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--- ufit:help:tips [2017/10/23 10:00] – created pcermak
+++ ufit:help:tips [2017/10/24 07:28] (current) – [Fit curve from the file] pcermak
@@ Line 1: / Line 1: @@
 ====== GUI Tips & Tricks ======
-{{ :ufit:bulb.svg?nolink&180}}
+{{ :ufit:tips.svg?nolink&180}}
-  * Use of complex fitting functions
+===== Change of all scan names =====
-  * Select between several backends
-    * lmfit - uses the [[http://cars9.uchicago.edu/software/python/lmfit/|lmfit]] package written by Matthew Newville.
+Open iPython console and write commands.
-    * minuit - uses the [[http://pythonhosted.org/ufit/pyminuit|MINUIT]] package from CERN.
-    * scipy.optimize - uses the scipy.optimize.leastsq function without any further wrapping
+To see temperature in legend of charts:
-  * Easy plotting by matplotlib
-    * 1D plots of scans, automatic determination of axes
+    for aa in D:
-    * 2D color maps of several datasets
+         if hasattr(aa, 'data'):
-  * Fast merging and binning of the data
+             aa.data.oldname=aa.data.name
-  * Fast extraction of fitted values + creation of datasets from fitted values
+             aa.data.name=aa.data.environment[0]
-  * Automatic determination of file format
-  * Fit more datasets together (not implemented in GUI)
+To put some parameter to all scan titles (in this example it is parameter gamma):
+    for aa in D:
+         if hasattr(aa, 'data'):
+             aa.data.oldtitle=aa.data.meta.title
+             aa.data.meta.title += ', stt=%0.2f' % aa.data.meta.gamma
+===== Fit curve from the file =====
+It is possible to have a spectrum/background stored as a xy points in ASCII datafile. This command will load that file, interpolate between the loaded values and then fit the scale of such model. Just add this line to the **Model definition**:
+     Custom('MyBg', 'scale', "(lambda data: scipy.interpolate.interp1d(data[0], data[1], kind='cubic')(x) * scale)(numpy.loadtxt('C:\bg.txt').T)")
+Replace **C:\bg.txt** with path to your ASCII file. **MyBg** can be also changed - this is just name of your model.

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