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