"TypeError: from_array() got an unexpected keyword argument 'meta'" for SPI calculation
Opened this issue · 6 comments
Hi! I have been trying to calculate the SPI following the ARSET training, but I am getting an issue right at the end while calculating the SPI. I am using anaconda 3.7 because I couldn't install the NCO package with anaconda 3.8. I ran the command with GitBash as well as with Anaconda prompt, but I received the same error mentioned below. Can someone please help me with this? I would be grateful to you.
The command line I entered and the error I received are as follow.
(indices_env) D:\climate_indices\src\climate_indices>process_climate_indices --index spi --periodicity monthly --netcdf_precip ./data/IMERG_concat_ncpdq.nc4 --var_name_precip precipitation --output_file_base ./data/IMERG --scales 3 --calibration_start_year 2000 --calibration_end_year 2019 --multiprocessing all
c:\users\dell\anaconda3\lib\site-packages\dask\config.py:168: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
data = yaml.load(f.read()) or {}
c:\users\dell\anaconda3\lib\site-packages\distributed\config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
defaults = yaml.load(f)
2021-06-23 08:16:39 INFO Start time: 2021-06-23 08:16:39.699631
2021-06-23 08:16:39 INFO Computing 3-month SPI/Pearson
2021-06-23 08:16:39 ERROR Failed to complete
Traceback (most recent call last):
File "c:\users\dell\anaconda3\lib\site-packages\climate_indices_main_.py", line 1684, in main
compute_write_index(kwrgs)
File "c:\users\dell\anaconda3\lib\site-packages\climate_indices_main.py", line 722, in compute_write_index
dataset = xr.open_mfdataset(files, chunks=chunks)
File "c:\users\dell\anaconda3\lib\site-packages\xarray\backends\api.py", line 912, in open_mfdataset
datasets = [open(p, **open_kwargs) for p in paths]
File "c:\users\dell\anaconda3\lib\site-packages\xarray\backends\api.py", line 912, in
datasets = [open_(p, **open_kwargs) for p in paths]
File "c:\users\dell\anaconda3\lib\site-packages\xarray\backends\api.py", line 511, in open_dataset
**kwargs,
File "c:\users\dell\anaconda3\lib\site-packages\xarray\backends\api.py", line 324, in _dataset_from_backend_dataset
**extra_tokens,
File "c:\users\dell\anaconda3\lib\site-packages\xarray\backends\api.py", line 295, in _chunk_ds
token=token,
File "c:\users\dell\anaconda3\lib\site-packages\xarray\core\dataset.py", line 433, in maybe_chunk
var = var.chunk(chunks, name=name2, lock=lock)
File "c:\users\dell\anaconda3\lib\site-packages\xarray\core\variable.py", line 1068, in chunk
data = da.from_array(data, chunks, name=name, lock=lock, **kwargs)
TypeError: from_array() got an unexpected keyword argument 'meta'
Traceback (most recent call last):
File "c:\users\dell\anaconda3\lib\runpy.py", line 193, in run_module_as_main
"main", mod_spec)
File "c:\users\dell\anaconda3\lib\runpy.py", line 85, in run_code
exec(code, run_globals)
File "C:\Users\Dell\Anaconda3\Scripts\process_climate_indices.exe_main.py", line 9, in
File "c:\users\dell\anaconda3\lib\site-packages\climate_indices_main.py", line 1684, in main
compute_write_index(kwrgs)
File "c:\users\dell\anaconda3\lib\site-packages\climate_indices_main.py", line 722, in compute_write_index
dataset = xr.open_mfdataset(files, chunks=chunks)
File "c:\users\dell\anaconda3\lib\site-packages\xarray\backends\api.py", line 912, in open_mfdataset
datasets = [open(p, **open_kwargs) for p in paths]
File "c:\users\dell\anaconda3\lib\site-packages\xarray\backends\api.py", line 912, in
datasets = [open(p, **open_kwargs) for p in paths]
File "c:\users\dell\anaconda3\lib\site-packages\xarray\backends\api.py", line 511, in open_dataset
**kwargs,
File "c:\users\dell\anaconda3\lib\site-packages\xarray\backends\api.py", line 324, in _dataset_from_backend_dataset
**extra_tokens,
File "c:\users\dell\anaconda3\lib\site-packages\xarray\backends\api.py", line 295, in _chunk_ds
token=token,
File "c:\users\dell\anaconda3\lib\site-packages\xarray\core\dataset.py", line 433, in _maybe_chunk
var = var.chunk(chunks, name=name2, lock=lock)
File "c:\users\dell\anaconda3\lib\site-packages\xarray\core\variable.py", line 1068, in chunk
data = da.from_array(data, chunks, name=name, lock=lock, **kwargs)
TypeError: from_array() got an unexpected keyword argument 'meta'
Can you please reference the ARSET training materials you're following? The last time they used this package in their training materials they used an out-of-date version which led to numerous unnecessary issues, so I'd like to make sure we're not dealing with that again.
Yeah, I noticed that the new package is a bit different than the one they used in the videos of the ARSET training - Applications of GPM IMERG Reanalysis for Assessing Extreme Dry and Wet Periods (January 28, 2020 - February 04, 2020). They have updated their handouts with the new Climate_Indices packages procedures, but I still ended up with this issue here.
Do not use the package they have provided as it is an out-of-date version. Install climate-indices into your Python environment like so:
$ pip install climate-indices
That's it really. Now you can issue commands to compute indices as described here
I have followed all the steps mentioned in the climate_indices package link for the initial package set-up. I re-did it just now as well, but I am still getting the same TypeError: from_array() got an unexpected keyword argument 'meta' while running the SPI code :(
I installed Anaconda (Anaconda3-2019.10-Windows-x86_64.exe) and I have followed your instruction for the environment set up too. But I am getting another issue right now. I am not sure if it is related to the climate-indices package or my anaconda version. :( Please have a look at this issue.
