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1 ############################################################################### 2 # # 3 # Copyright (C) 2013 Edward d'Auvergne # 4 # # 5 # This file is part of the program relax (http://www.nmr-relax.com). # 6 # # 7 # This program is free software: you can redistribute it and/or modify # 8 # it under the terms of the GNU General Public License as published by # 9 # the Free Software Foundation, either version 3 of the License, or # 10 # (at your option) any later version. # 11 # # 12 # This program is distributed in the hope that it will be useful, # 13 # but WITHOUT ANY WARRANTY; without even the implied warranty of # 14 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # 15 # GNU General Public License for more details. # 16 # # 17 # You should have received a copy of the GNU General Public License # 18 # along with this program. If not, see <http://www.gnu.org/licenses/>. # 19 # # 20 ############################################################################### 21 22 # Module docstring. 23 """Module for exponential curve-fitting.""" 24 25 # Python module imports. 26 from math import exp 27 2830 """Calculate the data for a standard two parameter decreasing exponential. 31 32 The y-values will be calculated based on the x-values. 33 34 35 @keyword rate: The exponential rate. 36 @type rate: float 37 @keyword i0: The initial intensity. 38 @type i0: float 39 @keyword x: The x-values at which to calculate the y-values. 40 @type x: numpy rank-1 float array 41 @keyword y: The data structure to store the y-values in. 42 @type y: numpy rank-1 float array 43 """ 44 45 # Loop over the x-values. 46 for i in range(len(x)): 47 y[i] = i0 * exp(-rate*x[i])48
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