[yt-users] Problem dealing with FITS data in yt
Nathan Goldbaum
nathan12343 at gmail.com
Thu Sep 7 12:37:26 PDT 2017
I've opened an issue, let's move discussion over there:
https://github.com/yt-project/yt/issues/1552
Tazkera, you can subscribe to notifications on the issue by clicking the
subscribe button.
On Thu, Sep 7, 2017 at 2:35 PM, John Zuhone <jzuhone at gmail.com> wrote:
> Hi Tazkera,
>
> Thanks for uploading your file—it will make it far simpler to debug. I’ll
> have a look at this and get back to you.
>
> Best,
>
> John
>
> On Sep 7, 2017, at 3:24 PM, tazkera haque <h.tazkera at gmail.com> wrote:
>
> HI People,
>
> I am sorry to ask you a very novice question, but I am new to deal with
> FITS data and I wanted to load it into yt to do some processing. I uploaded
> my file here.
>
> First of all, I am trying to load my first FITS data in yt and it returns
> me an error which I don't understand:
>
> *import yt*
>
>
>
> *ds = yt.load("signal_wfilt_sn.fits")ds.print_stats()*
>
>
> *the error:*
>
> yt : [WARNING ] 2017-09-07 15:12:42,963 Cannot find time
> yt : [INFO ] 2017-09-07 15:12:42,965 Detected these axes: RA---TAN DEC--TAN
> yt : [WARNING ] 2017-09-07 15:12:42,979 No length conversion provided. Assuming 1 = 1 cm.
> yt : [INFO ] 2017-09-07 15:12:42,996 Parameters: current_time = 0.0
> yt : [INFO ] 2017-09-07 15:12:42,997 Parameters: domain_dimensions = [1629 1629 1]
> yt : [INFO ] 2017-09-07 15:12:43,001 Parameters: domain_left_edge = [ 0.5 0.5 0.5]
> yt : [INFO ] 2017-09-07 15:12:43,004 Parameters: domain_right_edge = [ 1.62950000e+03 1.62950000e+03 1.50000000e+00]
> yt : [INFO ] 2017-09-07 15:12:43,006 Parameters: cosmological_simulation = 0.0
>
> ---------------------------------------------------------------------------IndexError Traceback (most recent call last)<ipython-input-38-71d5999c6b09> in <module>() 1 import yt 2 ds2 = yt.load("/home/trina/Documents/ASTRO_732/A-01/signal_wfilt_sn.fits")----> 3 ds2.print_stats()
> /home/trina/anaconda2/lib/python2.7/site-packages/yt/utilities/parallel_tools/parallel_analysis_interface.pyc in root_only(*args, **kwargs) 318 def root_only(*args, **kwargs): 319 if not parallel_capable:--> 320 return func(*args, **kwargs) 321 comm = _get_comm(args) 322 rv = None
> /home/trina/anaconda2/lib/python2.7/site-packages/yt/data_objects/static_output.pyc in print_stats(self) 455 @parallel_root_only 456 def print_stats(self):--> 457 self.index.print_stats() 458 459 @property
> /home/trina/anaconda2/lib/python2.7/site-packages/yt/data_objects/static_output.pyc in index(self) 417 raise RuntimeError("You should not instantiate Dataset.") 418 self._instantiated_index = self._index_class(--> 419 self, dataset_type=self.dataset_type) 420 # Now we do things that we need an instantiated index for 421 # ...first off, we create our field_info now.
> /home/trina/anaconda2/lib/python2.7/site-packages/yt/frontends/fits/data_structures.pyc in __init__(self, ds, dataset_type) 90 self._handle = ds._handle 91 self.float_type = np.float64---> 92 GridIndex.__init__(self,ds,dataset_type) 93 94 def _initialize_data_storage(self):
> /home/trina/anaconda2/lib/python2.7/site-packages/yt/geometry/geometry_handler.pyc in __init__(self, ds, dataset_type) 56 # potentially quite expensive, and should be done with the indexing. 57 mylog.debug("Detecting fields.")---> 58 self._detect_output_fields() 59 60 def _initialize_state_variables(self):
> /home/trina/anaconda2/lib/python2.7/site-packages/yt/frontends/fits/data_structures.pyc in _detect_output_fields(self) 171 continue 172 if self._ensure_same_dims(hdu):--> 173 units = self._determine_image_units(hdu.header, known_units) 174 try: 175 # Grab field name from btype
> /home/trina/anaconda2/lib/python2.7/site-packages/yt/frontends/fits/data_structures.pyc in _determine_image_units(self, header, known_units) 116 n += 1 117 if n != len(units): field_units = "dimensionless"--> 118 if field_units[0] == "/": 119 field_units = "1%s" % field_units 120 return field_units
> IndexError: string index out of range
>
> Can you Please suggest me how to load and work on this data?
>
> My goal is to create an image from the signal to noise data in the data file 'signal_wfilt_sn.fits' using only data
> within 20 arcminutes of the center of the image. the pixel size is 3x3 arc second
>
> I had an initial code in mind which will create a sphere with a radius of 20 arcminute:
>
>
>
>
>
>
> *import ytds = yt.load("signal_wfilt_sn.fits")ds.print_stats()sp = ds.sphere(ds.domain_center, (400, 'code_length'))*
>
> However, I first need to be able to load and explore the data. Your help and suggestion is greatly appreciated.
>
> Thanks a lot
>
>
> Tazkera
>
>
>
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>
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