def _gen_Bar(data): vlabels = ['0'] def _average_files(gdata): return len(gdata[2]) / gdata[1] data.sort(key=lambda d: d[1], reverse=True) data = data[:10] bars = [[k[3], _average_files(k)] for k in data] labels = [k[0] for k in data] vlabels.extend([str(d[0]) for d in bars]) vlabels = [f for f in vlabels if int(f)] vlabels.sort(key=lambda t: int(t)) vlabels = ['0', vlabels[-1]] CairoPlot.bar_plot(filename, bars, width, height, border=10, grid=True, h_labels=labels, v_labels=vlabels)
def _gen_Bar(r):
data = {}
labels = []
bars = []
for k,g in itertools.groupby(r, lambda t: (t['committer_timeofday'].split(':')[0], t)):
hour = k[0]
if not data.get(hour):
data[hour] = 0
data[hour] += 1
data = [(k,v) for k,v in data.iteritems()]
data.sort(key=lambda d: d[0])
upper = 0
for k,v in data:
if v > upper:
upper = v
bars.append(v)
labels.append(k)
vlabels = ['0', str(upper)]
CairoPlot.bar_plot(filename, bars, width, height, border=10, grid=True, h_labels=labels, v_labels=vlabels)
def _gen_Donut(t): data = dict([(t[i][0], t[i][1]) for i in xrange(len(t))]) CairoPlot.donut_plot(filename, data, width, height, gradient=True, shadow=True)
def _gen_Pie(t): data = dict([(t[i][0], t[i][1]) for i in xrange(len(t))]) CairoPlot.pie_plot(filename, data, width, height, gradient=True)
def _gen_Bar(t): data = [c[1] for c in t] labels = [c[0] for c in t] vlabels = ['0', str(data[0])] CairoPlot.bar_plot(filename, data, width, height, border=10, grid=True, h_labels=labels, v_labels=vlabels)
