Python to generate nice looking SVG graph http://pygal.org/
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#!python
# $Id$
from operator import itemgetter, add
from lxml import etree
from util import flatten, float_range
from svg.charts.graph import Graph
class Line(Graph):
"""Line Graph"""
"""Show a small circle on the graph where the line goes from one point to
the next"""
show_data_points = True
show_data_values = True
"""Accumulates each data set. (i.e. Each point increased by sum of all
previous series at same point)."""
stacked = False
"Fill in the area under the plot"
area_fill = False
scale_divisions = None
#override some defaults
top_align = top_font = right_align = right_font = True
stylesheet_names = Graph.stylesheet_names + ['plot.css']
def max_value(self):
data = map(itemgetter('data'), self.data)
if self.stacked:
data = self.get_cumulative_data()
return max(flatten(data))
def min_value(self):
if self.min_scale_value:
return self.min_scale_value
data = map(itemgetter('data'), self.data)
if self.stacked:
data = self.get_cumulative_data()
return min(flatten(data))
def get_cumulative_data():
"""Get the data as it will be charted. The first set will be
the actual first data set. The second will be the sum of the
first and the second, etc."""
sets = map(itemgetter('data'), self.data)
if not sets: return
sum = sets.pop(0)
yield sum
while sets:
sum = map(add, sets.pop(0))
yield sum
def get_x_labels(self):
return self.fields
def calculate_left_margin(self):
super(self.__class__, self).calculate_left_margin()
label_left = len(self.fields[0]) / 2 * self.font_size * 0.6
self.border_left = max(label_left, self.border_left)
def get_y_label_values(self):
max_value = self.max_value()
min_value = self.min_value()
range = max_value - min_value
top_pad = (range / 20.0) or 10
scale_range = (max_value + top_pad) - min_value
scale_division = self.scale_divisions or (scale_range / 10.0)
if self.scale_integers:
scale_division = min(1, round(scale_division))
if max_value % scale_division == 0:
max_value += scale_division
labels = tuple(float_range(min_value, max_value, scale_division))
return labels
def get_y_labels(self):
return map(str, self.get_y_label_values())
def calc_coords(self, field, value, width = None, height = None):
if width is None: width = self.field_width
if height is None: height = self.field_height
coords = dict(
x = width * field,
y = self.graph_height - value * height,
)
return coords
def draw_data(self):
min_value = self.min_value()
field_height = self.graph_height - self.font_size*2*self.top_font
y_label_values = self.get_y_label_values()
y_label_span = max(y_label_values) - min(y_label_values)
field_height /= float(y_label_span)
field_width = self.field_width()
#line = len(self.data)
prev_sum = [0]*len(self.fields)
cum_sum = [-min_value]*len(self.fields)
coord_format = lambda c: '%(x)s %(y)s' % c
for line_n, data in reversed(list(enumerate(self.data, 1))):
apath = ''
if not self.stacked: cum_sum = [-min_value]*len(self.fields)
cum_sum = map(add, cum_sum, data['data'])
get_coords = lambda (i, val): self.calc_coords(i,
val,
field_width,
field_height)
coords = map(get_coords, enumerate(cum_sum))
paths = map(coord_format, coords)
line_path = ' '.join(paths)
if self.area_fill:
# to draw the area, we'll use the line above, followed by
# tracing the bottom from right to left
if self.stacked:
prev_sum_rev = list(enumerate(prev_sum)).reversed()
coords = map(get_coords, prev_sum_rev)
paths = map(coord_format, coords)
area_path = ' '.join(paths)
origin = paths[-1]
else:
area_path = "V%(graph_height)s" % vars(self)
origin = coord_format(get_coords((0,0)))
d = ' '.join((
'M',
origin,
'L',
line_path,
area_path,
'Z'
))
etree.SubElement(self.graph, 'path', {
'class': 'fill%(line_n)s' % vars(),
'd': d,
})
# now draw the line itself
etree.SubElement(self.graph, 'path', {
'd': 'M0 %s L%s' % (self.graph_height, line_path),
'class': 'line%(line_n)s' % vars(),
})
if self.show_data_points or self.show_data_values:
for i, value in enumerate(cum_sum):
if self.show_data_points:
circle = etree.SubElement(
self.graph,
'circle',
{'class': 'dataPoint%(line_n)s' % vars()},
cx = str(field_width*i),
cy = str(self.graph_height - value*field_height),
r = '2.5',
)
self.make_datapoint_text(
field_width*i,
self.graph_height - value*field_height - 6,
value + min_value
)
prev_sum = list(cum_sum)