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Sorry but i dislike tabs

pull/8/head
Florian Mounier 13 years ago
parent
b8bf45e51b
commit
5389606e86
15 changed files with 2445 additions and 2446 deletions
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  1. 3
      license.txt
  2. 86
      setup.py
  3. 364
      svg/charts/bar.py
  4. 114
      svg/charts/css.py
  5. 1336
      svg/charts/graph.py
  6. 324
      svg/charts/line.py
  7. 562
      svg/charts/pie.py
  8. 626
      svg/charts/plot.py
  9. 568
      svg/charts/schedule.py
  10. 328
      svg/charts/time_series.py
  11. 252
      svg/charts/util.py
  12. 268
      tests/samples.py
  13. 28
      tests/test_plot.py
  14. 8
      tests/test_samples.py
  15. 24
      tests/test_time_series.py

3
license.txt
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@ -1,8 +1,7 @@
The MIT License
Copyright © 2008 Jason R. Coombs
Copyright © 2011 Kozea
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal

86
setup.py
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@ -7,9 +7,9 @@ from setuptools import find_packages
from distutils.cmd import Command
class DisabledTestCommand(Command):
user_options = []
def __init__(self, dist):
raise RuntimeError("test command not supported on svg.charts. Use setup.py nosetests instead")
user_options = []
def __init__(self, dist):
raise RuntimeError("test command not supported on svg.charts. Use setup.py nosetests instead")
_this_dir = os.path.dirname(__file__)
_readme = os.path.join(_this_dir, 'readme.txt')
@ -17,48 +17,48 @@ _long_description = open(_readme).read().strip()
# it seems that dateutil 2.0 only works under Python 3
dateutil_req = (
['python-dateutil>=1.4,<2.0dev'] if sys.version_info < (3,0)
else ['python-dateutil>=2.0'] )
['python-dateutil>=1.4,<2.0dev'] if sys.version_info < (3,0)
else ['python-dateutil>=2.0'] )
setup_params = dict(
name = "svg.charts",
use_hg_version=True,
description = "Python SVG Charting Library",
long_description = _long_description,
author = "Jason R. Coombs",
author_email = "jaraco@jaraco.com",
url = "http://svg-charts.sourceforge.net",
packages = find_packages(),
zip_safe=True,
namespace_packages=['svg'],
include_package_data = True,
install_requires=[
'cssutils>=0.9.8a3',
'lxml>=2.0',
] + dateutil_req,
license = "MIT",
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 2.6",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
],
entry_points = {
},
# Don't use setup.py test - nose doesn't support it
# see http://code.google.com/p/python-nose/issues/detail?id=219
cmdclass=dict(
test=DisabledTestCommand,
),
setup_requires=[
'hgtools',
],
use_2to3 = True,
name = "svg.charts",
use_hg_version=True,
description = "Python SVG Charting Library",
long_description = _long_description,
author = "Jason R. Coombs",
author_email = "jaraco@jaraco.com",
url = "http://svg-charts.sourceforge.net",
packages = find_packages(),
zip_safe=True,
namespace_packages=['svg'],
include_package_data = True,
install_requires=[
'cssutils>=0.9.8a3',
'lxml>=2.0',
] + dateutil_req,
license = "MIT",
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 2.6",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
],
entry_points = {
},
# Don't use setup.py test - nose doesn't support it
# see http://code.google.com/p/python-nose/issues/detail?id=219
cmdclass=dict(
test=DisabledTestCommand,
),
setup_requires=[
'hgtools',
],
use_2to3 = True,
)
if __name__ == '__main__':
from setuptools import setup
setup(**setup_params)
from setuptools import setup
setup(**setup_params)

364
svg/charts/bar.py
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@ -6,83 +6,83 @@ from svg.charts.graph import Graph
__all__ = ('VerticalBar', 'HorizontalBar')
class Bar(Graph):
"A superclass for bar-style graphs. Do not instantiate directly."
# gap between bars
bar_gap = True
# how to stack adjacent dataset series
# overlap - overlap bars with transparent colors
# top - stack bars on top of one another
# side - stack bars side-by-side
stack = 'overlap'
scale_divisions = None
stylesheet_names = Graph.stylesheet_names + ['bar.css']
def __init__(self, fields, *args, **kargs):
self.fields = fields
super(Bar, self).__init__(*args, **kargs)
# adapted from Plot
def get_data_values(self):
min_value, max_value, scale_division = self.data_range()
result = tuple(float_range(min_value, max_value + scale_division, scale_division))
if self.scale_integers:
result = map(int, result)
return result
# adapted from plot (very much like calling data_range('y'))
def data_range(self):
min_value = self.data_min()
max_value = self.data_max()
range = max_value - min_value
data_pad = range / 20.0 or 10
scale_range = (max_value + data_pad) - min_value
scale_division = self.scale_divisions or (scale_range / 10.0)
if self.scale_integers:
scale_division = round(scale_division) or 1
return min_value, max_value, scale_division
def get_field_labels(self):
return self.fields
def get_data_labels(self):
return map(str, self.get_data_values())
def data_max(self):
return max(chain(*map(lambda set: set['data'], self.data)))
# above is same as
# return max(map(lambda set: max(set['data']), self.data))
def data_min(self):
if not getattr(self, 'min_scale_value') is None: return self.min_scale_value
min_value = min(chain(*map(lambda set: set['data'], self.data)))
min_value = min(min_value, 0)
return min_value
def get_bar_gap(self, field_size):
bar_gap = 10 # default gap
if field_size < 10:
# adjust for narrow fields
bar_gap = field_size / 2
# the following zero's out the gap if bar_gap is False
bar_gap = int(self.bar_gap) * bar_gap
return bar_gap
"A superclass for bar-style graphs. Do not instantiate directly."
# gap between bars
bar_gap = True
# how to stack adjacent dataset series
# overlap - overlap bars with transparent colors
# top - stack bars on top of one another
# side - stack bars side-by-side
stack = 'overlap'
scale_divisions = None
stylesheet_names = Graph.stylesheet_names + ['bar.css']
def __init__(self, fields, *args, **kargs):
self.fields = fields
super(Bar, self).__init__(*args, **kargs)
# adapted from Plot
def get_data_values(self):
min_value, max_value, scale_division = self.data_range()
result = tuple(float_range(min_value, max_value + scale_division, scale_division))
if self.scale_integers:
result = map(int, result)
return result
# adapted from plot (very much like calling data_range('y'))
def data_range(self):
min_value = self.data_min()
max_value = self.data_max()
range = max_value - min_value
data_pad = range / 20.0 or 10
scale_range = (max_value + data_pad) - min_value
scale_division = self.scale_divisions or (scale_range / 10.0)
if self.scale_integers:
scale_division = round(scale_division) or 1
return min_value, max_value, scale_division
def get_field_labels(self):
return self.fields
def get_data_labels(self):
return map(str, self.get_data_values())
def data_max(self):
return max(chain(*map(lambda set: set['data'], self.data)))
# above is same as
# return max(map(lambda set: max(set['data']), self.data))
def data_min(self):
if not getattr(self, 'min_scale_value') is None: return self.min_scale_value
min_value = min(chain(*map(lambda set: set['data'], self.data)))
min_value = min(min_value, 0)
return min_value
def get_bar_gap(self, field_size):
bar_gap = 10 # default gap
if field_size < 10:
# adjust for narrow fields
bar_gap = field_size / 2
# the following zero's out the gap if bar_gap is False
bar_gap = int(self.bar_gap) * bar_gap
return bar_gap
def float_range(start = 0, stop = None, step = 1):
"Much like the built-in function range, but accepts floats"
while start < stop:
yield float(start)
start += step
"Much like the built-in function range, but accepts floats"
while start < stop:
yield float(start)
start += step
class VerticalBar(Bar):
""" # === Create presentation quality SVG bar graphs easily
""" # === Create presentation quality SVG bar graphs easily
#
# = Synopsis
#
@ -134,115 +134,115 @@ class VerticalBar(Bar):
# * SVG::Graph::Plot
# * SVG::Graph::TimeSeries
"""
top_align = top_font = 1
def get_x_labels(self):
return self.get_field_labels()
def get_y_labels(self):
return self.get_data_labels()
def x_label_offset(self, width):
return width / 2.0
def draw_data(self):
min_value = self.data_min()
unit_size = (float(self.graph_height) - self.font_size*2*self.top_font)
unit_size /= (max(self.get_data_values()) - min(self.get_data_values()))
bar_gap = self.get_bar_gap(self.get_field_width())
bar_width = self.get_field_width() - bar_gap
if self.stack == 'side':
bar_width /= len(self.data)
x_mod = (self.graph_width - bar_gap)/2
if self.stack == 'side':
x_mod -= bar_width/2
bottom = self.graph_height
for field_count, field in enumerate(self.fields):
for dataset_count, dataset in enumerate(self.data):
# cases (assume 0 = +ve):
# value min length
# +ve +ve value - min
# +ve -ve value - 0
# -ve -ve value.abs - 0
value = dataset['data'][field_count]
left = self.get_field_width() * field_count
length = (abs(value) - max(min_value, 0)) * unit_size
# top is 0 if value is negative
top = bottom - ((max(value,0) - min_value) * unit_size)
if self.stack == 'side':
left += bar_width * dataset_count
rect = etree.SubElement(self.graph, 'rect', {
'x': str(left),
'y': str(top),
'width': str(bar_width),
'height': str(length),
'class': 'fill%s' % (dataset_count+1),
})
self.make_datapoint_text(left + bar_width/2.0, top-6, value)
top_align = top_font = 1
def get_x_labels(self):
return self.get_field_labels()
def get_y_labels(self):
return self.get_data_labels()
def x_label_offset(self, width):
return width / 2.0
def draw_data(self):
min_value = self.data_min()
unit_size = (float(self.graph_height) - self.font_size*2*self.top_font)
unit_size /= (max(self.get_data_values()) - min(self.get_data_values()))
bar_gap = self.get_bar_gap(self.get_field_width())
bar_width = self.get_field_width() - bar_gap
if self.stack == 'side':
bar_width /= len(self.data)
x_mod = (self.graph_width - bar_gap)/2
if self.stack == 'side':
x_mod -= bar_width/2
bottom = self.graph_height
for field_count, field in enumerate(self.fields):
for dataset_count, dataset in enumerate(self.data):
# cases (assume 0 = +ve):
# value min length
# +ve +ve value - min
# +ve -ve value - 0
# -ve -ve value.abs - 0
value = dataset['data'][field_count]
left = self.get_field_width() * field_count
length = (abs(value) - max(min_value, 0)) * unit_size
# top is 0 if value is negative
top = bottom - ((max(value,0) - min_value) * unit_size)
if self.stack == 'side':
left += bar_width * dataset_count
rect = etree.SubElement(self.graph, 'rect', {
'x': str(left),
'y': str(top),
'width': str(bar_width),
'height': str(length),
'class': 'fill%s' % (dataset_count+1),
})
self.make_datapoint_text(left + bar_width/2.0, top-6, value)
class HorizontalBar(Bar):
rotate_y_labels = True
show_x_guidelines = True
show_y_guidelines = False
right_align = right_font = True
def get_x_labels(self):
return self.get_data_labels()
def get_y_labels(self):
return self.get_field_labels()
def y_label_offset(self, height):
return height / -2.0
def draw_data(self):
min_value = self.data_min()
unit_size = float(self.graph_width)
unit_size -= self.font_size*2*self.right_font
unit_size /= max(self.get_data_values()) - min(self.get_data_values())
bar_gap = self.get_bar_gap(self.get_field_height())
bar_height = self.get_field_height() - bar_gap
if self.stack == 'side':
bar_height /= len(self.data)
y_mod = (bar_height / 2) + (self.font_size / 2)
for field_count, field in enumerate(self.fields):
for dataset_count, dataset in enumerate(self.data):
value = dataset['data'][field_count]
top = self.graph_height - (self.get_field_height() * (field_count+1))
if self.stack == 'side':
top += (bar_height * dataset_count)
# cases (assume 0 = +ve):
# value min length left
# +ve +ve value.abs - min minvalue.abs
# +ve -ve value.abs - 0 minvalue.abs
# -ve -ve value.abs - 0 minvalue.abs + value
length = (abs(value) - max(min_value, 0)) * unit_size
# left is 0 if value is negative
left = (abs(min_value) + min(value, 0)) * unit_size
rect = etree.SubElement(self.graph, 'rect', {
'x': str(left),
'y': str(top),
'width': str(length),
'height': str(bar_height),
'class': 'fill%s' % (dataset_count+1),
})
self.make_datapoint_text(left+length+5, top+y_mod, value,
"text-anchor: start; ")
rotate_y_labels = True
show_x_guidelines = True
show_y_guidelines = False
right_align = right_font = True
def get_x_labels(self):
return self.get_data_labels()
def get_y_labels(self):
return self.get_field_labels()
def y_label_offset(self, height):
return height / -2.0
def draw_data(self):
min_value = self.data_min()
unit_size = float(self.graph_width)
unit_size -= self.font_size*2*self.right_font
unit_size /= max(self.get_data_values()) - min(self.get_data_values())
bar_gap = self.get_bar_gap(self.get_field_height())
bar_height = self.get_field_height() - bar_gap
if self.stack == 'side':
bar_height /= len(self.data)
y_mod = (bar_height / 2) + (self.font_size / 2)
for field_count, field in enumerate(self.fields):
for dataset_count, dataset in enumerate(self.data):
value = dataset['data'][field_count]
top = self.graph_height - (self.get_field_height() * (field_count+1))
if self.stack == 'side':
top += (bar_height * dataset_count)
# cases (assume 0 = +ve):
# value min length left
# +ve +ve value.abs - min minvalue.abs
# +ve -ve value.abs - 0 minvalue.abs
# -ve -ve value.abs - 0 minvalue.abs + value
length = (abs(value) - max(min_value, 0)) * unit_size
# left is 0 if value is negative
left = (abs(min_value) + min(value, 0)) * unit_size
rect = etree.SubElement(self.graph, 'rect', {
'x': str(left),
'y': str(top),
'width': str(length),
'height': str(bar_height),
'class': 'fill%s' % (dataset_count+1),
})
self.make_datapoint_text(left+length+5, top+y_mod, value,
"text-anchor: start; ")

