Really nice script for generating personal genre preferences stats from LastFM
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# Copyright(c) 2009 by Yaco S.L. <lgs@yaco.es>
#
# This file is part of PyCha.
#
# PyCha is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# PyCha 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 Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with PyCha. If not, see <http://www.gnu.org/licenses/>.
from pycha.bar import BarChart, VerticalBarChart, HorizontalBarChart, Rect
from pycha.chart import uniqueIndices
class StackedBarChart(BarChart):
def __init__(self, surface=None, options={}, debug=False):
super(StackedBarChart, self).__init__(surface, options, debug)
self.barWidth = 0.0
def _updateXY(self):
super(StackedBarChart, self)._updateXY()
# each dataset is centered around a line segment. that's why we
# need n + 1 divisions on the x axis
self.xscale = 1 / (self.xrange + 1.0)
if self.options.axis.y.range is None:
# Fix the yscale as we accumulate the y values
stores = self._getDatasetsValues()
n_stores = len(stores)
flat_y = [pair[1] for pair in reduce(lambda a, b: a+b, stores)]
store_size = len(flat_y) / n_stores
accum = [sum(flat_y[j]for j in xrange(i,
i + store_size * n_stores,
store_size))
for i in range(len(flat_y) / n_stores)]
self.yrange = float(max(accum))
if self.yrange == 0:
self.yscale = 1.0
else:
self.yscale = 1.0 / self.yrange
def _updateChart(self):
"""Evaluates measures for vertical bars"""
stores = self._getDatasetsValues()
uniqx = uniqueIndices(stores)
if len(uniqx) == 1:
self.minxdelta = 1.0
else:
self.minxdelta = min([abs(uniqx[j] - uniqx[j-1])
for j in range(1, len(uniqx))])
k = self.minxdelta * self.xscale
self.barWidth = k * self.options.barWidthFillFraction
self.barMargin = k * (1.0 - self.options.barWidthFillFraction) / 2
self.bars = []
class StackedVerticalBarChart(StackedBarChart, VerticalBarChart):
def _updateChart(self):
"""Evaluates measures for vertical bars"""
super(StackedVerticalBarChart, self)._updateChart()
accumulated_heights = {}
for i, (name, store) in enumerate(self.datasets):
for item in store:
xval, yval = item
x = ((xval - self.minxval) * self.xscale) + self.barMargin
w = self.barWidth
h = abs(yval) * self.yscale
if yval > 0:
y = (1.0 - h) - self.origin
else:
y = 1 - self.origin
accumulated_height = accumulated_heights.setdefault(xval, 0)
y -= accumulated_height
accumulated_heights[xval] += h
rect = Rect(x, y, w, h, xval, yval, name)
if (0.0 <= rect.x <= 1.0) and (0.0 <= rect.y <= 1.0):
self.bars.append(rect)
class StackedHorizontalBarChart(StackedBarChart, HorizontalBarChart):
def _updateChart(self):
"""Evaluates measures for horizontal bars"""
super(StackedHorizontalBarChart, self)._updateChart()
accumulated_widths = {}
for i, (name, store) in enumerate(self.datasets):
for item in store:
xval, yval = item
y = ((xval - self.minxval) * self.xscale) + self.barMargin
h = self.barWidth
w = abs(yval) * self.yscale
if yval > 0:
x = self.origin
else:
x = self.origin - w
accumulated_width = accumulated_widths.setdefault(xval, 0)
x += accumulated_width
accumulated_widths[xval] += w
rect = Rect(x, y, w, h, xval, yval, name)
if (0.0 <= rect.x <= 1.0) and (0.0 <= rect.y <= 1.0):
self.bars.append(rect)