mirror of https://github.com/Kozea/pygal.git
Florian Mounier
13 years ago
13 changed files with 318 additions and 124 deletions
@ -1,7 +1,12 @@
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{% extends '_layout.jinja2' %} |
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{% block section %} |
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<a href="{{ url_for('all') }}">All types</a> |
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<dl> |
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<dt>All types</dt> |
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{% for style in styles %} |
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<dd><a href="{{ url_for('all', style=style) }}">{{ style }}</a></dd> |
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{% endfor %} |
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</dl> |
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<a href="{{ url_for('interpolation') }}">Interpolation</a> |
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<a href="{{ url_for('rotation') }}">Rotations test</a> |
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<a href="{{ url_for('big_line') }}">Big line</a> |
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{% endblock section %} |
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@ -0,0 +1,45 @@
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# -*- 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 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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from pygal.util import ident |
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try: |
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import scipy |
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from scipy import interpolate |
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except: |
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scipy = None |
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def interpolation(x, y, kind): |
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assert scipy != None, 'You must have scipy installed to use interpolation' |
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order = None |
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if len(x) < 2: |
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return ident |
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if isinstance(kind, int): |
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order = kind |
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elif kind in ['zero', 'slinear', 'quadratic', 'cubic']: |
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order = {'nearest': 0, 'zero': 0, 'slinear': 1, |
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'quadratic': 2, 'cubic': 3}[kind] |
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if order and len(x) <= order: |
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kind = len(x) - 1 |
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if kind == 'krogh': |
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return interpolate.KroghInterpolator(x, y) |
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elif kind == 'barycentric': |
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return interpolate.BarycentricInterpolator(x, y) |
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elif kind == 'univariate': |
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return interpolate.InterpolatedUnivariateSpline(x, y) |
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return interpolate.interp1d(x, y, kind=kind) |
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