114
svg/charts/css.py
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@ -3,69 +3,69 @@ import cssutils
SVG = 'SVG 1.1' # http://www.w3.org/TR/SVG11/styling.html
macros = {
'paint': 'none|currentColor|{color}',
'unitidentifier': 'em|ex|px|pt|pc|cm|mm|in|%',
'length': '{positivenum}({unitidentifier})?',
'dasharray': '{positivenum}(\s*,\s*{positivenum})*',
# a number greater-than or equal to one
'number-ge-one': '{[1-9][0-9]*(\.[0-9]+)?',
}
'paint': 'none|currentColor|{color}',
'unitidentifier': 'em|ex|px|pt|pc|cm|mm|in|%',
'length': '{positivenum}({unitidentifier})?',
'dasharray': '{positivenum}(\s*,\s*{positivenum})*',
# a number greater-than or equal to one
'number-ge-one': '{[1-9][0-9]*(\.[0-9]+)?',
}
properties = {
# Clipping, Masking, and Compositing
'clip-path': '{uri}|none|inherit',
'clip-rule': 'nonzero|evenodd|inherit',
'mask': '{uri}|none|inherit',
'opacity': '{num}|inherit',
# Clipping, Masking, and Compositing
'clip-path': '{uri}|none|inherit',
'clip-rule': 'nonzero|evenodd|inherit',
'mask': '{uri}|none|inherit',
'opacity': '{num}|inherit',
# Filter Effects
'enable-background': 'accumulate|new(\s+{num}){0,4}|inherit',
'filter': '{uri}|none|inherit',
'flood-color': 'currentColor|{color}|inherit',
'flood-opacity': '{num}|inherit',
'lighting-color': 'currentColor|{color}|inherit',
# Filter Effects
'enable-background': 'accumulate|new(\s+{num}){0,4}|inherit',
'filter': '{uri}|none|inherit',
'flood-color': 'currentColor|{color}|inherit',
'flood-opacity': '{num}|inherit',
'lighting-color': 'currentColor|{color}|inherit',
# Gradient Properties
'stop-color': 'currentColor|{color}|inherit',
'stop-opacity': '{num}|inherit',
# Gradient Properties
'stop-color': 'currentColor|{color}|inherit',
'stop-opacity': '{num}|inherit',
# Interactivity Properties
'pointer-events': 'visiblePainted|visibleFill|visibleStroke|visible|painted|fill|stroke|all|none|inherit',
# Interactivity Properties
'pointer-events': 'visiblePainted|visibleFill|visibleStroke|visible|painted|fill|stroke|all|none|inherit',
# Color and Pointing Properties
'color-interpolation': 'auto|sRGB|linearRGB|inherit',
'color-interpolation-filters': 'auto|sRGB|linearRGB|inherit',
'color-rendering': 'auto|optimizeSpeed|optimizeQuality|inherit',
'shape-rendering': 'auto|optimizeSpeed|crispEdges|geometricPrecision|inherit',
'text-rendering': 'auto|optimizeSpeed|optimizeLegibility|geometricPrecision|inherit',
'fill': '{paint}',
'fill-opacity': '{num}|inherit',
'fill-rule': 'nonzero|evenodd|inherit',
'image-rendering': 'auto|optimizeSpeed|optimizeQuality|inherit',
'marker': 'none|inherit|{uri}',
'marker-end': 'none|inherit|{uri}',
'marker-mid': 'none|inherit|{uri}',
'marker-start': 'none|inherit|{uri}',
'shape-rendering': 'auto|optimizeSpeed|crispEdges|geometricPrecision|inherit',
'stroke': '{paint}',
'stroke-dasharray': 'none|{dasharray}|inherit',
'stroke-dashoffset': '{length}|inherit',
'stroke-linecap': 'butt|round|square|inherit',
'stroke-linejoin': 'miter|round|bevel|inherit',
'stroke-miterlimit': '{number-ge-one}|inherit',
'stroke-opacity': '{num}|inherit',
'stroke-width': '{length}|inherit',
'text-rendering': 'auto|optimizeSpeed|optimizeLegibility|geometricPrecision|inherit',
# Color and Pointing Properties
'color-interpolation': 'auto|sRGB|linearRGB|inherit',
'color-interpolation-filters': 'auto|sRGB|linearRGB|inherit',
'color-rendering': 'auto|optimizeSpeed|optimizeQuality|inherit',
'shape-rendering': 'auto|optimizeSpeed|crispEdges|geometricPrecision|inherit',
'text-rendering': 'auto|optimizeSpeed|optimizeLegibility|geometricPrecision|inherit',
'fill': '{paint}',
'fill-opacity': '{num}|inherit',
'fill-rule': 'nonzero|evenodd|inherit',
'image-rendering': 'auto|optimizeSpeed|optimizeQuality|inherit',
'marker': 'none|inherit|{uri}',
'marker-end': 'none|inherit|{uri}',
'marker-mid': 'none|inherit|{uri}',
'marker-start': 'none|inherit|{uri}',
'shape-rendering': 'auto|optimizeSpeed|crispEdges|geometricPrecision|inherit',
'stroke': '{paint}',
'stroke-dasharray': 'none|{dasharray}|inherit',
'stroke-dashoffset': '{length}|inherit',
'stroke-linecap': 'butt|round|square|inherit',
'stroke-linejoin': 'miter|round|bevel|inherit',
'stroke-miterlimit': '{number-ge-one}|inherit',
'stroke-opacity': '{num}|inherit',
'stroke-width': '{length}|inherit',
'text-rendering': 'auto|optimizeSpeed|optimizeLegibility|geometricPrecision|inherit',
# Text Properties
'alignment-baseline': 'auto|baseline|before-edge|text-before-edge|middle|central|after-edge|text-after-edge|ideographic|alphabetic|hanging|mathematical|inherit',
'baseline-shift': 'baseline|sub|super|{percentage}|{length}|inherit',
'dominant-baseline': 'auto|use-script|no-change|reset-size|ideographic|alphabetic|hanging||mathematical|central|middle|text-after-edge|text-before-edge|inherit',
'glyph-orientation-horizontal': '{angle}|inherit',
'glyph-orientation-vertical': 'auto|{angle}|inherit',
'kerning': 'auto|{length}|inherit',
'text-anchor': 'start|middle|end|inherit',
'writing-mode': 'lr-tb|rl-tb|tb-rl|lr|rl|tb|inherit',
}
# Text Properties
'alignment-baseline': 'auto|baseline|before-edge|text-before-edge|middle|central|after-edge|text-after-edge|ideographic|alphabetic|hanging|mathematical|inherit',
'baseline-shift': 'baseline|sub|super|{percentage}|{length}|inherit',
'dominant-baseline': 'auto|use-script|no-change|reset-size|ideographic|alphabetic|hanging||mathematical|central|middle|text-after-edge|text-before-edge|inherit',
'glyph-orientation-horizontal': '{angle}|inherit',
'glyph-orientation-vertical': 'auto|{angle}|inherit',
'kerning': 'auto|{length}|inherit',
'text-anchor': 'start|middle|end|inherit',
'writing-mode': 'lr-tb|rl-tb|tb-rl|lr|rl|tb|inherit',
}
cssutils.profile.addProfile(SVG, properties, macros)

1336
svg/charts/graph.py
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324
svg/charts/line.py
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@ -9,165 +9,165 @@ 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)
"""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)

