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bar_chart.py
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bar_chart.py
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"""
Bar Charts
"""
#*****************************************************************************
# Copyright (C) 2006 Alex Clemesha <clemesha@gmail.com>,
# William Stein <wstein@gmail.com>,
# 2008 Mike Hansen <mhansen@gmail.com>,
#
# Distributed under the terms of the GNU General Public License (GPL)
#
# This code is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# The full text of the GPL is available at:
#
# http://www.gnu.org/licenses/
#*****************************************************************************
from sage.plot.primitive import GraphicPrimitive
from sage.plot.plot import minmax_data
from sage.plot.graphics import Graphics
from sage.misc.decorators import options, rename_keyword
#TODO: make bar_chart more general
class BarChart(GraphicPrimitive):
"""
Graphics primitive that represents a bar chart.
EXAMPLES::
sage: from sage.plot.bar_chart import BarChart
sage: g = BarChart(list(range(4)), [1,3,2,0], {}); g
BarChart defined by a 4 datalist
sage: type(g)
<class 'sage.plot.bar_chart.BarChart'>
"""
def __init__(self, ind, datalist, options):
"""
Initialize a ``BarChart`` primitive.
EXAMPLES::
sage: from sage.plot.bar_chart import BarChart
sage: BarChart(list(range(3)), [10,3,5], {'width':0.7})
BarChart defined by a 3 datalist
"""
self.datalist = datalist
self.ind = ind
GraphicPrimitive.__init__(self, options)
def get_minmax_data(self):
"""
Returns a dictionary with the bounding box data.
EXAMPLES::
sage: b = bar_chart([-2.3,5,-6,12])
sage: d = b.get_minmax_data()
sage: d['xmin']
0
sage: d['xmax']
4
"""
return minmax_data([0, len(self.datalist)], self.datalist, dict=True)
def _allowed_options(self):
"""
Return the allowed options with descriptions for this graphics
primitive. This is used in displaying an error message when the
user gives an option that doesn't make sense.
EXAMPLES::
sage: from sage.plot.bar_chart import BarChart
sage: g = BarChart(list(range(4)), [1,3,2,0], {})
sage: list(sorted(g._allowed_options().iteritems()))
[('hue', 'The color given as a hue.'), ('legend_label', 'The label for this item in the legend.'), ('rgbcolor', 'The color as an RGB tuple.'), ('width', 'The width of the bars'), ('zorder', 'The layer level in which to draw')]
"""
return {'rgbcolor':'The color as an RGB tuple.',
'hue':'The color given as a hue.',
'legend_label':'The label for this item in the legend.',
'width':'The width of the bars',
'zorder':'The layer level in which to draw'}
def _repr_(self):
"""
Return text representation of this bar chart graphics primitive.
EXAMPLES::
sage: from sage.plot.bar_chart import BarChart
sage: g = BarChart(list(range(4)), [1,3,2,0], {})
sage: g._repr_()
'BarChart defined by a 4 datalist'
"""
return "BarChart defined by a %s datalist"%(len(self.datalist))
def _render_on_subplot(self, subplot):
"""
Render this bar chart graphics primitive on a matplotlib subplot
object.
EXAMPLES:
This rendering happens implicitly when the following command
is executed::
sage: bar_chart([1,2,10])
Graphics object consisting of 1 graphics primitive
"""
options = self.options()
color = options['rgbcolor']
width = float(options['width'])
# it is critical to make NumPy arrays of type float below,
# or bar will go boom:
import numpy
ind = numpy.array(self.ind, dtype=float)
datalist = numpy.array(self.datalist, dtype=float)
subplot.bar(ind, datalist, color=color, width=width, label=options['legend_label'])
@rename_keyword(color='rgbcolor')
@options(width=0.5, rgbcolor=(0,0,1), legend_label=None, aspect_ratio='automatic')
def bar_chart(datalist, **options):
"""
A bar chart of (currently) one list of numerical data.
Support for more data lists in progress.
EXAMPLES:
A bar_chart with blue bars::
sage: bar_chart([1,2,3,4])
Graphics object consisting of 1 graphics primitive
A bar_chart with thinner bars::
sage: bar_chart([x^2 for x in range(1,20)], width=0.2)
Graphics object consisting of 1 graphics primitive
A bar_chart with negative values and red bars::
sage: bar_chart([-3,5,-6,11], rgbcolor=(1,0,0))
Graphics object consisting of 1 graphics primitive
A bar chart with a legend (it's possible, not necessarily useful)::
sage: bar_chart([-1,1,-1,1], legend_label='wave')
Graphics object consisting of 1 graphics primitive
Extra options will get passed on to show(), as long as they are valid::
sage: bar_chart([-2,8,-7,3], rgbcolor=(1,0,0), axes=False)
Graphics object consisting of 1 graphics primitive
sage: bar_chart([-2,8,-7,3], rgbcolor=(1,0,0)).show(axes=False) # These are equivalent
"""
dl = len(datalist)
#if dl > 1:
# print "WARNING, currently only 1 data set allowed"
# datalist = datalist[0]
if dl == 3:
datalist = datalist+[0]
#bardata = []
#cnt = 1
#for pnts in datalist:
#ind = [i+cnt/dl for i in range(len(pnts))]
#bardata.append([ind, pnts, xrange, yrange])
#cnt += 1
g = Graphics()
g._set_extra_kwds(Graphics._extract_kwds_for_show(options))
#TODO: improve below for multiple data sets!
#cnt = 1
#for ind, pnts, xrange, yrange in bardata:
#options={'rgbcolor':hue(cnt/dl),'width':0.5/dl}
# g._bar_chart(ind, pnts, xrange, yrange, options=options)
# cnt += 1
#else:
ind = list(range(len(datalist)))
g.add_primitive(BarChart(ind, datalist, options=options))
if options['legend_label']:
g.legend(True)
return g