I have created a DataSet from a TESS tpf that contains DataCubes, ErrorCubes, and several time_indices. When I try to downsample, I get the following error:
ValueError Traceback (most recent call last)
Cell In[63], line 1
----> 1 tpf.data_cubes.downsample(100)
File ~/TESS_GI/secret/src/lkdata/dataset.py:565, in DataSet.downsample(self, nframes, level)
563 """Downsample all contained data and error products."""
564 downsample = self._batch_wrapper("downsample")
--> 565 return downsample(nframes, level)
File ~/TESS_GI/secret/src/lkdata/dataset.py:553, in DataSet._batch_wrapper.<locals>.new_func(*args, **kwargs)
551 for key, val in newdata.items():
552 obj_func = getattr(val, func)
--> 553 newdata[key] = obj_func(*args, **kwargs)
555 for key, val in newerror.items():
556 obj_func = getattr(val, func)
File ~/TESS_GI/secret/src/lkdata/mixins.py:222, in AggMixin.downsample(self, nframes, level)
220 # Find the average spacing of the index
221 dt = np.median(np.diff(index)) * nframes
--> 222 nbins = int(np.ceil((index.max() - index.min()) / dt) + 1)
223 # Calculate what bin edges result in this spacing
224 bins = np.arange(index.min(), index.min() + nbins * dt, dt)
ValueError: cannot convert float NaN to integerThere are a few nans in the time index that were present in the fits file; however, I think DataSet should be able to handle nans (possibly by removing them before the downsample).
I have created a DataSet from a TESS tpf that contains DataCubes, ErrorCubes, and several time_indices. When I try to downsample, I get the following error:
There are a few nans in the time index that were present in the fits file; however, I think DataSet should be able to handle nans (possibly by removing them before the downsample).