562
svg/charts/pie.py
Unescape View File

@ -4,290 +4,290 @@ from lxml import etree
from svg.charts.graph import Graph
def robust_add(a,b):
"Add numbers a and b, treating None as 0"
if a is None: a = 0
if b is None: b = 0
return a+b
"Add numbers a and b, treating None as 0"
if a is None: a = 0
if b is None: b = 0
return a+b
RADIANS = math.pi/180
class Pie(Graph):
"""
A presentation-quality SVG pie graph
"""
A presentation-quality SVG pie graph
Synopsis
========
Synopsis
========
from svg.charts.pie import Pie
fields = ['Jan', 'Feb', 'Mar']
data_sales_02 = [12, 45, 21]
graph = Pie(dict(
height = 500,
width = 300,
fields = fields))
graph.add_data({'data': data_sales_02, 'title': 'Sales 2002'})
print "Content-type" image/svg+xml\r\n\r\n'
print graph.burn()
Description
===========
This object aims to allow you to easily create high quality
SVG pie graphs. You can either use the default style sheet
or supply your own. Either way there are many options which can
be configured to give you control over how the graph is
generated - with or without a key, display percent on pie chart,
title, subtitle etc.
"""
"if true, displays a drop shadow for the chart"
show_shadow = True
"Sets the offset of the shadow from the pie chart"
shadow_offset = 10
show_data_labels = False
"If true, display the actual field values in the data labels"
show_actual_values = False
"If true, display the percentage value of each pie wedge in the data labels"
show_percent = True
"If true, display the labels in the key"
show_key_data_labels = True
"If true, display the actual value of the field in the key"
show_key_actual_values = True
"If true, display the percentage value of the wedges in the key"
show_key_percent = False
"If true, explode the pie (put space between the wedges)"
expanded = False
"If true, expand the largest pie wedge"
expand_greatest = False
"The amount of space between expanded wedges"
expand_gap = 10
show_x_labels = False
show_y_labels = False
"The font size of the data point labels"
datapoint_font_size = 12
stylesheet_names = Graph.stylesheet_names + ['pie.css']
def add_data(self, data_descriptor):
"""
Add a data set to the graph
>>> graph.add_data({data:[1,2,3,4]}) # doctest: +SKIP
Note that a 'title' key is ignored.
Multiple calls to add_data will sum the elements, and the pie will
display the aggregated data. e.g.
>>> graph.add_data({data:[1,2,3,4]}) # doctest: +SKIP
>>> graph.add_data({data:[2,3,5,7]}) # doctest: +SKIP
is the same as:
>>> graph.add_data({data:[3,5,8,11]}) # doctest: +SKIP
If data is added of with differing lengths, the corresponding
values will be assumed to be zero.
>>> graph.add_data({data:[1,2,3,4]}) # doctest: +SKIP
>>> graph.add_data({data:[5,7]}) # doctest: +SKIP
is the same as:
>>> graph.add_data({data:[5,7]}) # doctest: +SKIP
>>> graph.add_data({data:[1,2,3,4]}) # doctest: +SKIP
and
>>> graph.add_data({data:[6,9,3,4]}) # doctest: +SKIP
"""
pairs = itertools.izip_longest(self.data, data_descriptor['data'])
self.data = list(itertools.starmap(robust_add, pairs))
def add_defs(self, defs):
"Add svg definitions"
etree.SubElement(
defs,
'filter',
id='dropshadow',
width='1.2',
height='1.2',
)
etree.SubElement(
defs,
'feGaussianBlur',
stdDeviation='4',
result='blur',
)
def draw_graph(self):
"Here we don't need the graph (consider refactoring)"
pass
def get_y_labels(self):
"Definitely consider refactoring"
return ['']
def get_x_labels(self):
"Okay. I'll refactor after this"
return ['']
def keys(self):
total = sum(self.data)
percent_scale = 100.0 / total
def key(field, value):
result = [field]
result.append('[%s]' % value)
if self.show_key_percent:
percent = str(round((v/total*100))) + '%'
result.append(percent)
return ' '.join(result)
return map(key, self.fields, self.data)
def draw_data(self):
self.graph = etree.SubElement(self.root, 'g')
background = etree.SubElement(self.graph, 'g')
# midground is somewhere between the background and the foreground
midground = etree.SubElement(self.graph, 'g')
is_expanded = (self.expanded or self.expand_greatest)
diameter = min(self.graph_width, self.graph_height)
# the following assumes int(True)==1 and int(False)==0
diameter -= self.expand_gap * int(is_expanded)
diameter -= self.datapoint_font_size * int(self.show_data_labels)
diameter -= 10 * int(self.show_shadow)
radius = diameter / 2.0
xoff = (self.width - diameter) / 2
yoff = (self.height - self.border_bottom - diameter)
yoff -= 10 * int(self.show_shadow)
transform = 'translate(%(xoff)s %(yoff)s)' % vars()
self.graph.set('transform', transform)
wedge_text_pad = 5
wedge_text_pad = 20 * int(self.show_percent) * int(self.show_data_labels)
total = sum(self.data)
max_value = max(self.data)
percent_scale = 100.0 / total
prev_percent = 0
rad_mult = 3.6 * RADIANS
for index, (field, value) in enumerate(zip(self.fields, self.data)):
percent = percent_scale * value
radians = prev_percent * rad_mult
x_start = radius+(math.sin(radians) * radius)
y_start = radius-(math.cos(radians) * radius)
radians = (prev_percent+percent) * rad_mult
x_end = radius+(math.sin(radians) * radius)
y_end = radius-(math.cos(radians) * radius)
percent_greater_fifty = int(percent>=50)
path = ' '.join((
"M%(radius)s,%(radius)s",
"L%(x_start)s,%(y_start)s",
"A%(radius)s,%(radius)s",
"0,",
"%(percent_greater_fifty)s,1,",
"%(x_end)s %(y_end)s Z"))
path = path % vars()
wedge = etree.SubElement(
self.foreground,
'path',
{
'd': path,
'class': 'fill%s' % (index+1),
}
)
translate = None
tx = 0
ty = 0
half_percent = prev_percent + percent / 2
radians = half_percent * rad_mult
if self.show_shadow:
shadow = etree.SubElement(
background,
'path',
d=path,
filter='url(#dropshadow)',
style='fill: #ccc; stroke: none',
)
clear = etree.SubElement(
midground,
'path',
d=path,
# note, this probably only works when the background
# is also #fff
# consider getting the style from the stylesheet
style="fill:#fff; stroke:none;",
)
if self.expanded or (self.expand_greatest and value == max_value):
tx = (math.sin(radians) * self.expand_gap)
ty = -(math.cos(radians) * self.expand_gap)
translate = "translate(%(tx)s %(ty)s)" % vars()
wedge.set('transform', translate)
clear.set('transform', translate)
if self.show_shadow:
shadow_tx = self.shadow_offset + tx
shadow_ty = self.shadow_offset + ty
translate = 'translate(%(shadow_tx)s %(shadow_ty)s)' % vars()
shadow.set('transform', translate)
if self.show_data_labels and value != 0:
label = []
if self.show_key_data_labels:
label.append(field)
if self.show_actual_values:
label.append('[%s]' % value)
if self.show_percent:
label.append('%d%%' % round(percent))
label = ' '.join(label)
msr = math.sin(radians)
mcr = math.cos(radians)
tx = radius + (msr * radius)
ty = radius -(mcr * radius)
if self.expanded or (self.expand_greatest and value == max_value):
tx += (msr * self.expand_gap)
ty -= (mcr * self.expand_gap)
label_node = etree.SubElement(
self.foreground,
'text',
{
'x':str(tx),
'y':str(ty),
'class':'dataPointLabel',
'style':'stroke: #fff; stroke-width: 2;',
}
)
label_node.text = label
label_node = etree.SubElement(
self.foreground,
'text',
{
'x':str(tx),
'y':str(ty),
'class': 'dataPointLabel',
}
)
label_node.text = label
prev_percent += percent
def round(self, val, to):
return round(val,to)
from svg.charts.pie import Pie
fields = ['Jan', 'Feb', 'Mar']
data_sales_02 = [12, 45, 21]
graph = Pie(dict(
height = 500,
width = 300,
fields = fields))
graph.add_data({'data': data_sales_02, 'title': 'Sales 2002'})
print "Content-type" image/svg+xml\r\n\r\n'
print graph.burn()
Description
===========
This object aims to allow you to easily create high quality
SVG pie graphs. You can either use the default style sheet
or supply your own. Either way there are many options which can
be configured to give you control over how the graph is
generated - with or without a key, display percent on pie chart,
title, subtitle etc.
"""
"if true, displays a drop shadow for the chart"
show_shadow = True
"Sets the offset of the shadow from the pie chart"
shadow_offset = 10
show_data_labels = False
"If true, display the actual field values in the data labels"
show_actual_values = False
"If true, display the percentage value of each pie wedge in the data labels"
show_percent = True
"If true, display the labels in the key"
show_key_data_labels = True
"If true, display the actual value of the field in the key"
show_key_actual_values = True
"If true, display the percentage value of the wedges in the key"
show_key_percent = False
"If true, explode the pie (put space between the wedges)"
expanded = False
"If true, expand the largest pie wedge"
expand_greatest = False
"The amount of space between expanded wedges"
expand_gap = 10
show_x_labels = False
show_y_labels = False
"The font size of the data point labels"
datapoint_font_size = 12
stylesheet_names = Graph.stylesheet_names + ['pie.css']
def add_data(self, data_descriptor):
"""
Add a data set to the graph
>>> graph.add_data({data:[1,2,3,4]}) # doctest: +SKIP
Note that a 'title' key is ignored.
Multiple calls to add_data will sum the elements, and the pie will
display the aggregated data. e.g.
>>> graph.add_data({data:[1,2,3,4]}) # doctest: +SKIP
>>> graph.add_data({data:[2,3,5,7]}) # doctest: +SKIP
is the same as:
>>> graph.add_data({data:[3,5,8,11]}) # doctest: +SKIP
If data is added of with differing lengths, the corresponding
values will be assumed to be zero.
>>> graph.add_data({data:[1,2,3,4]}) # doctest: +SKIP
>>> graph.add_data({data:[5,7]}) # doctest: +SKIP
is the same as:
>>> graph.add_data({data:[5,7]}) # doctest: +SKIP
>>> graph.add_data({data:[1,2,3,4]}) # doctest: +SKIP
and
>>> graph.add_data({data:[6,9,3,4]}) # doctest: +SKIP
"""
pairs = itertools.izip_longest(self.data, data_descriptor['data'])
self.data = list(itertools.starmap(robust_add, pairs))
def add_defs(self, defs):
"Add svg definitions"
etree.SubElement(
defs,
'filter',
id='dropshadow',
width='1.2',
height='1.2',
)
etree.SubElement(
defs,
'feGaussianBlur',
stdDeviation='4',
result='blur',
)
def draw_graph(self):
"Here we don't need the graph (consider refactoring)"
pass
def get_y_labels(self):
"Definitely consider refactoring"
return ['']
def get_x_labels(self):
"Okay. I'll refactor after this"
return ['']
def keys(self):
total = sum(self.data)
percent_scale = 100.0 / total
def key(field, value):
result = [field]
result.append('[%s]' % value)
if self.show_key_percent:
percent = str(round((v/total*100))) + '%'
result.append(percent)
return ' '.join(result)
return map(key, self.fields, self.data)
def draw_data(self):
self.graph = etree.SubElement(self.root, 'g')
background = etree.SubElement(self.graph, 'g')
# midground is somewhere between the background and the foreground
midground = etree.SubElement(self.graph, 'g')
is_expanded = (self.expanded or self.expand_greatest)
diameter = min(self.graph_width, self.graph_height)
# the following assumes int(True)==1 and int(False)==0
diameter -= self.expand_gap * int(is_expanded)
diameter -= self.datapoint_font_size * int(self.show_data_labels)
diameter -= 10 * int(self.show_shadow)
radius = diameter / 2.0
xoff = (self.width - diameter) / 2
yoff = (self.height - self.border_bottom - diameter)
yoff -= 10 * int(self.show_shadow)
transform = 'translate(%(xoff)s %(yoff)s)' % vars()
self.graph.set('transform', transform)
wedge_text_pad = 5
wedge_text_pad = 20 * int(self.show_percent) * int(self.show_data_labels)
total = sum(self.data)
max_value = max(self.data)
percent_scale = 100.0 / total
prev_percent = 0
rad_mult = 3.6 * RADIANS
for index, (field, value) in enumerate(zip(self.fields, self.data)):
percent = percent_scale * value
radians = prev_percent * rad_mult
x_start = radius+(math.sin(radians) * radius)
y_start = radius-(math.cos(radians) * radius)
radians = (prev_percent+percent) * rad_mult
x_end = radius+(math.sin(radians) * radius)
y_end = radius-(math.cos(radians) * radius)
percent_greater_fifty = int(percent>=50)
path = ' '.join((
"M%(radius)s,%(radius)s",
"L%(x_start)s,%(y_start)s",
"A%(radius)s,%(radius)s",
"0,",
"%(percent_greater_fifty)s,1,",
"%(x_end)s %(y_end)s Z"))
path = path % vars()
wedge = etree.SubElement(
self.foreground,
'path',
{
'd': path,
'class': 'fill%s' % (index+1),
}
)
translate = None
tx = 0
ty = 0
half_percent = prev_percent + percent / 2
radians = half_percent * rad_mult
if self.show_shadow:
shadow = etree.SubElement(
background,
'path',
d=path,
filter='url(#dropshadow)',
style='fill: #ccc; stroke: none',
)
clear = etree.SubElement(
midground,
'path',
d=path,
# note, this probably only works when the background
# is also #fff
# consider getting the style from the stylesheet
style="fill:#fff; stroke:none;",
)
if self.expanded or (self.expand_greatest and value == max_value):
tx = (math.sin(radians) * self.expand_gap)
ty = -(math.cos(radians) * self.expand_gap)
translate = "translate(%(tx)s %(ty)s)" % vars()
wedge.set('transform', translate)
clear.set('transform', translate)
if self.show_shadow:
shadow_tx = self.shadow_offset + tx
shadow_ty = self.shadow_offset + ty
translate = 'translate(%(shadow_tx)s %(shadow_ty)s)' % vars()
shadow.set('transform', translate)
if self.show_data_labels and value != 0:
label = []
if self.show_key_data_labels:
label.append(field)
if self.show_actual_values:
label.append('[%s]' % value)
if self.show_percent:
label.append('%d%%' % round(percent))
label = ' '.join(label)
msr = math.sin(radians)
mcr = math.cos(radians)
tx = radius + (msr * radius)
ty = radius -(mcr * radius)
if self.expanded or (self.expand_greatest and value == max_value):
tx += (msr * self.expand_gap)
ty -= (mcr * self.expand_gap)
label_node = etree.SubElement(
self.foreground,
'text',
{
'x':str(tx),
'y':str(ty),
'class':'dataPointLabel',
'style':'stroke: #fff; stroke-width: 2;',
}
)
label_node.text = label
label_node = etree.SubElement(
self.foreground,
'text',
{
'x':str(tx),
'y':str(ty),
'class': 'dataPointLabel',
}
)
label_node.text = label
prev_percent += percent
def round(self, val, to):
return round(val,to)

