Open pietrovermicelli opened 2 years ago
please use the following versions: pandas == 0.25.3 numpy == 1.19.0 xarray == 0.12.1
Thank you, I was using differen versions. Although I've found that by enforcing the dtype to be 'object' for coord_type, I don't get that error anymore, and it doesn't seem to compromise the correct reading of the observations.
Thank you, I was using differen versions. Although I've found that by enforcing the dtype to be 'object' for coord_type, I don't get that error anymore, and it doesn't seem to compromise the correct reading of the observations.
Hello, I am relatively new to numpy, how are you enforcing the dtype to be object?
Hi, if you're getting the same error, I think I did something of the kind: try: coord_dtype = np.result_type(self.coord_dtype, other.coord_dtype) except: coord_dtype = np.dtype('object') #here I am enforcing the type 'object' in case the result_type fails more on numpy.dtype https://numpy.org/doc/stable/reference/generated/numpy.dtype.html
I ended up using python 3.8 and the above 3 packages. it did work for loading rinex files.
Traceback (most recent call last): File "/Users/pietrovermicelli/Desktop/firstpythonproject/RINEX.py", line 5, in
dat = gr.load("/Users/pietrovermicelli/SpacEarth Dropbox/SpacEarth Dropbox/calibrazione_TEC_pietrovermicelli/abpo0210.16o")
File "/Users/pietrovermicelli/.local/share/virtualenvs/firstpythonproject-q2IRJTKJ/lib/python3.10/site-packages/georinex/base.py", line 67, in load
return rinexobs(
File "/Users/pietrovermicelli/.local/share/virtualenvs/firstpythonproject-q2IRJTKJ/lib/python3.10/site-packages/georinex/base.py", line 217, in rinexobs
obs = rinexobs2(
File "/Users/pietrovermicelli/.local/share/virtualenvs/firstpythonproject-q2IRJTKJ/lib/python3.10/site-packages/georinex/obs2.py", line 54, in rinexobs2
obs = xarray.merge((obs, o))
File "/Users/pietrovermicelli/.local/share/virtualenvs/firstpythonproject-q2IRJTKJ/lib/python3.10/site-packages/xarray/core/merge.py", line 1023, in merge
merge_result = merge_core(
File "/Users/pietrovermicelli/.local/share/virtualenvs/firstpythonproject-q2IRJTKJ/lib/python3.10/site-packages/xarray/core/merge.py", line 752, in merge_core
aligned = deep_align(
File "/Users/pietrovermicelli/.local/share/virtualenvs/firstpythonproject-q2IRJTKJ/lib/python3.10/site-packages/xarray/core/alignment.py", line 827, in deep_align
aligned = align(
File "/Users/pietrovermicelli/.local/share/virtualenvs/firstpythonproject-q2IRJTKJ/lib/python3.10/site-packages/xarray/core/alignment.py", line 764, in align
aligner.align()
File "/Users/pietrovermicelli/.local/share/virtualenvs/firstpythonproject-q2IRJTKJ/lib/python3.10/site-packages/xarray/core/alignment.py", line 551, in align
self.align_indexes()
File "/Users/pietrovermicelli/.local/share/virtualenvs/firstpythonproject-q2IRJTKJ/lib/python3.10/site-packages/xarray/core/alignment.py", line 404, in align_indexes
joined_index = joiner(matching_indexes)
File "/Users/pietrovermicelli/.local/share/virtualenvs/firstpythonproject-q2IRJTKJ/lib/python3.10/site-packages/xarray/core/indexes.py", line 442, in join
coord_dtype = np.result_type(self.coord_dtype, other.coord_dtype)
File "<__array_function__ internals>", line 180, in result_type
TypeError: The DType <class 'numpy.dtype[float64]'> could not be promoted by <class 'numpy.dtype[datetime64]'>. This means that no common DType exists for the given inputs. For example they cannot be stored in a single array unless the dtype is
object
. The full list of DTypes is: (<class 'numpy.dtype[float64]'>, <class 'numpy.dtype[datetime64]'>)