barchart.py revision 2179:7e15ffdd03d8 
1# Copyright (c) 2005-2006 The Regents of The University of Michigan
2# All rights reserved.
3#
4# Redistribution and use in source and binary forms, with or without
5# modification, are permitted provided that the following conditions are
6# met: redistributions of source code must retain the above copyright
7# notice, this list of conditions and the following disclaimer;
8# redistributions in binary form must reproduce the above copyright
9# notice, this list of conditions and the following disclaimer in the
10# documentation and/or other materials provided with the distribution;
11# neither the name of the copyright holders nor the names of its
12# contributors may be used to endorse or promote products derived from
13# this software without specific prior written permission.
14#
15# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
16# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
17# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
18# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
19# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
20# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
21# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
22# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
23# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
24# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
25# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
26#
27# Authors: Nathan Binkert
28#          Lisa Hsu
29
30import matplotlib, pylab
31from matplotlib.font_manager import FontProperties
32from matplotlib.numerix import array, arange, reshape, shape, transpose, zeros
33from matplotlib.numerix import Float
34from matplotlib.ticker import NullLocator
35
36matplotlib.interactive(False)
37
38from chart import ChartOptions
39
40class BarChart(ChartOptions):
41    def __init__(self, default=None, **kwargs):
42        super(BarChart, self).__init__(default, **kwargs)
43        self.inputdata = None
44        self.chartdata = None
45
46    def gen_colors(self, count):
47        cmap = matplotlib.cm.get_cmap(self.colormap)
48        if count == 1:
49            return cmap([ 0.5 ])
50
51        if count < 5:
52            return cmap(arange(5) / float(4))[:count]
53
54        return cmap(arange(count) / float(count - 1))
55
56    # The input data format does not match the data format that the
57    # graph function takes because it is intuitive.  The conversion
58    # from input data format to chart data format depends on the
59    # dimensionality of the input data.  Check here for the
60    # dimensionality and correctness of the input data
61    def set_data(self, data):
62        if data is None:
63            self.inputdata = None
64            self.chartdata = None
65            return
66
67        data = array(data)
68        dim = len(shape(data))
69        if dim not in (1, 2, 3):
70            raise AttributeError, "Input data must be a 1, 2, or 3d matrix"
71        self.inputdata = data
72
73        # If the input data is a 1d matrix, then it describes a
74        # standard bar chart.
75        if dim == 1:
76            self.chartdata = array([[data]])
77
78        # If the input data is a 2d matrix, then it describes a bar
79        # chart with groups. The matrix being an array of groups of
80        # bars.
81        if dim == 2:
82            self.chartdata = transpose([data], axes=(2,0,1))
83
84        # If the input data is a 3d matrix, then it describes an array
85        # of groups of bars with each bar being an array of stacked
86        # values.
87        if dim == 3:
88            self.chartdata = transpose(data, axes=(1,2,0))
89
90    def get_data(self):
91        return self.inputdata
92
93    data = property(get_data, set_data)
94
95    # Graph the chart data.
96    # Input is a 3d matrix that describes a plot that has multiple
97    # groups, multiple bars in each group, and multiple values stacked
98    # in each bar.  The underlying bar() function expects a sequence of
99    # bars in the same stack location and same group location, so the
100    # organization of the matrix is that the inner most sequence
101    # represents one of these bar groups, then those are grouped
102    # together to make one full stack of bars in each group, and then
103    # the outer most layer describes the groups.  Here is an example
104    # data set and how it gets plotted as a result.
105    #
106    # e.g. data = [[[10,11,12], [13,14,15],  [16,17,18], [19,20,21]],
107    #              [[22,23,24], [25,26,27],  [28,29,30], [31,32,33]]]
108    #
109    # will plot like this:
110    #
111    #    19 31    20 32    21 33
112    #    16 28    17 29    18 30
113    #    13 25    14 26    15 27
114    #    10 22    11 23    12 24
115    #
116    # Because this arrangement is rather conterintuitive, the rearrange
117    # function takes various matricies and arranges them to fit this
118    # profile.
119    #
120    # This code deals with one of the dimensions in the matrix being
121    # one wide.
122    #
123    def graph(self):
124        if self.chartdata is None:
125            raise AttributeError, "Data not set for bar chart!"
