Ran update-copyright.py
[hooke.git] / hooke / plugin / showconvoluted.py
index a2de586fe89251d097d026cc6874f2482af1e7b8..c9ab2cc4e871a24d344b5440933b98c71cb91433 100644 (file)
@@ -1,61 +1,73 @@
-#!/usr/bin/env python\r
-\r
-'''\r
-SHOW CONVOLUTED CURVE PLUGIN FOR HOOKE\r
-\r
-This plugin contains a plotmanipulator to show the convoluted curve.\r
-(c) Dr. Rolf Schmidt, 2009\r
-'''\r
-\r
-import libpeakspot\r
-\r
-class showconvolutedCommands:\r
-\r
-    #def _plug_init(self):\r
-        #pass\r
-\r
-    def plotmanip_showconvoluted(self, plot, curve):\r
-        '''\r
-        BEGIN: taken from procplots.py\r
-        might need some tweaking\r
-        '''\r
-        #use only for force spectroscopy experiments!\r
-        if curve.driver.experiment != 'smfs':\r
-            return plot\r
-\r
-        '''\r
-        END: taken from procplots.py\r
-        '''\r
-\r
-        #need to convert the string that contains the list into a list\r
-        #convolution = eval(self.config['convfilt']['convolution']['value'])\r
-        convolution = eval(self.GetStringFromConfig('flatfilts', 'convfilt', 'convolution'))\r
-\r
-        xRet = plot.vectors[1][0]\r
-        yRet = plot.vectors[1][1]\r
-        convoluted = libpeakspot.conv_dx(yRet, convolution)\r
-        #convoluted=libpeakspot.conv_dx(yRet, [-20, -10, -6, 0, 12, 12, 12])\r
-        plot.add_set(xRet, convoluted)\r
-        #plot.vectors[1][1]=[i for i in convoluted]\r
-        #set contact point plot style to 'plot'\r
-        #and the color to red\r
-        plot.styles.append('plot')\r
-        plot.colors.append('black')\r
-        #peak_location, peak_size = self.has_peaks(plot, blindwindow, convolution, minpeaks)\r
-        peak_locations, peak_sizes = self.has_peaks(plot, curve)\r
-\r
-        if peak_locations:\r
-            peak_locations_x = []\r
-            peak_locations_y = []\r
-            for location in peak_locations:\r
-                peak_locations_x.append(xRet[location])\r
-                peak_locations_y.append(yRet[location])\r
-            plot.add_set(peak_locations_x, peak_locations_y)\r
-            plot.styles.append('scatter')\r
-            plot.colors.append('green')\r
-            plot.add_set(peak_locations_x, peak_sizes)\r
-            plot.styles.append('scatter')\r
-            plot.colors.append('magenta')\r
-\r
-        #Return the plot object.\r
-        return plot\r
+# Copyright (C) 2009-2012 Rolf Schmidt <rschmidt@alcor.concordia.ca>
+#                         W. Trevor King <wking@tremily.us>
+#
+# This file is part of Hooke.
+#
+# Hooke is free software: you can redistribute it and/or modify it under the
+# terms of the GNU Lesser General Public License as published by the Free
+# Software Foundation, either version 3 of the License, or (at your option) any
+# later version.
+#
+# Hooke 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 Lesser General Public License for more
+# details.
+#
+# You should have received a copy of the GNU Lesser General Public License
+# along with Hooke.  If not, see <http://www.gnu.org/licenses/>.
+
+"""This plugin contains a plotmanipulator to show the convoluted curve.
+"""
+
+import libpeakspot
+
+class showconvolutedCommands:
+
+    #def _plug_init(self):
+        #pass
+
+    def plotmanip_showconvoluted(self, plot, curve):
+        '''
+        BEGIN: taken from procplots.py
+        might need some tweaking
+        '''
+        #use only for force spectroscopy experiments!
+        if curve.driver.experiment != 'smfs':
+            return plot
+
+        '''
+        END: taken from procplots.py
+        '''
+
+        #need to convert the string that contains the list into a list
+        #convolution = eval(self.config['convfilt']['convolution']['value'])
+        convolution = eval(self.GetStringFromConfig('flatfilts', 'convfilt', 'convolution'))
+
+        xRet = plot.vectors[1][0]
+        yRet = plot.vectors[1][1]
+        convoluted = libpeakspot.conv_dx(yRet, convolution)
+        #convoluted=libpeakspot.conv_dx(yRet, [-20, -10, -6, 0, 12, 12, 12])
+        plot.add_set(xRet, convoluted)
+        #plot.vectors[1][1]=[i for i in convoluted]
+        #set contact point plot style to 'plot'
+        #and the color to red
+        plot.styles.append('plot')
+        plot.colors.append('black')
+        #peak_location, peak_size = self.has_peaks(plot, blindwindow, convolution, minpeaks)
+        peak_locations, peak_sizes = self.has_peaks(plot, curve)
+
+        if peak_locations:
+            peak_locations_x = []
+            peak_locations_y = []
+            for location in peak_locations:
+                peak_locations_x.append(xRet[location])
+                peak_locations_y.append(yRet[location])
+            plot.add_set(peak_locations_x, peak_locations_y)
+            plot.styles.append('scatter')
+            plot.colors.append('green')
+            plot.add_set(peak_locations_x, peak_sizes)
+            plot.styles.append('scatter')
+            plot.colors.append('magenta')
+
+        #Return the plot object.
+        return plot