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Deletions are marked like this. | Additions are marked like this. |
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In [6]: e.ri2ap() | In [6]: e.is_ri() Out[6]: True |
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In [7]: e.get(2,0,0) Out[7]: 62.0 |
In [7]: e.ri2ap() |
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In [8]: e.get(3,0,0) Out[8]: 3.1415927410125732 |
In [8]: e.is_ri() Out[8]: False In [9]: e.get(2,0,0) Out[9]: 62.0 In [10]: e.get(3,0,0) Out[10]: 3.1415927410125732 |
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Note that it's relatively straightforward to access values from the EMData object (e) using the get function call. Also, you can convert back to to real/imaginary format by doing {{{ In [11]: e.ap2ri() In [12]: e.is_ri() Out[12]: True }}} |
Changing image format from real/imaginary to amplitude/phase format in EMAN2 is a straightforward procedure. To illustrate the process start with a test image and perform an inplace Fourier transform on it:
[someone@localhost]$ e2.py Welcome to EMAN2 Prompt provided by IPython Enter '?' for ipython help In [3]: e = EMData(32,32,32) In [4]: e.process_inplace("testimage.axes") In [5]: e.do_fft_inplace()
You now have an EMData object (e) in real/imaginary format. To convert the image to amplitude/phase format simply do the following
In [6]: e.is_ri() Out[6]: True In [7]: e.ri2ap() In [8]: e.is_ri() Out[8]: False In [9]: e.get(2,0,0) Out[9]: 62.0 In [10]: e.get(3,0,0) Out[10]: 3.1415927410125732
Note that it's relatively straightforward to access values from the EMData object (e) using the get function call. Also, you can convert back to to real/imaginary format by doing
In [11]: e.ap2ri() In [12]: e.is_ri() Out[12]: True