626
svg/charts/plot.py
Unescape View File

@ -11,326 +11,326 @@ from svg.charts.graph import Graph
from .util import float_range
def get_pairs(i):
i = iter(i)
while True: yield i.next(), i.next()
i = iter(i)
while True: yield i.next(), i.next()
# I'm not sure how this is more beautiful than ugly.
if sys.version >= '3':
def apply(func):
return func()
def apply(func):
return func()
class Plot(Graph):
"""=== For creating SVG plots of scalar data
"""=== For creating SVG plots of scalar data
= Synopsis
= Synopsis
require 'SVG/Graph/Plot'
require 'SVG/Graph/Plot'
# Data sets are x,y pairs
# Note that multiple data sets can differ in length, and that the
# data in the datasets needn't be in order; they will be ordered
# by the plot along the X-axis.
projection = [
6, 11, 0, 5, 18, 7, 1, 11, 13, 9, 1, 2, 19, 0, 3, 13,
7, 9
]
actual = [
0, 18, 8, 15, 9, 4, 18, 14, 10, 2, 11, 6, 14, 12,
15, 6, 4, 17, 2, 12
]
# Data sets are x,y pairs
# Note that multiple data sets can differ in length, and that the
# data in the datasets needn't be in order; they will be ordered
# by the plot along the X-axis.
projection = [
6, 11, 0, 5, 18, 7, 1, 11, 13, 9, 1, 2, 19, 0, 3, 13,
7, 9
]
actual = [
0, 18, 8, 15, 9, 4, 18, 14, 10, 2, 11, 6, 14, 12,
15, 6, 4, 17, 2, 12
]
graph = SVG::Graph::Plot.new({
:height => 500,
:width => 300,
:key => true,
:scale_x_integers => true,
:scale_y_integerrs => true,
})
graph = SVG::Graph::Plot.new({
:height => 500,
:width => 300,
:key => true,
:scale_x_integers => true,
:scale_y_integerrs => true,
})
graph.add_data({
:data => projection
:title => 'Projected',
})
graph.add_data({
:data => actual,
:title => 'Actual',
})
print graph.burn()
= Description
Produces a graph of scalar data.
This object aims to allow you to easily create high quality
SVG[http://www.w3c.org/tr/svg] scalar plots. You can either use the
default style sheet or supply your own. Either way there are many options
which can be configured to give you control over how the graph is
generated - with or without a key, data elements at each point, title,
subtitle etc.
= Examples
http://www.germane-software/repositories/public/SVG/test/plot.rb
= Notes
The default stylesheet handles upto 10 data sets, if you
use more you must create your own stylesheet and add the
additional settings for the extra data sets. You will know
if you go over 10 data sets as they will have no style and
be in black.
Unlike the other types of charts, data sets must contain x,y pairs:
[1, 2] # A data set with 1 point: (1,2)
[1,2, 5,6] # A data set with 2 points: (1,2) and (5,6)
= See also
* SVG::Graph::Graph
* SVG::Graph::BarHorizontal
* SVG::Graph::Bar
* SVG::Graph::Line
* SVG::Graph::Pie
* SVG::Graph::TimeSeries
== Author
Sean E. Russell <serATgermaneHYPHENsoftwareDOTcom>
Copyright 2004 Sean E. Russell
This software is available under the Ruby license[LICENSE.txt]"""
top_align = right_align = top_font = right_font = 1
"""Determines the scaling for the Y axis divisions.
graph.scale_y_divisions = 0.5
would cause the graph to attempt to generate labels stepped by 0.5; EG:
0, 0.5, 1, 1.5, 2, ..."""
scale_y_divisions = None
"Make the X axis labels integers"
scale_x_integers = False
"Make the Y axis labels integers"
scale_y_integers = False
"Fill the area under the line"
area_fill = False
"""Show a small circle on the graph where the line
goes from one point to the next."""
show_data_points = True
"Indicate whether the lines should be drawn between points"
draw_lines_between_points = True
"Set the minimum value of the X axis"
min_x_value = None
"Set the minimum value of the Y axis"
min_y_value = None
"Set the maximum value of the X axis"
max_x_value = None
"Set the maximum value of the Y axis"
max_y_value = None
stacked = False
stylesheet_names = Graph.stylesheet_names + ['plot.css']
@apply
def scale_x_divisions():
doc = """Determines the scaling for the X axis divisions.
graph.scale_x_divisions = 2
would cause the graph to attempt to generate labels stepped by 2; EG:
0,2,4,6,8..."""
def fget(self):
return getattr(self, '_scale_x_divisions', None)
def fset(self, val):
self._scale_x_divisions = val
return property(**locals())
def validate_data(self, data):
if len(data['data']) % 2 != 0:
raise ValueError("Expecting x,y pairs for data points for %s." % self.__class__.__name__)
def process_data(self, data):
pairs = list(get_pairs(data['data']))
pairs.sort()
data['data'] = zip(*pairs)
def calculate_left_margin(self):
super(Plot, self).calculate_left_margin()
label_left = len(str(self.get_x_labels()[0])) / 2 * self.font_size * 0.6
self.border_left = max(label_left, self.border_left)
def calculate_right_margin(self):
super(Plot, self).calculate_right_margin()
label_right = len(str(self.get_x_labels()[-1])) / 2 * self.font_size * 0.6
self.border_right = max(label_right, self.border_right)
def data_max(self, axis):
data_index = getattr(self, '%s_data_index' % axis)
max_value = max(chain(*map(lambda set: set['data'][data_index], self.data)))
# above is same as
#max_value = max(map(lambda set: max(set['data'][data_index]), self.data))
spec_max = getattr(self, 'max_%s_value' % axis)
# Python 3 doesn't allow comparing None to int, so use -∞
if spec_max is None: spec_max = float('-Inf')
max_value = max(max_value, spec_max)
return max_value
def data_min(self, axis):
data_index = getattr(self, '%s_data_index' % axis)
min_value = min(chain(*map(lambda set: set['data'][data_index], self.data)))
spec_min = getattr(self, 'min_%s_value' % axis)
if spec_min is not None:
min_value = min(min_value, spec_min)
return min_value
x_data_index = 0
y_data_index = 1
def data_range(self, axis):
side = {'x': 'right', 'y': 'top'}[axis]
min_value = self.data_min(axis)
max_value = self.data_max(axis)
range = max_value - min_value
side_pad = range / 20.0 or 10
scale_range = (max_value + side_pad) - min_value
scale_division = getattr(self, 'scale_%s_divisions' % axis) or (scale_range / 10.0)
if getattr(self, 'scale_%s_integers' % axis):
scale_division = round(scale_division) or 1
return min_value, max_value, scale_division
def x_range(self): return self.data_range('x')
def y_range(self): return self.data_range('y')
def get_data_values(self, axis):
min_value, max_value, scale_division = self.data_range(axis)
return tuple(float_range(*self.data_range(axis)))
def get_x_values(self): return self.get_data_values('x')
def get_y_values(self): return self.get_data_values('y')
def get_x_labels(self):
return map(str, self.get_x_values())
def get_y_labels(self):
return map(str, self.get_y_values())
def field_size(self, axis):
size = {'x': 'width', 'y': 'height'}[axis]
side = {'x': 'right', 'y': 'top'}[axis]
values = getattr(self, 'get_%s_values' % axis)()
max_d = self.data_max(axis)
dx = (
float(max_d - values[-1]) / (values[-1] - values[-2])
if len(values) > 1 else max_d
)
graph_size = getattr(self, 'graph_%s' % size)
side_font = getattr(self, '%s_font' % side)
side_align = getattr(self, '%s_align' % side)
result = (float(graph_size) - self.font_size*2*side_font) / \
(len(values) + dx - side_align)
return result
def field_width(self): return self.field_size('x')
def field_height(self): return self.field_size('y')
def draw_data(self):
self.load_transform_parameters()
for line, data in izip(count(1), self.data):
x_start, y_start = self.transform_output_coordinates(
(data['data'][self.x_data_index][0],
data['data'][self.y_data_index][0])
)
data_points = zip(*data['data'])
graph_points = self.get_graph_points(data_points)
lpath = self.get_lpath(graph_points)
if self.area_fill:
graph_height = self.graph_height
path = etree.SubElement(self.graph, 'path', {
'd': 'M%(x_start)f %(graph_height)f %(lpath)s V%(graph_height)f Z' % vars(),
'class': 'fill%(line)d' % vars()})
if self.draw_lines_between_points:
path = etree.SubElement(self.graph, 'path', {
'd': 'M%(x_start)f %(y_start)f %(lpath)s' % vars(),
'class': 'line%(line)d' % vars()})
self.draw_data_points(line, data_points, graph_points)
self._draw_constant_lines()
del self.__transform_parameters
def add_constant_line(self, value, label = None, style = None):
self.constant_lines = getattr(self, 'constant_lines', [])
self.constant_lines.append((value, label, style))
def _draw_constant_lines(self):
if hasattr(self, 'constant_lines'):
map(self.__draw_constant_line, self.constant_lines)
def __draw_constant_line(self, value_label_style):
"Draw a constant line on the y-axis with the label"
value, label, style = value_label_style
start = self.transform_output_coordinates((0, value))[1]
stop = self.graph_width
path = etree.SubElement(self.graph, 'path', {
'd': 'M 0 %(start)s h%(stop)s' % vars(),
'class': 'constantLine'})
if style:
path.set('style', style)
text = etree.SubElement(self.graph, 'text', {
'x': str(2),
'y': str(start - 2),
'class': 'constantLine'})
text.text = label
def load_transform_parameters(self):
"Cache the parameters necessary to transform x & y coordinates"
x_min, x_max, x_div = self.x_range()
y_min, y_max, y_div = self.y_range()
x_step = (float(self.graph_width) - self.font_size*2) / \
(x_max - x_min)
y_step = (float(self.graph_height) - self.font_size*2) / \
(y_max - y_min)
self.__transform_parameters = dict(vars())
del self.__transform_parameters['self']
def get_graph_points(self, data_points):
return map(self.transform_output_coordinates, data_points)
def get_lpath(self, points):
points = map(lambda p: "%f %f" % p, points)
return 'L' + ' '.join(points)
def transform_output_coordinates(self, (x,y)):
x_min = self.__transform_parameters['x_min']
x_step = self.__transform_parameters['x_step']
