar(ind, pends, width, color=pcolor)
p2 = plt.bar(ind, declines, width, color=dcolor, bottom=pends)
p3 = plt.bar(ind, accepts, width, color=acolor, bottom=pends_declines)

plt.title("AfC submissions per date")
plt.ylabel("Submissions")
plt.xlabel("Date")
plt.legend((p1[0], p2[0], p3[0]), ("Pending", "Declined", "Accepted"),
loc="upper left")

xticks = arange(xstep-1, ind.size+xstep-1, xstep) + width/2.0
xlabels = [d for c, d in zip(count(1), data.keys()) if not c % xstep]
plt.xticks(xticks, xlabels)
plt.yticks(arange(0, plt.ylim()[1], 10))
plt.tick_params(direction="out")

leg = plt.legend((p1[0], p2[0], p3[0]), ("Pending", "Declined",
"Accepted"), loc="upper left", fancybox=True)
leg.get_frame().set_alpha(0.5))

fig = plt.gcf()
fig.set_size_inches(xsize/100, ysize/100)
fig.autofmt_xdate()

ax = plt.gca()
ax.grid(True, axis="x")

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