def get_chart_url(data):
chart = GroupedVerticalBarChart(800, 200, y_range=(0, max(data)))
chart.set_bar_width(3) #should be calculated
chart.set_bar_spacing(0)
chart.set_colours(['4D89F9'])
chart.add_data(data)
return chart.get_url()
def _get_bar_chart(width, height, data, background_color=None, colour=None):
data = sorted([(int(k), v) for (k,v) in data.items()])
min_ = min([x[1] for x in data])
max_ = max([x[1] for x in data])
chart = GroupedVerticalBarChart(width, height,
y_range=(min_, max_+30)) # add 30px for some extra space
chart.add_data([x[1] for x in data])
chart.set_axis_labels(pygooglechart.Axis.BOTTOM, [x[0] for x in data])
interval = (max_ - min_) / 10
if interval > 1000:
interval = 5000
elif interval > 500:
interval = 1000
elif interval > 100:
interval = 500
elif interval > 50:
interval = 100
else:
interval = 50
max_range = interval * (max_ / interval +1)
chart.set_axis_labels(pygooglechart.Axis.LEFT,
[str(x) for x in range(0, max_range, interval)])
if background_color:
chart.fill_solid(chart.BACKGROUND, background_color)
if colour:
chart.set_colours([colour])
return chart.get_url()
def PrintAverageCharts(dataviews):
# another chart that shows the deviation from the average over the week, as a bar chart
print '<table frame="border">'
ncols = 3
print '<tr><td colspan="%d" align="center" style="font-family:Arial;">Averaged Pollutants per day of week</td></tr>' % ncols
icharts = 0
for title, view in dataviews:
weekchart = dict([d, dict([k, []] for k in view.keys())] for d in range(7)) # for each day of the week, and for each data type an empty list
# for each dataset in this view, put datapoint into the list of the week day
for k in view:
data = view[k]
for iday in range(len(data)):
weekchart[(iday + firstweekday) % 7][k].append(data[iday])
# bar chart of averages per day
datasets = [ ]
max_y = None
for k in view:
data = [0. for i in range(7)]
for d in weekchart:
data[d] = sum(weekchart[d][k]) / len(weekchart[d][k])
datasets.append(data)
max_y = max(max_y, max(data))
# bar chart
c = GroupedVerticalBarChart(400, 250, y_range=[0, max_y])
c.set_bar_width(20/len(datasets))
c.set_bar_spacing(0)
if len(datasets) > 1:
c.set_legend([k[0] for k in view.keys()])
# Set the line colours
c.set_colours(['0000FF', 'FF0000'])
for data in datasets:
c.add_data(data)
# y axis labels
if max_y > 30:
left_axis = range(0, int(max_y) + 1, 5)
elif max_y > 10:
left_axis = range(0, int(max_y) + 1, 1)
elif max_y > 5:
left_axis = [ ]
v = 0.
while v < max_y + 0.5:
left_axis.append(v)
v += 0.5
else:
left_axis = [ ]
v = 0.
while v < max_y + 0.1:
left_axis.append(v)
v += 0.1
left_axis[0] = '' # no label at 0
c.set_axis_labels(Axis.LEFT, left_axis)
c.set_axis_labels(Axis.BOTTOM, [weekdays[d] for d in weekchart.keys()])
if icharts % ncols == 0:
print '%s<tr>' % (icharts > 0 and '</tr>' or '')
print '<td><img src="%s&chtt=%s"></td>' % (c.get_url(), title)
icharts += 1
print '</tr></table>'
commitsfile = open(datafile, 'r')
name = os.path.basename(datafile)
data_array = []
legend_array = []
chart = GroupedVerticalBarChart(400, 200,
y_range=(0, 40))
#chart.set_bar_width(25)
#chart.set_bar_width(25)
for line in commitsfile:
(legend, data) = line.split(' ')
data_array.append(int(data.strip()))
legend_array.append(legend)
print data_array
print legend_array
chart.add_data(data_array)
chart.set_axis_labels('x', legend_array)
chart.set_axis_labels('y', range(0,50,10))
chart.set_title(name.split('.')[0].upper()+" - # of developers/year")
print chart.get_url()
chart.download('images/committers_by_year_'+str(name.split('.')[0])+'.png')
def PrintAverageCharts(dataviews):
# another chart that shows the deviation from the average over the week, as a bar chart
print '<table frame="border">'
ncols = 3
print '<tr><td colspan="%d" align="center" style="font-family:Arial;">Averaged Pollutants per day of week</td></tr>' % ncols
icharts = 0
for title, view in dataviews:
weekchart = dict(
[d, dict([k, []] for k in view.keys())] for d in range(7)
) # for each day of the week, and for each data type an empty list
# for each dataset in this view, put datapoint into the list of the week day
for k in view:
data = view[k]
for iday in range(len(data)):
weekchart[(iday + firstweekday) % 7][k].append(data[iday])
# bar chart of averages per day
datasets = []
max_y = None
for k in view:
data = [0. for i in range(7)]
for d in weekchart:
data[d] = sum(weekchart[d][k]) / len(weekchart[d][k])
datasets.append(data)
max_y = max(max_y, max(data))
# bar chart
c = GroupedVerticalBarChart(400, 250, y_range=[0, max_y])
c.set_bar_width(20 / len(datasets))
c.set_bar_spacing(0)
if len(datasets) > 1:
c.set_legend([k[0] for k in view.keys()])
# Set the line colours
c.set_colours(['0000FF', 'FF0000'])
for data in datasets:
c.add_data(data)
# y axis labels
if max_y > 30:
left_axis = range(0, int(max_y) + 1, 5)
elif max_y > 10:
left_axis = range(0, int(max_y) + 1, 1)
elif max_y > 5:
left_axis = []
v = 0.
while v < max_y + 0.5:
left_axis.append(v)
v += 0.5
else:
left_axis = []
v = 0.
while v < max_y + 0.1:
left_axis.append(v)
v += 0.1
left_axis[0] = '' # no label at 0
c.set_axis_labels(Axis.LEFT, left_axis)
c.set_axis_labels(Axis.BOTTOM, [weekdays[d] for d in weekchart.keys()])
if icharts % ncols == 0:
print '%s<tr>' % (icharts > 0 and '</tr>' or '')
print '<td><img src="%s&chtt=%s"></td>' % (c.get_url(), title)
icharts += 1
print '</tr></table>'