y_min = self.__transform_parameters['y_min']
y_step = self.__transform_parameters['y_step']
#locals().update(self.__transform_parameters)
#vars().update(self.__transform_parameters)
x = (x - x_min) * x_step
y = self.graph_height - (y - y_min) * y_step
return x,y
def draw_data_points(self, line, data_points, graph_points):
if not self.show_data_points \
and not self.show_data_values: return
for ((dx,dy),(gx,gy)) in izip(data_points, graph_points):
if self.show_data_points:
etree.SubElement(self.graph, 'circle', {
'cx': str(gx),
'cy': str(gy),
'r': '2.5',
'class': 'dataPoint%(line)s' % vars()})
if self.show_data_values:
self.add_popup(gx, gy, self.format(dx, dy))
self.make_datapoint_text(gx, gy-6, dy)
def format(self, x, y):
return '(%0.2f, %0.2f)' % (x,y)
graph.add_data({
:data => projection
:title => 'Projected',
})
graph.add_data({
:data => actual,
:title => 'Actual',
})
print graph.burn()
= Description
Produces a graph of scalar data.
This object aims to allow you to easily create high quality
SVG[http://www.w3c.org/tr/svg] scalar plots. You can either use the
default style sheet or supply your own. Either way there are many options
which can be configured to give you control over how the graph is
generated - with or without a key, data elements at each point, title,
subtitle etc.
= Examples
http://www.germane-software/repositories/public/SVG/test/plot.rb
= Notes
The default stylesheet handles upto 10 data sets, if you
use more you must create your own stylesheet and add the
additional settings for the extra data sets. You will know
if you go over 10 data sets as they will have no style and
be in black.
Unlike the other types of charts, data sets must contain x,y pairs:
[1, 2] # A data set with 1 point: (1,2)
[1,2, 5,6] # A data set with 2 points: (1,2) and (5,6)
= See also
* SVG::Graph::Graph
* SVG::Graph::BarHorizontal
* SVG::Graph::Bar
* SVG::Graph::Line
* SVG::Graph::Pie
* SVG::Graph::TimeSeries
== Author
Sean E. Russell <serATgermaneHYPHENsoftwareDOTcom>
Copyright 2004 Sean E. Russell
This software is available under the Ruby license[LICENSE.txt]"""
top_align = right_align = top_font = right_font = 1
"""Determines the scaling for the Y axis divisions.
graph.scale_y_divisions = 0.5
would cause the graph to attempt to generate labels stepped by 0.5; EG:
0, 0.5, 1, 1.5, 2, ..."""
scale_y_divisions = None
"Make the X axis labels integers"
scale_x_integers = False
"Make the Y axis labels integers"
scale_y_integers = False
"Fill the area under the line"
area_fill = False
"""Show a small circle on the graph where the line
goes from one point to the next."""
show_data_points = True
"Indicate whether the lines should be drawn between points"
draw_lines_between_points = True
"Set the minimum value of the X axis"
min_x_value = None
"Set the minimum value of the Y axis"
min_y_value = None
"Set the maximum value of the X axis"
max_x_value = None
"Set the maximum value of the Y axis"
max_y_value = None
stacked = False
stylesheet_names = Graph.stylesheet_names + ['plot.css']
@apply
def scale_x_divisions():
doc = """Determines the scaling for the X axis divisions.
graph.scale_x_divisions = 2
would cause the graph to attempt to generate labels stepped by 2; EG:
0,2,4,6,8..."""
def fget(self):
return getattr(self, '_scale_x_divisions', None)
def fset(self, val):
self._scale_x_divisions = val
return property(**locals())
def validate_data(self, data):
if len(data['data']) % 2 != 0:
raise ValueError("Expecting x,y pairs for data points for %s." % self.__class__.__name__)
def process_data(self, data):
pairs = list(get_pairs(data['data']))
pairs.sort()
data['data'] = zip(*pairs)
def calculate_left_margin(self):
super(Plot, self).calculate_left_margin()
label_left = len(str(self.get_x_labels()[0])) / 2 * self.font_size * 0.6
self.border_left = max(label_left, self.border_left)
def calculate_right_margin(self):
super(Plot, self).calculate_right_margin()
label_right = len(str(self.get_x_labels()[-1])) / 2 * self.font_size * 0.6
self.border_right = max(label_right, self.border_right)
def data_max(self, axis):
data_index = getattr(self, '%s_data_index' % axis)
max_value = max(chain(*map(lambda set: set['data'][data_index], self.data)))
# above is same as
#max_value = max(map(lambda set: max(set['data'][data_index]), self.data))
spec_max = getattr(self, 'max_%s_value' % axis)
# Python 3 doesn't allow comparing None to int, so use -∞
if spec_max is None: spec_max = float('-Inf')
max_value = max(max_value, spec_max)
return max_value
def data_min(self, axis):
data_index = getattr(self, '%s_data_index' % axis)
min_value = min(chain(*map(lambda set: set['data'][data_index], self.data)))
spec_min = getattr(self, 'min_%s_value' % axis)
if spec_min is not None:
min_value = min(min_value, spec_min)
return min_value
x_data_index = 0
y_data_index = 1
def data_range(self, axis):
side = {'x': 'right', 'y': 'top'}[axis]
min_value = self.data_min(axis)
max_value = self.data_max(axis)
range = max_value - min_value
side_pad = range / 20.0 or 10
scale_range = (max_value + side_pad) - min_value
scale_division = getattr(self, 'scale_%s_divisions' % axis) or (scale_range / 10.0)
if getattr(self, 'scale_%s_integers' % axis):
scale_division = round(scale_division) or 1
return min_value, max_value, scale_division
def x_range(self): return self.data_range('x')
def y_range(self): return self.data_range('y')
def get_data_values(self, axis):
min_value, max_value, scale_division = self.data_range(axis)
return tuple(float_range(*self.data_range(axis)))
def get_x_values(self): return self.get_data_values('x')
def get_y_values(self): return self.get_data_values('y')
def get_x_labels(self):
return map(str, self.get_x_values())
def get_y_labels(self):
return map(str, self.get_y_values())
def field_size(self, axis):
size = {'x': 'width', 'y': 'height'}[axis]
side = {'x': 'right', 'y': 'top'}[axis]
values = getattr(self, 'get_%s_values' % axis)()
max_d = self.data_max(axis)
dx = (
float(max_d - values[-1]) / (values[-1] - values[-2])
if len(values) > 1 else max_d
)
graph_size = getattr(self, 'graph_%s' % size)
side_font = getattr(self, '%s_font' % side)
side_align = getattr(self, '%s_align' % side)
result = (float(graph_size) - self.font_size*2*side_font) / \
(len(values) + dx - side_align)
return result
def field_width(self): return self.field_size('x')
def field_height(self): return self.field_size('y')
def draw_data(self):
self.load_transform_parameters()
for line, data in izip(count(1), self.data):
x_start, y_start = self.transform_output_coordinates(
(data['data'][self.x_data_index][0],
data['data'][self.y_data_index][0])
)
data_points = zip(*data['data'])
graph_points = self.get_graph_points(data_points)
lpath = self.get_lpath(graph_points)
if self.area_fill:
graph_height = self.graph_height
path = etree.SubElement(self.graph, 'path', {
'd': 'M%(x_start)f %(graph_height)f %(lpath)s V%(graph_height)f Z' % vars(),
'class': 'fill%(line)d' % vars()})
if self.draw_lines_between_points:
path = etree.SubElement(self.graph, 'path', {
'd': 'M%(x_start)f %(y_start)f %(lpath)s' % vars(),
'class': 'line%(line)d' % vars()})
self.draw_data_points(line, data_points, graph_points)
self._draw_constant_lines()
del self.__transform_parameters
def add_constant_line(self, value, label = None, style = None):
self.constant_lines = getattr(self, 'constant_lines', [])
self.constant_lines.append((value, label, style))
def _draw_constant_lines(self):
if hasattr(self, 'constant_lines'):
map(self.__draw_constant_line, self.constant_lines)
def __draw_constant_line(self, value_label_style):
"Draw a constant line on the y-axis with the label"
value, label, style = value_label_style
start = self.transform_output_coordinates((0, value))[1]
stop = self.graph_width
path = etree.SubElement(self.graph, 'path', {
'd': 'M 0 %(start)s h%(stop)s' % vars(),
'class': 'constantLine'})
if style:
path.set('style', style)
text = etree.SubElement(self.graph, 'text', {
'x': str(2),
'y': str(start - 2),
'class': 'constantLine'})
text.text = label
def load_transform_parameters(self):
"Cache the parameters necessary to transform x & y coordinates"
x_min, x_max, x_div = self.x_range()
y_min, y_max, y_div = self.y_range()
x_step = (float(self.graph_width) - self.font_size*2) / \
(x_max - x_min)
y_step = (float(self.graph_height) - self.font_size*2) / \
(y_max - y_min)
self.__transform_parameters = dict(vars())
del self.__transform_parameters['self']
def get_graph_points(self, data_points):
return map(self.transform_output_coordinates, data_points)
def get_lpath(self, points):
points = map(lambda p: "%f %f" % p, points)
return 'L' + ' '.join(points)
def transform_output_coordinates(self, (x,y)):
x_min = self.__transform_parameters['x_min']
x_step = self.__transform_parameters['x_step']
y_min = self.__transform_parameters['y_min']
y_step = self.__transform_parameters['y_step']
#locals().update(self.__transform_parameters)
#vars().update(self.__transform_parameters)
x = (x - x_min) * x_step
y = self.graph_height - (y - y_min) * y_step
return x,y
def draw_data_points(self, line, data_points, graph_points):
if not self.show_data_points \
and not self.show_data_values: return
for ((dx,dy),(gx,gy)) in izip(data_points, graph_points):
if self.show_data_points:
etree.SubElement(self.graph, 'circle', {
'cx': str(gx),
'cy': str(gy),
'r': '2.5',
'class': 'dataPoint%(line)s' % vars()})
if self.show_data_values:
self.add_popup(gx, gy, self.format(dx, dy))
self.make_datapoint_text(gx, gy-6, dy)
def format(self, x, y):
return '(%0.2f, %0.2f)' % (x,y)

