blob: 7f0d0d2e25ce1ef724c19aa532470ae0c09a8000 [file] [log] [blame]
from GChartWrapper import VerticalBarGroup
from GChartWrapper import Line
from GChartWrapper import constants
COLORS = ["1569C7", "81D8D0", "307D7E", "5CB3FF", "blue", "indigo"]
constants.MARKERS += 'E' # append E marker to available markers
def render_vertical_bar(title, legend, dataset, width=700, height=400, scale_x=None,
scale_y=None):
"""
Renders vertical bar group chart
:param legend - list of legend values.
Example: ['bar1', 'bar2', 'bar3']
:param dataset - list of values for each type (value, deviation)
Example:
[
[(10,(9,11)), (11, (3,12)), (10,(9,11))], # bar1 values
[(30,(29,33)),(35,(33,36)), (30,(29,33))], # bar2 values
[(20,(19,21)),(20,(13, 24)), (20,(19,21))] # bar 3 values
]
:param width - width of chart
:param height - height of chart
:param scale_x - x ace scale
:param scale_y - y ace scale
:returns url to chart
dataset example:
{
'relese_1': {
'randr': (1, 0.1),
'randwr': (2, 0.2)
}
'release_2': {
'randr': (3, 0.3),
'randwr': (4, 0.4)
}
}
"""
bar = VerticalBarGroup([], encoding='text')
bar.title(title)
values = []
deviations = []
for d in dataset:
val, dev = zip(*d)
display_dev = []
for i in range(len(val)):
display_dev.append((val[i]-dev[i], val[i]+dev[i]))
values.append(val)
# deviations.extend(zip(*dev))
deviations.extend(zip(*display_dev))
bar.dataset(values + deviations, series=len(values))
bar.axes.type('xyy')
bar.axes.label(2, None, 'kbps')
if scale_x:
bar.axes.label(0, *scale_x)
max_value = (max([max(l) for l in values + deviations]))
bar.axes.range(1, 0, max_value)
bar.axes.style(1, 'N*s*')
bar.axes.style(2, '000000', '13')
bar.scale(0, max_value)
bar.bar('r', '.1', '1')
for i in range(len(legend)):
bar.marker('E', '000000', '%s:%s' % ((len(values) + i*2), i),
'', '1:10')
bar.legend(*legend)
bar.color(*COLORS[:len(values)])
bar.size(width, height)
return bar
def render_lines(title, legend, dataset, scale_x, width=700, height=400):
line = Line([], encoding="text")
line.title(title)
line.dataset(dataset)
line.axes('xy')
max_value = (max([max(l) for l in dataset]))
line.axes.range(1, 0, max_value)
line.scale(0, max_value)
line.axes.label(0, *scale_x)
line.legend(*legend)
line.color(*COLORS[:len(legend)])
line.size(width, height)
return str(line)