add frappy.lib.interpolation
Change-Id: Ia1c50decc4485d9910f133a7a0de339e5d70389f
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# *****************************************************************************
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#
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# This program is free software; you can redistribute it and/or modify it under
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# the terms of the GNU General Public License as published by the Free Software
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# Foundation; either version 2 of the License, or (at your option) any later
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# version.
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#
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# This program 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 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 General Public License along with
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# this program; if not, write to the Free Software Foundation, Inc.,
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# 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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#
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# Module authors:
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# Markus Zolliker <markus.zolliker@psi.ch>
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#
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# *****************************************************************************
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"""interpolation, mainly used for pid tables"""
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import numpy as np
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class Interpolation(list):
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def __init__(self, table, logx=None, logy=None):
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"""initialize table
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:param table: sequence of tuple (x, y)
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:param logx, logy: True/False: whether to apply log for interpolation
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None: automatic (choose log when all values are positive)
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:return: interpolated y value
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"""
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table = np.array(sorted(table))
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super().__init__(table)
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if len(table) == 0:
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return
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logx = table[0][0] > 0 if logx is None else logx
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logy = min(table[:,1]) > 0 if logy is None else logy
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self.fwd = np.log if logx else np.array
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self.xvalues = self.fwd(table[:,0])
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self.rev = np.exp if logy else np.array
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self.yvalues = np.log(table[:,1]) if logy else table[:,1]
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def __call__(self, x):
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return self.rev(np.interp(self.fwd(x), self.xvalues, self.yvalues))
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