568
svg/charts/schedule.py
Unescape View File

@ -11,299 +11,299 @@ from util import grouper, date_range, divide_timedelta_float, TimeScale
__all__ = ('Schedule')
class Schedule(Graph):
"""
# === For creating SVG plots of scalar temporal data
= Synopsis
require 'SVG/Graph/Schedule'
# Data sets are label, start, end tripples.
data1 = [
"Housesitting", "6/17/04", "6/19/04",
"Summer Session", "6/15/04", "8/15/04",
]
graph = SVG::Graph::Schedule.new( {
:width => 640,
:height => 480,
:graph_title => title,
:show_graph_title => true,
:no_css => true,
:scale_x_integers => true,
:scale_y_integers => true,
:min_x_value => 0,
:min_y_value => 0,
:show_data_labels => true,
:show_x_guidelines => true,
:show_x_title => true,
:x_title => "Time",
:stagger_x_labels => true,
:stagger_y_labels => true,
:x_label_format => "%m/%d/%y",
})
graph.add_data({
:data => data1,
:title => 'Data',
})
print graph.burn()
= Description
Produces a graph of temporal scalar data.
= Examples
http://www.germane-software/repositories/public/SVG/test/schedule.rb
= Notes
The default stylesheet handles upto 10 data sets, if you
use more you must create your own stylesheet and add the
additional settings for the extra data sets. You will know
if you go over 10 data sets as they will have no style and
be in black.
Note that multiple data sets within the same chart can differ in
length, and that the data in the datasets needn't be in order;
they will be ordered by the plot along the X-axis.
The dates must be parseable by ParseDate, but otherwise can be
any order of magnitude (seconds within the hour, or years)
= See also
* SVG::Graph::Graph
* SVG::Graph::BarHorizontal
* SVG::Graph::Bar
* SVG::Graph::Line
* SVG::Graph::Pie
* SVG::Graph::Plot
* SVG::Graph::TimeSeries
== Author
Sean E. Russell <serATgermaneHYPHENsoftwareDOTcom>
Copyright 2004 Sean E. Russell
This software is available under the Ruby license[LICENSE.txt]
"""
"The format string to be used to format the X axis labels"
x_label_format = '%Y-%m-%d %H:%M:%S'
"""
Use this to set the spacing between dates on the axis. The value
must be of the form
"\d+ ?((year|month|week|day|hour|minute|second)s?)?"
e.g.
graph.timescale_divisions = '2 weeks'
graph.timescale_divisions = '1 month'
graph.timescale_divisions = '3600 seconds' # easier would be '1 hour'
"""
timescale_divisions = None
"The formatting used for the popups. See x_label_format"
popup_format = '%Y-%m-%d %H:%M:%S'
"""
# === For creating SVG plots of scalar temporal data
= Synopsis
require 'SVG/Graph/Schedule'
# Data sets are label, start, end tripples.
data1 = [
"Housesitting", "6/17/04", "6/19/04",
"Summer Session", "6/15/04", "8/15/04",
]
graph = SVG::Graph::Schedule.new( {
:width => 640,
:height => 480,
:graph_title => title,
:show_graph_title => true,
:no_css => true,
:scale_x_integers => true,
:scale_y_integers => true,
:min_x_value => 0,
:min_y_value => 0,
:show_data_labels => true,
:show_x_guidelines => true,
:show_x_title => true,
:x_title => "Time",
:stagger_x_labels => true,
:stagger_y_labels => true,
:x_label_format => "%m/%d/%y",
})
graph.add_data({
:data => data1,
:title => 'Data',
})
print graph.burn()
= Description
Produces a graph of temporal scalar data.
= Examples
http://www.germane-software/repositories/public/SVG/test/schedule.rb
= Notes
The default stylesheet handles upto 10 data sets, if you
use more you must create your own stylesheet and add the
additional settings for the extra data sets. You will know
if you go over 10 data sets as they will have no style and
be in black.
Note that multiple data sets within the same chart can differ in
length, and that the data in the datasets needn't be in order;
they will be ordered by the plot along the X-axis.
The dates must be parseable by ParseDate, but otherwise can be
any order of magnitude (seconds within the hour, or years)
= See also
* SVG::Graph::Graph
* SVG::Graph::BarHorizontal
* SVG::Graph::Bar
* SVG::Graph::Line
* SVG::Graph::Pie
* SVG::Graph::Plot
* SVG::Graph::TimeSeries
== Author
Sean E. Russell <serATgermaneHYPHENsoftwareDOTcom>
Copyright 2004 Sean E. Russell
This software is available under the Ruby license[LICENSE.txt]
"""
"The format string to be used to format the X axis labels"
x_label_format = '%Y-%m-%d %H:%M:%S'
"""
Use this to set the spacing between dates on the axis. The value
must be of the form
"\d+ ?((year|month|week|day|hour|minute|second)s?)?"
e.g.
graph.timescale_divisions = '2 weeks'
graph.timescale_divisions = '1 month'
graph.timescale_divisions = '3600 seconds' # easier would be '1 hour'
"""
timescale_divisions = None
"The formatting used for the popups. See x_label_format"
popup_format = '%Y-%m-%d %H:%M:%S'
_min_x_value = None
scale_x_divisions = False
scale_x_integers = False
bar_gap = True
_min_x_value = None
scale_x_divisions = False
scale_x_integers = False
bar_gap = True
stylesheet_names = Graph.stylesheet_names + ['bar.css']
stylesheet_names = Graph.stylesheet_names + ['bar.css']
def add_data(self, data):
"""
Add data to the plot.
# A data set with 1 point: Lunch from 12:30 to 14:00
d1 = [ "Lunch", "12:30", "14:00" ]
# A data set with 2 points: "Cats" runs from 5/11/03 to 7/15/04, and
# "Henry V" runs from 6/12/03 to 8/20/03
d2 = [ "Cats", "5/11/03", "7/15/04",
"Henry V", "6/12/03", "8/20/03" ]
graph.add_data(
:data => d1,
:title => 'Meetings'
)
graph.add_data(
:data => d2,
:title => 'Plays'
)
Note that the data must be in time,value pairs, and that the date format
may be any date that is parseable by ParseDate.
Also note that, in this example, we're mixing scales; the data from d1
will probably not be discernable if both data sets are plotted on the same
graph, since d1 is too granular.
"""
# The ruby version does something different here, throwing out
# any previously added data.
super(Schedule, self).add_data(data)
def add_data(self, data):
"""
Add data to the plot.
# A data set with 1 point: Lunch from 12:30 to 14:00
d1 = [ "Lunch", "12:30", "14:00" ]
# A data set with 2 points: "Cats" runs from 5/11/03 to 7/15/04, and
# "Henry V" runs from 6/12/03 to 8/20/03
d2 = [ "Cats", "5/11/03", "7/15/04",
"Henry V", "6/12/03", "8/20/03" ]
graph.add_data(
:data => d1,
:title => 'Meetings'
)
graph.add_data(
:data => d2,
:title => 'Plays'
)
Note that the data must be in time,value pairs, and that the date format
may be any date that is parseable by ParseDate.
Also note that, in this example, we're mixing scales; the data from d1
will probably not be discernable if both data sets are plotted on the same
graph, since d1 is too granular.
"""
# The ruby version does something different here, throwing out
# any previously added data.
super(Schedule, self).add_data(data)
# copied from Bar
# TODO, refactor this into a common base class (or mix-in)
def get_bar_gap(self, field_size):
bar_gap = 10 # default gap
if field_size < 10:
# adjust for narrow fields
bar_gap = field_size / 2
# the following zero's out the gap if bar_gap is False
bar_gap = int(self.bar_gap) * bar_gap
return bar_gap
# copied from Bar
# TODO, refactor this into a common base class (or mix-in)
def get_bar_gap(self, field_size):
bar_gap = 10 # default gap
if field_size < 10:
# adjust for narrow fields
bar_gap = field_size / 2
# the following zero's out the gap if bar_gap is False
bar_gap = int(self.bar_gap) * bar_gap
return bar_gap
def validate_data(self, conf):
super(Schedule, self).validate_data(conf)
msg = "Data supplied must be (title, from, to) tripples!"
assert len(conf['data']) % 3 == 0, msg
def validate_data(self, conf):
super(Schedule, self).validate_data(conf)
msg = "Data supplied must be (title, from, to) tripples!"
assert len(conf['data']) % 3 == 0, msg
def process_data(self, conf):
super(Schedule, self).process_data(conf)
data = conf['data']
triples = grouper(3, data)
labels, begin_dates, end_dates = zip(*triples)
begin_dates = map(self.parse_date, begin_dates)
end_dates = map(self.parse_date, end_dates)
def process_data(self, conf):
super(Schedule, self).process_data(conf)
data = conf['data']
triples = grouper(3, data)
labels, begin_dates, end_dates = zip(*triples)
begin_dates = map(self.parse_date, begin_dates)
end_dates = map(self.parse_date, end_dates)
# reconstruct the triples in a new order
reordered_triples = zip(begin_dates, end_dates, labels)
# because of the reordering, this will sort by begin_date
# then end_date, then label.
reordered_triples.sort()
conf['data'] = reordered_triples
# reconstruct the triples in a new order
reordered_triples = zip(begin_dates, end_dates, labels)
# because of the reordering, this will sort by begin_date
# then end_date, then label.
reordered_triples.sort()
conf['data'] = reordered_triples
def parse_date(self, date_string):
return parse(date_string)
def set_min_x_value(self, value):
if isinstance(value, basestring):
value = self.parse_date(value)
self._min_x_value = value
def parse_date(self, date_string):
return parse(date_string)
def set_min_x_value(self, value):
if isinstance(value, basestring):
value = self.parse_date(value)
self._min_x_value = value
def get_min_x_value(self):
return self._min_x_value
min_x_value = property(get_min_x_value, set_min_x_value)
def format(self, x, y):
return x.strftime(self.popup_format)
def get_x_labels(self):
format = lambda x: x.strftime(self.x_label_format)
return map(format, self.get_x_values())
def y_label_offset(self, height):
return height / -2.0
def get_y_labels(self):
# ruby version uses the last data supplied
last = -1
data = self.data[last]['data']
begin_dates, start_dates, labels = zip(*data)
return labels
def draw_data(self):
bar_gap = self.get_bar_gap(self.get_field_height())
subbar_height = self.get_field_height() - bar_gap
y_mod = (subbar_height / 2) + (self.font_size / 2)
x_min,x_max,div = self._x_range()
x_range = x_max - x_min
width = (float(self.graph_width) - self.font_size*2)
# time_scale
#scale /= x_range
scale = TimeScale(width, x_range)
# ruby version uses the last data supplied
last = -1
data = self.data[last]['data']
for index, (x_start, x_end, label) in enumerate(data):
count = index + 1 # index is 0-based, count is 1-based
y = self.graph_height - (self.get_field_height()*count)
bar_width = scale*(x_end-x_start)
bar_start = scale*(x_start-x_min)
etree.SubElement(self.graph, 'rect', {
'x': str(bar_start),
'y': str(y),
'width': str(bar_width),
'height': str(subbar_height),
'class': 'fill%s' % (count+1),
})
def get_min_x_value(self):
return self._min_x_value
min_x_value = property(get_min_x_value, set_min_x_value)
def format(self, x, y):
return x.strftime(self.popup_format)
def get_x_labels(self):
format = lambda x: x.strftime(self.x_label_format)
return map(format, self.get_x_values())
def y_label_offset(self, height):
return height / -2.0
def get_y_labels(self):
# ruby version uses the last data supplied
last = -1
data = self.data[last]['data']
begin_dates, start_dates, labels = zip(*data)
return labels
def draw_data(self):
bar_gap = self.get_bar_gap(self.get_field_height())
subbar_height = self.get_field_height() - bar_gap
y_mod = (subbar_height / 2) + (self.font_size / 2)
x_min,x_max,div = self._x_range()
x_range = x_max - x_min
width = (float(self.graph_width) - self.font_size*2)
# time_scale
#scale /= x_range
scale = TimeScale(width, x_range)
# ruby version uses the last data supplied
last = -1
data = self.data[last]['data']
for index, (x_start, x_end, label) in enumerate(data):
count = index + 1 # index is 0-based, count is 1-based
y = self.graph_height - (self.get_field_height()*count)
bar_width = scale*(x_end-x_start)
bar_start = scale*(x_start-x_min)
etree.SubElement(self.graph, 'rect', {
'x': str(bar_start),
'y': str(y),
'width': str(bar_width),
'height': str(subbar_height),
'class': 'fill%s' % (count+1),
})
def _x_range(self):
# ruby version uses teh last data supplied
last = -1
data = self.data[last]['data']
start_dates, end_dates, labels = zip(*data)
all_dates = start_dates + end_dates
max_value = max(all_dates)
if not self.min_x_value is None:
all_dates.append(self.min_x_value)
min_value = min(all_dates)
range = max_value - min_value
right_pad = divide_timedelta_float(range, 20.0) or relativedelta(days=10)
scale_range = (max_value + right_pad) - min_value
#scale_division = self.scale_x_divisions or (scale_range / 10.0)
# todo, remove timescale_x_divisions and use scale_x_divisions only
# but as a time delta
scale_division = divide_timedelta_float(scale_range, 10.0)
# this doesn't make sense, because x is a timescale
#if self.scale_x_integers:
# scale_division = min(round(scale_division), 1)
return min_value, max_value, scale_division
def get_x_values(self):
x_min, x_max, scale_division = self._x_range()
if self.timescale_divisions:
pattern = re.compile('(\d+) ?(\w+)')
m = pattern.match(self.timescale_divisions)
if not m:
raise ValueError, "Invalid timescale_divisions: %s" % self.timescale_divisions
magnitude = int(m.group(1))
units = m.group(2)
parameter = self.lookup_relativedelta_parameter(units)
delta = relativedelta(**{parameter:magnitude})
scale_division = delta
def _x_range(self):
# ruby version uses teh last data supplied
last = -1
data = self.data[last]['data']
start_dates, end_dates, labels = zip(*data)
all_dates = start_dates + end_dates
max_value = max(all_dates)
if not self.min_x_value is None:
all_dates.append(self.min_x_value)
min_value = min(all_dates)
range = max_value - min_value
right_pad = divide_timedelta_float(range, 20.0) or relativedelta(days=10)
scale_range = (max_value + right_pad) - min_value
#scale_division = self.scale_x_divisions or (scale_range / 10.0)
# todo, remove timescale_x_divisions and use scale_x_divisions only
# but as a time delta
scale_division = divide_timedelta_float(scale_range, 10.0)
# this doesn't make sense, because x is a timescale
#if self.scale_x_integers:
# scale_division = min(round(scale_division), 1)
return min_value, max_value, scale_division
def get_x_values(self):
x_min, x_max, scale_division = self._x_range()
if self.timescale_divisions:
pattern = re.compile('(\d+) ?(\w+)')
m = pattern.match(self.timescale_divisions)
if not m:
raise ValueError, "Invalid timescale_divisions: %s" % self.timescale_divisions
magnitude = int(m.group(1))
units = m.group(2)
parameter = self.lookup_relativedelta_parameter(units)
delta = relativedelta(**{parameter:magnitude})
scale_division = delta
return date_range(x_min, x_max, scale_division)
return date_range(x_min, x_max, scale_division)
def lookup_relativedelta_parameter(self, unit_string):
from util import reverse_mapping, flatten_mapping
unit_string = unit_string.lower()
mapping = dict(
years = ('years', 'year', 'yrs', 'yr'),
months = ('months', 'month', 'mo'),
weeks = ('weeks', 'week', 'wks' ,'wk'),
days = ('days', 'day'),
hours = ('hours', 'hour', 'hr', 'hrs', 'h'),
minutes = ('minutes', 'minute', 'min', 'mins', 'm'),
seconds = ('seconds', 'second', 'sec', 'secs', 's'),
)
mapping = reverse_mapping(mapping)
mapping = flatten_mapping(mapping)
if not unit_string in mapping:
raise ValueError, "%s doesn't match any supported time/date unit"
return mapping[unit_string]
def lookup_relativedelta_parameter(self, unit_string):
from util import reverse_mapping, flatten_mapping
unit_string = unit_string.lower()
mapping = dict(
years = ('years', 'year', 'yrs', 'yr'),
months = ('months', 'month', 'mo'),
weeks = ('weeks', 'week', 'wks' ,'wk'),
days = ('days', 'day'),
hours = ('hours', 'hour', 'hr', 'hrs', 'h'),
minutes = ('minutes', 'minute', 'min', 'mins', 'm'),
seconds = ('seconds', 'second', 'sec', 'secs', 's'),
)
mapping = reverse_mapping(mapping)
mapping = flatten_mapping(mapping)
if not unit_string in mapping:
raise ValueError, "%s doesn't match any supported time/date unit"
return mapping[unit_string]

