126 lines
3.9 KiB
Python
126 lines
3.9 KiB
Python
# -*- coding: utf-8 -*-
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# This file is part of pygal
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#
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# A python svg graph plotting library
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# Copyright © 2012-2016 Kozea
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#
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# This library is free software: you can redistribute it and/or modify it under
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# the terms of the GNU Lesser General Public License as published by the Free
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# Software Foundation, either version 3 of the License, or (at your option) any
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# later version.
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#
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# This library is distributed in the hope that it will be useful, but WITHOUT
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# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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# FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
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# details.
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#
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# You should have received a copy of the GNU Lesser General Public License
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# along with pygal. If not, see <http://www.gnu.org/licenses/>.
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"""
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XY Line graph: Plot a set of couple data points (x, y) connected by
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straight segments.
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"""
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from __future__ import division
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from functools import reduce
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from pygal.graph.dual import Dual
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from pygal.graph.line import Line
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from pygal.util import cached_property, compose, ident
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class XY(Line, Dual):
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"""XY Line graph class"""
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_x_adapters = []
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@cached_property
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def xvals(self):
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"""All x values"""
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return [val[0]
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for serie in self.all_series
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for val in serie.values
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if val[0] is not None]
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@cached_property
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def yvals(self):
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"""All y values"""
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return [val[1]
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for serie in self.series
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for val in serie.values
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if val[1] is not None]
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@cached_property
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def _min(self):
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"""Getter for the minimum series value"""
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return (self.range[0] if (self.range and self.range[0] is not None)
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else (min(self.yvals) if self.yvals else None))
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@cached_property
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def _max(self):
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"""Getter for the maximum series value"""
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return (self.range[1] if (self.range and self.range[1] is not None)
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else (max(self.yvals) if self.yvals else None))
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def _compute(self):
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"""Compute x/y min and max and x/y scale and set labels"""
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if self.xvals:
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if self.xrange:
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x_adapter = reduce(
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compose, self._x_adapters) if getattr(
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self, '_x_adapters', None) else ident
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xmin = x_adapter(self.xrange[0])
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xmax = x_adapter(self.xrange[1])
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else:
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xmin = min(self.xvals)
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xmax = max(self.xvals)
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xrng = (xmax - xmin)
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else:
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xrng = None
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if self.yvals:
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ymin = self._min
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ymax = self._max
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if self.include_x_axis:
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ymin = min(ymin or 0, 0)
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ymax = max(ymax or 0, 0)
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yrng = (ymax - ymin)
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else:
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yrng = None
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for serie in self.all_series:
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serie.points = serie.values
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if self.interpolate:
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vals = list(zip(*sorted(
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filter(lambda t: None not in t,
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serie.points), key=lambda x: x[0])))
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serie.interpolated = self._interpolate(vals[0], vals[1])
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if self.interpolate:
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self.xvals = [val[0]
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for serie in self.all_series
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for val in serie.interpolated]
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self.yvals = [val[1]
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for serie in self.series
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for val in serie.interpolated]
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if self.xvals:
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xmin = min(self.xvals)
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xmax = max(self.xvals)
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xrng = (xmax - xmin)
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else:
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xrng = None
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# these values can also be 0 (zero), so testing explicitly for None
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if xrng is not None:
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self._box.xmin, self._box.xmax = xmin, xmax
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if yrng is not None:
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self._box.ymin, self._box.ymax = ymin, ymax
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