AttributeError Traceback (most recent call last)
Cell In[26], line 6
4 source = run.get_source(source_id)
5 source.plot_lightcurve()
----> 6 source.show_all_png_cutouts(figsize=(20,10))
7 print(f"[https://dev.pipeline.vast-survey.org/sources/{source_id}/](https://dev.pipeline.vast-survey.org/sources/%7Bsource_id%7D/)")
File /home/jovyan/vast-tools/vasttools/source.py:1393, in Source.show_all_png_cutouts(self, columns, percentile, zscale, contrast, outfile, save, size, figsize, force, no_selavy, disable_autoscaling, hide_epoch_labels, plot_dpi, offset_axes)
1357 """
1358 Creates a grid plot showing the source in each epoch.
1359
(...)
1389 None is save is `True` or the Figure if `False`.
1390 """
1392 if (self._cutouts_got is False) or (force):
-> 1393 self.get_cutout_data(size)
1395 num_plots = self.measurements.shape[0]
1396 nrows = int(np.ceil(num_plots / columns))
File /home/jovyan/vast-tools/vasttools/source.py:668, in Source.get_cutout_data(self, size)
665 else:
666 args = (size,)
--> 668 self.cutout_df = self.measurements.apply(
669 self._get_cutout,
670 args=args,
671 axis=1,
672 result_type='expand'
673 ).rename(columns={
674 0: "data",
675 1: "wcs",
676 2: "header",
677 3: "selavy_overlay",
678 4: "beam"
679 })
680 self._cutouts_got = True
File /opt/conda/lib/python3.8/site-packages/pandas/core/frame.py:8845, in DataFrame.apply(self, func, axis, raw, result_type, args, **kwargs)
8834 from pandas.core.apply import frame_apply
8836 op = frame_apply(
8837 self,
8838 func=func,
(...)
8843 kwargs=kwargs,
8844 )
-> 8845 return op.apply().__finalize__(self, method="apply")
File /opt/conda/lib/python3.8/site-packages/pandas/core/apply.py:733, in FrameApply.apply(self)
730 elif self.raw:
731 return self.apply_raw()
--> 733 return self.apply_standard()
File /opt/conda/lib/python3.8/site-packages/pandas/core/apply.py:857, in FrameApply.apply_standard(self)
856 def apply_standard(self):
--> 857 results, res_index = self.apply_series_generator()
859 # wrap results
860 return self.wrap_results(results, res_index)
File /opt/conda/lib/python3.8/site-packages/pandas/core/apply.py:873, in FrameApply.apply_series_generator(self)
870 with option_context("mode.chained_assignment", None):
871 for i, v in enumerate(series_gen):
872 # ignore SettingWithCopy here in case the user mutates
--> 873 results[i] = self.f(v)
874 if isinstance(results[i], ABCSeries):
875 # If we have a view on v, we need to make a copy because
876 # series_generator will swap out the underlying data
877 results[i] = results[i].copy(deep=False)
File /home/jovyan/vast-tools/vasttools/source.py:775, in Source._get_cutout(self, row, size)
769 if self.pipeline:
770 image = Image(
771 row.field, row.epoch, self.stokes, self.base_folder,
772 path=row.image, rmspath=row.rms,
773 corrected_data=self.corrected_data
774 )
--> 775 image.get_img_data()
776 else:
777 e = row.epoch
File /home/jovyan/vast-tools/vasttools/survey.py:437, in Image.get_img_data(self)
435 self.header = hdul[0].header
436 self.wcs = WCS(self.header, naxis=2)
--> 437 self.data = hdul[0].data.squeeze()
439 try:
440 self.beam = Beam.from_fits_header(self.header)
AttributeError: 'NoneType' object has no attribute 'squeeze'
pointed out by @mayavandervegt.
Issue likely arises from the post-processed HDUs placing the data in the 1th element rather than zeroth. This should have been addressed already (#480) but it looks like open_fits looks specifically for .fits.fz files, which is a different naming format to what we've now decided on.
pointed out by @mayavandervegt.
Issue likely arises from the post-processed HDUs placing the data in the 1th element rather than zeroth. This should have been addressed already (#480) but it looks like
open_fitslooks specifically for.fits.fzfiles, which is a different naming format to what we've now decided on.