328
svg/charts/time_series.py
Unescape View File

@ -11,173 +11,173 @@ fromtimestamp = datetime.datetime.fromtimestamp
from .util import float_range
class Plot(svg.charts.plot.Plot):
"""=== For creating SVG plots of scalar temporal data
= Synopsis
import SVG.TimeSeries
# Data sets are x,y pairs
data1 = ["6/17/72", 11, "1/11/72", 7, "4/13/04 17:31", 11,
"9/11/01", 9, "9/1/85", 2, "9/1/88", 1, "1/15/95", 13]
data2 = ["8/1/73", 18, "3/1/77", 15, "10/1/98", 4,
"5/1/02", 14, "3/1/95", 6, "8/1/91", 12, "12/1/87", 6,
"5/1/84", 17, "10/1/80", 12]
graph = SVG::Graph::TimeSeries.new({
:width => 640,
:height => 480,
:graph_title => title,
:show_graph_title => true,
:no_css => true,
:key => true,
:scale_x_integers => true,
:scale_y_integers => true,
:min_x_value => 0,
:min_y_value => 0,
:show_data_labels => true,
:show_x_guidelines => true,
:show_x_title => true,
:x_title => "Time",
:show_y_title => true,
:y_title => "Ice Cream Cones",
:y_title_text_direction => :bt,
:stagger_x_labels => true,
:x_label_format => "%m/%d/%y",
})
graph.add_data({
:data => projection
:title => 'Projected',
})
graph.add_data({
:data => actual,
:title => 'Actual',
})
print graph.burn()
= Description
Produces a graph of temporal scalar data.
= Examples
http://www.germane-software/repositories/public/SVG/test/timeseries.rb
= Notes
The default stylesheet handles upto 10 data sets, if you
use more you must create your own stylesheet and add the
additional settings for the extra data sets. You will know
if you go over 10 data sets as they will have no style and
be in black.
Unlike the other types of charts, data sets must contain x,y pairs:
["12:30", 2] # A data set with 1 point: ("12:30",2)
["01:00",2, "14:20",6] # A data set with 2 points: ("01:00",2) and
# ("14:20",6)
Note that multiple data sets within the same chart can differ in length,
and that the data in the datasets needn't be in order; they will be ordered
by the plot along the X-axis.
The dates must be parseable by ParseDate, but otherwise can be
any order of magnitude (seconds within the hour, or years)
= See also
* SVG::Graph::Graph
* SVG::Graph::BarHorizontal
* SVG::Graph::Bar
* SVG::Graph::Line
* SVG::Graph::Pie
* SVG::Graph::Plot
== Author
Sean E. Russell <serATgermaneHYPHENsoftwareDOTcom>
Copyright 2004 Sean E. Russell
This software is available under the Ruby license[LICENSE.txt]
"""=== For creating SVG plots of scalar temporal data
= Synopsis
import SVG.TimeSeries
# Data sets are x,y pairs
data1 = ["6/17/72", 11, "1/11/72", 7, "4/13/04 17:31", 11,
"9/11/01", 9, "9/1/85", 2, "9/1/88", 1, "1/15/95", 13]
data2 = ["8/1/73", 18, "3/1/77", 15, "10/1/98", 4,
"5/1/02", 14, "3/1/95", 6, "8/1/91", 12, "12/1/87", 6,
"5/1/84", 17, "10/1/80", 12]
graph = SVG::Graph::TimeSeries.new({
:width => 640,
:height => 480,
:graph_title => title,
:show_graph_title => true,
:no_css => true,
:key => true,
:scale_x_integers => true,
:scale_y_integers => true,
:min_x_value => 0,
:min_y_value => 0,
:show_data_labels => true,
:show_x_guidelines => true,
:show_x_title => true,
:x_title => "Time",
:show_y_title => true,
:y_title => "Ice Cream Cones",
:y_title_text_direction => :bt,
:stagger_x_labels => true,
:x_label_format => "%m/%d/%y",
})
graph.add_data({
:data => projection
:title => 'Projected',
})
graph.add_data({
:data => actual,
:title => 'Actual',
})
print graph.burn()
= Description
Produces a graph of temporal scalar data.
= Examples
http://www.germane-software/repositories/public/SVG/test/timeseries.rb
= Notes
The default stylesheet handles upto 10 data sets, if you
use more you must create your own stylesheet and add the
additional settings for the extra data sets. You will know
if you go over 10 data sets as they will have no style and
be in black.
Unlike the other types of charts, data sets must contain x,y pairs:
["12:30", 2] # A data set with 1 point: ("12:30",2)
["01:00",2, "14:20",6] # A data set with 2 points: ("01:00",2) and
# ("14:20",6)
Note that multiple data sets within the same chart can differ in length,
and that the data in the datasets needn't be in order; they will be ordered
by the plot along the X-axis.
The dates must be parseable by ParseDate, but otherwise can be
any order of magnitude (seconds within the hour, or years)
= See also
* SVG::Graph::Graph
* SVG::Graph::BarHorizontal
* SVG::Graph::Bar
* SVG::Graph::Line
* SVG::Graph::Pie
* SVG::Graph::Plot
== Author
Sean E. Russell <serATgermaneHYPHENsoftwareDOTcom>
Copyright 2004 Sean E. Russell
This software is available under the Ruby license[LICENSE.txt]
"""
popup_format = x_label_format = '%Y-%m-%d %H:%M:%S'
__doc_popup_format_ = "The formatting usped for the popups. See x_label_format"
__doc_x_label_format_ = "The format string used to format the X axis labels. See strftime."
timescale_divisions = None
__doc_timescale_divisions_ = """Use this to set the spacing between dates on the axis. The value
must be of the form
"\d+ ?(days|weeks|months|years|hours|minutes|seconds)?"
popup_format = x_label_format = '%Y-%m-%d %H:%M:%S'
__doc_popup_format_ = "The formatting usped for the popups. See x_label_format"
__doc_x_label_format_ = "The format string used to format the X axis labels. See strftime."
timescale_divisions = None
__doc_timescale_divisions_ = """Use this to set the spacing between dates on the axis. The value
must be of the form
"\d+ ?(days|weeks|months|years|hours|minutes|seconds)?"
EG:
EG:
graph.timescale_divisions = "2 weeks"
graph.timescale_divisions = "2 weeks"
will cause the chart to try to divide the X axis up into segments of
two week periods."""
def add_data(self, data):
"""Add data to the plot.
d1 = ["12:30", 2] # A data set with 1 point: ("12:30",2)
d2 = ["01:00",2, "14:20",6] # A data set with 2 points: ("01:00",2) and
# ("14:20",6)
graph.add_data(
:data => d1,
:title => 'One'
)
graph.add_data(
:data => d2,
:title => 'Two'
)
Note that the data must be in time,value pairs, and that the date format
may be any date that is parseable by ParseDate."""
super(Plot, self).add_data(data)
def process_data(self, data):
super(Plot, self).process_data(data)
# the date should be in the first element, so parse it out
data['data'][0] = map(self.parse_date, data['data'][0])
will cause the chart to try to divide the X axis up into segments of
two week periods."""
def add_data(self, data):
"""Add data to the plot.
d1 = ["12:30", 2] # A data set with 1 point: ("12:30",2)
d2 = ["01:00",2, "14:20",6] # A data set with 2 points: ("01:00",2) and
# ("14:20",6)
graph.add_data(
:data => d1,
:title => 'One'
)
graph.add_data(
:data => d2,
:title => 'Two'
)
Note that the data must be in time,value pairs, and that the date format
may be any date that is parseable by ParseDate."""
super(Plot, self).add_data(data)
def process_data(self, data):
super(Plot, self).process_data(data)
# the date should be in the first element, so parse it out
data['data'][0] = map(self.parse_date, data['data'][0])
_min_x_value = svg.charts.plot.Plot.min_x_value
def get_min_x_value(self):
return self._min_x_value
def set_min_x_value(self, date):
self._min_x_value = self.parse_date(date)
min_x_value = property(get_min_x_value, set_min_x_value)
def format(self, x, y):
return fromtimestamp(x).strftime(self.popup_format)
def get_x_labels(self):
return map(lambda t: fromtimestamp(t).strftime(self.x_label_format), self.get_x_values())
_min_x_value = svg.charts.plot.Plot.min_x_value
def get_min_x_value(self):
return self._min_x_value
def set_min_x_value(self, date):
self._min_x_value = self.parse_date(date)
min_x_value = property(get_min_x_value, set_min_x_value)
def format(self, x, y):
return fromtimestamp(x).strftime(self.popup_format)
def get_x_labels(self):
return map(lambda t: fromtimestamp(t).strftime(self.x_label_format), self.get_x_values())
def get_x_values(self):
result = self.get_x_timescale_division_values()
if result: return result
return tuple(float_range(*self.x_range()))
def get_x_timescale_division_values(self):
if not self.timescale_divisions: return
min, max, scale_division = self.x_range()
m = re.match('(?P<amount>\d+) ?(?P<division_units>days|weeks|months|years|hours|minutes|seconds)?', self.timescale_divisions)
# copy amount and division_units into the local namespace
division_units = m.groupdict()['division_units'] or 'days'
amount = int(m.groupdict()['amount'])
if not amount: return
delta = relativedelta(**{division_units: amount})
result = tuple(self.get_time_range(min, max, delta))
return result
def get_time_range(self, start, stop, delta):
start, stop = map(fromtimestamp, (start, stop))
current = start
while current <= stop:
yield mktime(current.timetuple())
current += delta
def parse_date(self, date_string):
return mktime(parse(date_string).timetuple())
def get_x_values(self):
result = self.get_x_timescale_division_values()
if result: return result
return tuple(float_range(*self.x_range()))
def get_x_timescale_division_values(self):
if not self.timescale_divisions: return
min, max, scale_division = self.x_range()
m = re.match('(?P<amount>\d+) ?(?P<division_units>days|weeks|months|years|hours|minutes|seconds)?', self.timescale_divisions)
# copy amount and division_units into the local namespace
division_units = m.groupdict()['division_units'] or 'days'
amount = int(m.groupdict()['amount'])
if not amount: return
delta = relativedelta(**{division_units: amount})
result = tuple(self.get_time_range(min, max, delta))
return result
def get_time_range(self, start, stop, delta):
start, stop = map(fromtimestamp, (start, stop))
current = start
while current <= stop:
yield mktime(current.timetuple())
current += delta
def parse_date(self, date_string):
return mktime(parse(date_string).timetuple())

252
svg/charts/util.py
Unescape View File

@ -5,158 +5,158 @@ import datetime
# from itertools recipes (python documentation)
def grouper(n, iterable, padvalue=None):
"""
>>> tuple(grouper(3, 'abcdefg', 'x'))
(('a', 'b', 'c'), ('d', 'e', 'f'), ('g', 'x', 'x'))
"""
return itertools.izip(*[itertools.chain(iterable, itertools.repeat(padvalue, n-1))]*n)
"""
>>> tuple(grouper(3, 'abcdefg', 'x'))
(('a', 'b', 'c'), ('d', 'e', 'f'), ('g', 'x', 'x'))
"""
return itertools.izip(*[itertools.chain(iterable, itertools.repeat(padvalue, n-1))]*n)
def reverse_mapping(mapping):
"""
For every key, value pair, return the mapping for the
equivalent value, key pair
>>> reverse_mapping({'a': 'b'}) == {'b': 'a'}
True
"""
keys, values = zip(*mapping.items())
return dict(zip(values, keys))
"""
For every key, value pair, return the mapping for the
equivalent value, key pair
>>> reverse_mapping({'a': 'b'}) == {'b': 'a'}
True
"""
keys, values = zip(*mapping.items())
return dict(zip(values, keys))
def flatten_mapping(mapping):
"""
For every key that has an __iter__ method, assign the values
to a key for each.
>>> flatten_mapping({'ab': 3, ('c','d'): 4}) == {'ab': 3, 'c': 4, 'd': 4}
True
"""
return dict(flatten_items(mapping.items()))
"""
For every key that has an __iter__ method, assign the values
to a key for each.
>>> flatten_mapping({'ab': 3, ('c','d'): 4}) == {'ab': 3, 'c': 4, 'd': 4}
True
"""
return dict(flatten_items(mapping.items()))
def flatten_items(items):
for keys, value in items:
if hasattr(keys, '__iter__'):
for key in keys:
yield (key, value)
else:
yield (keys, value)
for keys, value in items:
if hasattr(keys, '__iter__'):
for key in keys:
yield (key, value)
else:
yield (keys, value)
def float_range(start=0, stop=None, step=1):
"""
Much like the built-in function range, but accepts floats
>>> tuple(float_range(0, 9, 1.5))
(0.0, 1.5, 3.0, 4.5, 6.0, 7.5)
"""
start = float(start)
while start < stop:
yield start
start += step
"""
Much like the built-in function range, but accepts floats
>>> tuple(float_range(0, 9, 1.5))
(0.0, 1.5, 3.0, 4.5, 6.0, 7.5)
"""
start = float(start)
while start < stop:
yield start
start += step
def date_range(start=None, stop=None, step=None):
"""
Much like the built-in function range, but works with dates
>>> my_range = tuple(date_range(datetime.datetime(2005,12,21), datetime.datetime(2005,12,25)))
>>> datetime.datetime(2005,12,21) in my_range
True
>>> datetime.datetime(2005,12,22) in my_range
True
>>> datetime.datetime(2005,12,25) in my_range
False
"""
if step is None: step = datetime.timedelta(days=1)
if start is None: start = datetime.datetime.now()
while start < stop:
yield start
start += step
"""
Much like the built-in function range, but works with dates
>>> my_range = tuple(date_range(datetime.datetime(2005,12,21), datetime.datetime(2005,12,25)))
>>> datetime.datetime(2005,12,21) in my_range
True
>>> datetime.datetime(2005,12,22) in my_range
True
>>> datetime.datetime(2005,12,25) in my_range
False
"""
if step is None: step = datetime.timedelta(days=1)
if start is None: start = datetime.datetime.now()
while start < stop:
yield start
start += step
# copied from jaraco.datetools
def divide_timedelta_float(td, divisor):
"""
Meant to work around the limitation that Python datetime doesn't support
floats as divisors or multiplicands to datetime objects
>>> one_day = datetime.timedelta(days=1)
>>> half_day = datetime.timedelta(days=.5)
>>> divide_timedelta_float(one_day, 2.0) == half_day
True
>>> divide_timedelta_float(one_day, 2) == half_day
False
"""
# td is comprised of days, seconds, microseconds
dsm = [getattr(td, attr) for attr in ('days', 'seconds', 'microseconds')]
dsm = map(lambda elem: elem/divisor, dsm)
return datetime.timedelta(*dsm)
"""
Meant to work around the limitation that Python datetime doesn't support
floats as divisors or multiplicands to datetime objects
>>> one_day = datetime.timedelta(days=1)
>>> half_day = datetime.timedelta(days=.5)
>>> divide_timedelta_float(one_day, 2.0) == half_day
True
>>> divide_timedelta_float(one_day, 2) == half_day
False
"""
# td is comprised of days, seconds, microseconds
dsm = [getattr(td, attr) for attr in ('days', 'seconds', 'microseconds')]
dsm = map(lambda elem: elem/divisor, dsm)
return datetime.timedelta(*dsm)
def get_timedelta_total_microseconds(td):
seconds = td.days*86400 + td.seconds
microseconds = td.microseconds + seconds*(10**6)
return microseconds
seconds = td.days*86400 + td.seconds
microseconds = td.microseconds + seconds*(10**6)
return microseconds
def divide_timedelta(td1, td2):
"""
Get the ratio of two timedeltas
>>> one_day = datetime.timedelta(days=1)
>>> one_hour = datetime.timedelta(hours=1)
>>> divide_timedelta(one_hour, one_day) == 1/24.0
True
"""
td1_total = float(get_timedelta_total_microseconds(td1))
td2_total = float(get_timedelta_total_microseconds(td2))
return td1_total/td2_total
"""
Get the ratio of two timedeltas
>>> one_day = datetime.timedelta(days=1)
>>> one_hour = datetime.timedelta(hours=1)
>>> divide_timedelta(one_hour, one_day) == 1/24.0
True
"""
td1_total = float(get_timedelta_total_microseconds(td1))
td2_total = float(get_timedelta_total_microseconds(td2))
return td1_total/td2_total
class TimeScale(object):
"Describes a scale factor based on time instead of a scalar"
def __init__(self, width, range):
self.width = width
self.range = range
"Describes a scale factor based on time instead of a scalar"
def __init__(self, width, range):
self.width = width
self.range = range
def __mul__(self, delta):
scale = divide_timedelta(delta, self.range)
return scale*self.width
def __mul__(self, delta):
scale = divide_timedelta(delta, self.range)
return scale*self.width
# the following three functions were copied from jaraco.util.iter_
# todo, factor out caching capability
class iterable_test(dict):
"Test objects for iterability, caching the result by type"
def __init__(self, ignore_classes=(basestring,)):
"""ignore_classes must include basestring, because if a string
is iterable, so is a single character, and the routine runs
into an infinite recursion"""
assert basestring in ignore_classes, 'basestring must be in ignore_classes'
self.ignore_classes = ignore_classes
def __getitem__(self, candidate):
return dict.get(self, type(candidate)) or self._test(candidate)
def _test(self, candidate):
try:
if isinstance(candidate, self.ignore_classes):
raise TypeError
iter(candidate)
result = True
except TypeError:
result = False
self[type(candidate)] = result
return result
"Test objects for iterability, caching the result by type"
def __init__(self, ignore_classes=(basestring,)):
"""ignore_classes must include basestring, because if a string
is iterable, so is a single character, and the routine runs
into an infinite recursion"""
assert basestring in ignore_classes, 'basestring must be in ignore_classes'
self.ignore_classes = ignore_classes
def __getitem__(self, candidate):
return dict.get(self, type(candidate)) or self._test(candidate)
def _test(self, candidate):
try:
if isinstance(candidate, self.ignore_classes):
raise TypeError
iter(candidate)
result = True
except TypeError:
result = False
self[type(candidate)] = result
return result
def iflatten(subject, test=None):
if test is None:
test = iterable_test()
if not test[subject]:
yield subject
else:
for elem in subject:
for subelem in iflatten(elem, test):
yield subelem
if test is None:
test = iterable_test()
if not test[subject]:
yield subject
else:
for elem in subject:
for subelem in iflatten(elem, test):
yield subelem
def flatten(subject, test=None):
"""flatten an iterable with possible nested iterables.
Adapted from
http://mail.python.org/pipermail/python-list/2003-November/233971.html
>>> flatten(['a','b',['c','d',['e','f'],'g'],'h']) == ['a','b','c','d','e','f','g','h']
True
Note this will normally ignore string types as iterables.
>>> flatten(['ab', 'c'])
['ab', 'c']
"""
return list(iflatten(subject, test))
"""flatten an iterable with possible nested iterables.
Adapted from
http://mail.python.org/pipermail/python-list/2003-November/233971.html
>>> flatten(['a','b',['c','d',['e','f'],'g'],'h']) == ['a','b','c','d','e','f','g','h']
True
Note this will normally ignore string types as iterables.
>>> flatten(['ab', 'c'])
['ab', 'c']
"""
return list(iflatten(subject, test))