126
127        dim = len(shape(self.inputdata))
128        cshape = shape(self.chartdata)
129        if dim == 1:
130            colors = self.gen_colors(cshape[2])
131            colors = [ [ colors ] * cshape[1] ] * cshape[0]
132
133        if dim == 2:
134            colors = self.gen_colors(cshape[0])
135            colors = [ [ [ c ] * cshape[2] ] * cshape[1] for c in colors ]
136
137        if dim == 3:
138            colors = self.gen_colors(cshape[1])
139            colors = [ [ [ c ] * cshape[2] for c in colors ] ] * cshape[0]
140
141        colors = array(colors)
142
143        self.figure = pylab.figure(figsize=self.chart_size)
144
145        outer_axes = None
146        inner_axes = None
147        if self.xsubticks is not None:
148            color = self.figure.get_facecolor()
149            self.metaaxes = self.figure.add_axes(self.figure_size, axisbg=color, frameon=False)
150            for tick in self.metaaxes.xaxis.majorTicks:
151                tick.tick1On = False
152                tick.tick2On = False
153            self.metaaxes.set_yticklabels([])
154            self.metaaxes.set_yticks([])
155            size = [0] * 4
156            size[0] = self.figure_size[0]
157            size[1] = self.figure_size[1] + .12
158            size[2] = self.figure_size[2]
159            size[3] = self.figure_size[3] - .12
160            self.axes = self.figure.add_axes(size)
161            outer_axes = self.metaaxes
162            inner_axes = self.axes
163        else:
164            self.axes = self.figure.add_axes(self.figure_size)
165            outer_axes = self.axes
166            inner_axes = self.axes
167
168        bars_in_group = len(self.chartdata)
169
170        width = 1.0 / ( bars_in_group + 1)
171        center = width / 2
172
173        bars = []
174        for i,stackdata in enumerate(self.chartdata):
175            bottom = array([0.0] * len(stackdata[0]), Float)
176            stack = []
177            for j,bardata in enumerate(stackdata):
178                bardata = array(bardata)
179                ind = arange(len(bardata)) + i * width + center
180                bar = self.axes.bar(ind, bardata, width, bottom=bottom,
181                                    color=colors[i][j])
182                if self.xsubticks is not None:
183                    self.metaaxes.bar(ind, [0] * len(bardata), width)
184                stack.append(bar)
185                bottom += bardata
186            bars.append(stack)
187
188        if self.xlabel is not None:
189            outer_axes.set_xlabel(self.xlabel)
190
191        if self.ylabel is not None:
192            inner_axes.set_ylabel(self.ylabel)
193
194        if self.yticks is not None:
195            ymin, ymax = self.axes.get_ylim()
196            nticks = float(len(self.yticks))
197            ticks = arange(nticks) / (nticks - 1) * (ymax - ymin)  + ymin
198            inner_axes.set_yticks(ticks)
199            inner_axes.set_yticklabels(self.yticks)
200        elif self.ylim is not None:
201            self.inner_axes.set_ylim(self.ylim)
202
203        if self.xticks is not None:
204            outer_axes.set_xticks(arange(cshape[2]) + .5)
205            outer_axes.set_xticklabels(self.xticks)
206
207        if self.xsubticks is not None:
208            inner_axes.set_xticks(arange((cshape[0] + 1)*cshape[2])*width + 2*center)
209            self.xsubticks.append('')
210            inner_axes.set_xticklabels(self.xsubticks * cshape[2], fontsize=7, rotation=90)
211
212        if self.legend is not None:
213            if dim == 1:
214                lbars = bars[0][0]
215            if dim == 2:
216                lbars = [ bars[i][0][0] for i in xrange(len(bars))]
217            if dim == 3:
218                number = len(bars[0])
219                lbars = [ bars[0][number - j - 1][0] for j in xrange(number)]
220
221            self.figure.legend(lbars, self.legend, self.legend_loc,
222                               prop=FontProperties(size=self.legend_size))
223
224        if self.title is not None:
225            self.axes.set_title(self.title)
226
227    def savefig(self, name):
228        self.figure.savefig(name)
229
230    def savecsv(self, name):
231        f = file(name, 'w')
232        data = array(self.inputdata)
233        dim = len(data.shape)
234
235        if dim == 1:
236            #if self.xlabel:
237            #    f.write(', '.join(list(self.xlabel)) + '\n')
238            f.write(', '.join([ '%f' % val for val in data]) + '\n')
239        if dim == 2:
240            #if self.xlabel:
241            #    f.write(', '.join([''] + list(self.xlabel)) + '\n')
242            for i,row in enumerate(data):
243                ylabel = []
244                #if self.ylabel:
245                #    ylabel = [ self.ylabel[i] ]
246                f.write(', '.join(ylabel + [ '%f' % val for val in row]) + '\n')
247        if dim == 3:
248            f.write("don't do 3D csv files\n")
249            pass
250
251        f.close()
252
253if __name__ == '__main__':
254    from random import randrange
255    import random, sys
256
257    dim = 3
258    number = 5
259
260    args = sys.argv[1:]
261    if len(args) > 3:
262        sys.exit("invalid number of arguments")
263    elif len(args) > 0:
264        myshape = [ int(x) for x in args ]
265    else:
266        myshape = [ 3, 4, 8 ]
267
268    # generate a data matrix of the given shape
269    size = reduce(lambda x,y: x*y, myshape)
270    #data = [ random.randrange(size - i) + 10 for i in xrange(size) ]
271    data = [ float(i)/100.0 for i in xrange(size) ]
272    data = reshape(data, myshape)
273
274    # setup some test bar charts
275    if True:
276        chart1 = BarChart()
277        chart1.data = data
278
279        chart1.xlabel = 'Benchmark'
280        chart1.ylabel = 'Bandwidth (GBps)'
281        chart1.legend = [ 'x%d' % x for x in xrange(myshape[-1]) ]
282        chart1.xticks = [ 'xtick%d' % x for x in xrange(myshape[0]) ]
283        chart1.title = 'this is the title'
284        if len(myshape) > 2:
285            chart1.xsubticks = [ '%d' % x for x in xrange(myshape[1]) ]
286        chart1.graph()
287        chart1.savefig('/tmp/test1.png')
288        chart1.savefig('/tmp/test1.ps')
289        chart1.savefig('/tmp/test1.eps')
290        chart1.savecsv('/tmp/test1.csv')
291
292    if False:
293        chart2 = BarChart()
294        chart2.data = data
295        chart2.colormap = 'gray'
296        chart2.graph()
297        chart2.savefig('/tmp/test2.png')
298        chart2.savefig('/tmp/test2.ps')
299
300#    pylab.show()
301