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| Started by | Lourens-Jan Ugen <lourensjan.ugen@gmail.com> |
|---|---|
| First post | 2013-05-31 02:41 -0700 |
| Last post | 2013-05-31 02:54 -0700 |
| Articles | 2 — 2 participants |
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Finding Relative Maxima in Python3 Lourens-Jan Ugen <lourensjan.ugen@gmail.com> - 2013-05-31 02:41 -0700
Re: Finding Relative Maxima in Python3 Chris Rebert <clp2@rebertia.com> - 2013-05-31 02:54 -0700
| From | Lourens-Jan Ugen <lourensjan.ugen@gmail.com> |
|---|---|
| Date | 2013-05-31 02:41 -0700 |
| Subject | Finding Relative Maxima in Python3 |
| Message-ID | <6acf9ce5-eed1-4115-aa93-71d2e182db79@googlegroups.com> |
Hi all,
The last few days I've been working on a script to manipulate some scientific data. One thing I would like to be able to do is find relative maxima in a data set.
I'm using numpy in python3 (which I think I can't do without because of utf16 encoding of my data source) and a series of np.arrays. When looking around the web and some forums I came across the scipy function argrelextrema, which seemed to do just what I wanted. The problem is that I can't get the function to work, probably because scipy in python3 does not yet support the argrelextrema function. I can however, not find a reference to this really being the problem, and was wondering if someone here could maybe help me out.
The code I used is shown below. The function to return the maximum values is called by a different script. Then, when running, it returns an error like the one below the code.
Script:
import numpy as np
import scipy as sp
def max_in_array_range(MaxArray, Column, LowBound):
'''
Finding the max value an array with a predefined in a certain column and from a threshold index.
The complete array is loaded through Max Array. The column is first selected.
The, the LowBound is called (the data is only interesting from a certain point onward.
'''
TempArray = MaxArray[:, Column] # Creation of Temporary Array to ensure 1D Array and specification of the LowBound in the next line.
return sp.argrelextrema(TempArray[LowBound:], np.greater)
Error message:
Traceback (most recent call last):
File "MyScript.py", line 15, in <module>
Varrr = FD.max_in_array_range(CalcAndDiffArray, 5 ,MyBound)
File "/MyPath/Script.py", line 82, in max_in_array_range
return sp.argrelmax(TempArray[LowBound:], np.greater)
AttributeError: 'module' object has no attribute 'argrelmax'
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| From | Chris Rebert <clp2@rebertia.com> |
|---|---|
| Date | 2013-05-31 02:54 -0700 |
| Message-ID | <mailman.2481.1369994087.3114.python-list@python.org> |
| In reply to | #46587 |
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On May 31, 2013 2:46 AM, "Lourens-Jan Ugen" <lourensjan.ugen@gmail.com> wrote: > > Hi all, > > The last few days I've been working on a script to manipulate some scientific data. One thing I would like to be able to do is find relative maxima in a data set. > I'm using numpy in python3 (which I think I can't do without because of utf16 encoding of my data source) and a series of np.arrays. When looking around the web and some forums I came across the scipy function argrelextrema, which seemed to do just what I wanted. The problem is that I can't get the function to work, probably because scipy in python3 does not yet support the argrelextrema function. I can however, not find a reference to this really being the problem, and was wondering if someone here could maybe help me out. > The code I used is shown below. The function to return the maximum values is called by a different script. Then, when running, it returns an error like the one below the code. > > Script: > import numpy as np > import scipy as sp <snip> > Error message: > Traceback (most recent call last): > File "MyScript.py", line 15, in <module> > Varrr = FD.max_in_array_range(CalcAndDiffArray, 5 ,MyBound) > File "/MyPath/Script.py", line 82, in max_in_array_range > return sp.argrelmax(TempArray[LowBound:], np.greater) > AttributeError: 'module' object has no attribute 'argrelmax' The docs would seem to indicate that that function resides in the "signal" submodule of scipy: http://docs.scipy.org/doc/scipy-dev/reference/generated/scipy.signal.argrelmax.html#scipy.signal.argrelmax Hence, it would be sp.signal.argrelmax() as opposed to just sp.argrelmax() Cheers, Chris
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