268
tests/samples.py
Unescape View File

@ -12,168 +12,168 @@ from svg.charts import schedule
from svg.charts import line
def sample_Plot():
g = Plot({
'min_x_value': 0,
'min_y_value': 0,
'area_fill': True,
'stagger_x_labels': True,
'stagger_y_labels': True,
'show_x_guidelines': True
})
g.add_data({'data': [1, 25, 2, 30, 3, 45], 'title': 'series 1'})
g.add_data({'data': [1,30, 2, 31, 3, 40], 'title': 'series 2'})
g.add_data({'data': [.5,35, 1, 20, 3, 10.5], 'title': 'series 3'})
return g
g = Plot({
'min_x_value': 0,
'min_y_value': 0,
'area_fill': True,
'stagger_x_labels': True,
'stagger_y_labels': True,
'show_x_guidelines': True
})
g.add_data({'data': [1, 25, 2, 30, 3, 45], 'title': 'series 1'})
g.add_data({'data': [1,30, 2, 31, 3, 40], 'title': 'series 2'})
g.add_data({'data': [.5,35, 1, 20, 3, 10.5], 'title': 'series 3'})
return g
def sample_TimeSeries():
g = time_series.Plot({})
g = time_series.Plot({})
g.timescale_divisions = '4 hours'
g.stagger_x_labels = True
g.x_label_format = '%d-%b %H:%M'
#g.max_y_value = 200
g.timescale_divisions = '4 hours'
g.stagger_x_labels = True
g.x_label_format = '%d-%b %H:%M'
#g.max_y_value = 200
g.add_data({'data': ['2005-12-21T00:00:00', 20, '2005-12-22T00:00:00', 21], 'title': 'series 1'})
g.add_data({'data': ['2005-12-21T00:00:00', 20, '2005-12-22T00:00:00', 21], 'title': 'series 1'})
return g
return g
def generate_samples():
yield 'Plot', sample_Plot()
yield 'TimeSeries', sample_TimeSeries()
yield 'VerticalBar', SampleBar.vertical()
yield 'HorizontalBar', SampleBar.horizontal()
yield 'VerticalBarLarge', SampleBar.vertical_large()
yield 'Pie', sample_Pie()
yield 'Schedule', sample_Schedule()
yield 'Line', sample_Line()
yield 'Plot', sample_Plot()
yield 'TimeSeries', sample_TimeSeries()
yield 'VerticalBar', SampleBar.vertical()
yield 'HorizontalBar', SampleBar.horizontal()
yield 'VerticalBarLarge', SampleBar.vertical_large()
yield 'Pie', sample_Pie()
yield 'Schedule', sample_Schedule()
yield 'Line', sample_Line()
class SampleBar:
fields = ['Internet', 'TV', 'Newspaper', 'Magazine', 'Radio']
fields = ['Internet', 'TV', 'Newspaper', 'Magazine', 'Radio']
@classmethod
def vertical(cls):
@classmethod
def vertical(cls):
g = bar.VerticalBar(cls.fields)
g = bar.VerticalBar(cls.fields)
g.stack = 'side'
g.scale_integers = True
g.width, g.height = 640,480
g.graph_title = 'Question 7'
g.show_graph_title = True
g.stack = 'side'
g.scale_integers = True
g.width, g.height = 640,480
g.graph_title = 'Question 7'
g.show_graph_title = True
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
return g
return g
@classmethod
def horizontal(cls):
g = bar.HorizontalBar(cls.fields)
@classmethod
def horizontal(cls):
g = bar.HorizontalBar(cls.fields)
g.stack = 'side'
g.scale_integers = True
g.width, g.height = 640,480
g.graph_title = 'Question 7'
g.show_graph_title = True
g.stack = 'side'
g.scale_integers = True
g.width, g.height = 640,480
g.graph_title = 'Question 7'
g.show_graph_title = True
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
return g
return g
@classmethod
def vertical_large(cls):
g = bar.VerticalBar(cls.fields)
options = dict(
scale_integers=True,
stack='side',
width=640,
height=480,
graph_title='Question 8',
show_graph_title=True,
no_css=False,)
g.__dict__.update(options)
@classmethod
def vertical_large(cls):
g = bar.VerticalBar(cls.fields)
options = dict(
scale_integers=True,
stack='side',
width=640,
height=480,
graph_title='Question 8',
show_graph_title=True,
no_css=False,)
g.__dict__.update(options)
g.add_data(dict(data=[2,22,98,143,82], title='intermediate'))
g.add_data(dict(data=[2,26,106,193,105], title='old'))
return g
g.add_data(dict(data=[2,22,98,143,82], title='intermediate'))
g.add_data(dict(data=[2,26,106,193,105], title='old'))
return g
def sample_Line():
g = line.Line()
options = dict(
scale_integers = True,
area_fill = True,
width = 640,
height = 480,
fields = SampleBar.fields,
graph_title = 'Question 7',
show_graph_title = True,
no_css = False,
)
g.__dict__.update(options)
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
return g
g = line.Line()
options = dict(
scale_integers = True,
area_fill = True,
width = 640,
height = 480,
fields = SampleBar.fields,
graph_title = 'Question 7',
show_graph_title = True,
no_css = False,
)
g.__dict__.update(options)
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
return g
def sample_Pie():
g = pie.Pie({})
options = dict(
width=640,
height=480,
fields=SampleBar.fields,
graph_title='Question 7',
expand_greatest = True,
show_data_labels = True,
)
g.__dict__.update(options)
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
return g
g = pie.Pie({})
options = dict(
width=640,
height=480,
fields=SampleBar.fields,
graph_title='Question 7',
expand_greatest = True,
show_data_labels = True,
)
g.__dict__.update(options)
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
return g
def sample_Schedule():
title = "Billy's Schedule"
data1 = [
"History 107", "5/19/04", "6/30/04",
"Algebra 011", "6/2/04", "8/11/04",
"Psychology 101", "6/28/04", "8/9/04",
"Acting 105", "7/7/04", "8/16/04"
]
g = schedule.Schedule(dict(
width = 640,
height = 480,
graph_title = title,
show_graph_title = True,
key = False,
scale_x_integers = True,
scale_y_integers = True,
show_data_labels = True,
show_y_guidelines = False,
show_x_guidelines = True,
# show_x_title = True, # not yet implemented
x_title = "Time",
show_y_title = False,
rotate_x_labels = True,
rotate_y_labels = False,
x_label_format = "%m/%d",
timescale_divisions = "1 week",
add_popups = True,
popup_format = "%m/%d/%y",
area_fill = True,
min_y_value = 0,
))
g.add_data(dict(data=data1, title="Data"))
return g
title = "Billy's Schedule"
data1 = [
"History 107", "5/19/04", "6/30/04",
"Algebra 011", "6/2/04", "8/11/04",
"Psychology 101", "6/28/04", "8/9/04",
"Acting 105", "7/7/04", "8/16/04"
]
g = schedule.Schedule(dict(
width = 640,
height = 480,
graph_title = title,
show_graph_title = True,
key = False,
scale_x_integers = True,
scale_y_integers = True,
show_data_labels = True,
show_y_guidelines = False,
show_x_guidelines = True,
# show_x_title = True, # not yet implemented
x_title = "Time",
show_y_title = False,
rotate_x_labels = True,
rotate_y_labels = False,
x_label_format = "%m/%d",
timescale_divisions = "1 week",
add_popups = True,
popup_format = "%m/%d/%y",
area_fill = True,
min_y_value = 0,
))
g.add_data(dict(data=data1, title="Data"))
return g
def save_samples():
root = os.path.dirname(__file__)
for sample_name, sample in generate_samples():
res = sample.burn()
with open(os.path.join(root, sample_name+'.py.svg'), 'w') as f:
f.write(res)
root = os.path.dirname(__file__)
for sample_name, sample in generate_samples():
res = sample.burn()
with open(os.path.join(root, sample_name+'.py.svg'), 'w') as f:
f.write(res)
if __name__ == '__main__':
save_samples()
save_samples()

28
tests/test_plot.py
Unescape View File

@ -2,19 +2,19 @@
import unittest
class PlotTester(unittest.TestCase):
def test_index_error_2010_04(self):
"""
Reported by Jean Schurger
a 'IndexError: tuple index out of range' when there are only two
values returned by float_range (in the case there are only two
different 'y' values in the data) and 'scale_y_integers == True'.
Credit to Jean for the test code as well.
"""
from svg.charts.plot import Plot
g = Plot(dict(scale_y_integers = True))
g.add_data(dict(data=[1, 0, 2, 1], title='foo'))
res = g.burn()
def test_index_error_2010_04(self):
"""
Reported by Jean Schurger
a 'IndexError: tuple index out of range' when there are only two
values returned by float_range (in the case there are only two
different 'y' values in the data) and 'scale_y_integers == True'.
Credit to Jean for the test code as well.
"""
from svg.charts.plot import Plot
g = Plot(dict(scale_y_integers = True))
g.add_data(dict(data=[1, 0, 2, 1], title='foo'))
res = g.burn()
if __name__ == '__main__':
unittest.main()
unittest.main()

8
tests/test_samples.py
Unescape View File

@ -1,9 +1,9 @@
import samples
def pytest_generate_tests(metafunc):
if "sample" in metafunc.funcargnames:
for name, chart in samples.generate_samples():
metafunc.addcall(funcargs=dict(sample=chart))
if "sample" in metafunc.funcargnames:
for name, chart in samples.generate_samples():
metafunc.addcall(funcargs=dict(sample=chart))
def test_sample(sample):
res = sample.burn()
res = sample.burn()

24
tests/test_time_series.py
Unescape View File

@ -1,17 +1,17 @@
from svg.charts import time_series
def test_field_width():
"""
cking reports in a comment on PyPI that the X-axis labels all
bunch up on the left. This tests confirms the bug and tests for its
correctness.
"""
g = time_series.Plot({})
"""
cking reports in a comment on PyPI that the X-axis labels all
bunch up on the left. This tests confirms the bug and tests for its
correctness.
"""
g = time_series.Plot({})
g.timescale_divisions = '4 hours'
g.stagger_x_labels = True
g.x_label_format = '%d-%b %H:%M'
g.timescale_divisions = '4 hours'
g.stagger_x_labels = True
g.x_label_format = '%d-%b %H:%M'
g.add_data({'data': ['2005-12-21T00:00:00', 20, '2005-12-22T00:00:00', 21], 'title': 'series 1'})
g.burn()
assert g.field_width() > 1
g.add_data({'data': ['2005-12-21T00:00:00', 20, '2005-12-22T00:00:00', 21], 'title': 'series 1'})
g.burn()
assert g.field_width() > 1

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