nanograv / la_forge Goto Github PK

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TypeError                                 Traceback (most recent call last)
<ipython-input-23-07c838164516> in <module>
      1 pnm = 'tester'
----> 2 cH.save(f'./sw_noise_cores/{pnm}.h5')

~/software_development/la_forge/la_forge/core.py in save(self, filepath)
    444                 if getattr(self, d) is not None:
    445                     print(d)
--> 446                     self._dict2hdf5(hf, getattr(self, d), d)
    447 
    448     def _dict2hdf5(self, hdf5, d, name):

~/software_development/la_forge/la_forge/core.py in _dict2hdf5(self, hdf5, d, name)
    464         g = hdf5.create_group(name)
    465         for ky, val in d.items():
--> 466             g.create_dataset(ky, data=val)
    467 
    468     def _hdf5_2dict(self, hdf5, name, dtype=float, set_return='set'):

~/anaconda3/envs/enterprise_dev/lib/python3.6/site-packages/h5py/_hl/group.py in create_dataset(self, name, shape, dtype, data, **kwds)
    134 
    135         with phil:
--> 136             dsid = dataset.make_new_dset(self, shape, dtype, data, **kwds)
    137             dset = dataset.Dataset(dsid)
    138             if name is not None:

~/anaconda3/envs/enterprise_dev/lib/python3.6/site-packages/h5py/_hl/dataset.py in make_new_dset(parent, shape, dtype, data, chunks, compression, shuffle, fletcher32, maxshape, compression_opts, fillvalue, scaleoffset, track_times, external, track_order, dcpl)
    116         else:
    117             dtype = numpy.dtype(dtype)
--> 118         tid = h5t.py_create(dtype, logical=1)
    119 
    120     # Legacy

h5py/h5t.pyx in h5py.h5t.py_create()

h5py/h5t.pyx in h5py.h5t.py_create()

h5py/h5t.pyx in h5py.h5t.py_create()

TypeError: No conversion path for dtype: dtype('<U35')