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# Copyright (C) 2009, Martin Dengler <martin@martindengler.com>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program 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.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
import gobject
from sugar import profile
from sugar.graphics.style import Color
from sugar.graphics.xocolor import XoColor
grey = (0.6, 0.6, 0.6, 1.0)
def _mean(data, previous_mean=None):
return sum(data) / float(len(data))
def _central_moment(moment, mean, data, previous_moment=None):
n = float(len(data))
return pow((1 / n) * sum([pow((d - mean), moment) for d in data]), 1/moment)
class DataSeries(gobject.GObject):
"""encapsulates changable numeric data and their moments"""
__gsignals__ = {
'data-changed': (gobject.SIGNAL_RUN_FIRST, gobject.TYPE_NONE, ([])),
}
def __init__(self, series_name=None, series_color=None):
gobject.GObject.__init__(self)
self.series_name = series_name \
if series_name is not None else profile.get_nick_name()
self.data_length = 40
self.shrink_by = 1
self.data_moments = (0, 1, 2, 3)
self.data = []
self.moments = [[] for m in self.data_moments]
self.set_color(series_color if series_color is not None else XoColor())
def set_color(self, xo_color):
self.colors = (Color(xo_color.stroke).get_rgba(),
Color(xo_color.fill).get_rgba(),
grey)
def record_new_value(self, new_value):
"""record a new value for a nick_name (default: for self.nick_name)"""
self.data.append(new_value)
if len(self.data) > self.data_length:
del self.data[:self.shrink_by]
for moment in self.data_moments[1:]:
means = self.moments[1]
moments = self.moments[moment]
if moment == 1:
moments.append(_mean(self.data))
else:
moments.append(_central_moment(moment, means[-1], self.data))
if len(moments) > self.data_length:
del moments[:self.shrink_by]
self.emit('data-changed')
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