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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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1073635991 | I_kwDOAMm_X84__mKX | 6052 | map_blocks not converting dataarrays correctly | tcchiao 6431831 | closed | 0 | 2 | 2021-12-07T18:17:21Z | 2021-12-29T16:54:17Z | 2021-12-29T16:54:17Z | CONTRIBUTOR | What happened:
When using What you expected to happen: The code intends to convert dataarrays to datasets before calling .chunks, and I expect it to do so. Minimal Complete Verifiable Example: ``` import xarray as xr import pandas as pd import numpy as np import string def random_point_data(n_points=1, n_times=100): size = (n_times, n_points) dims = ('time', 'point') times = pd.date_range('1979-01-01', freq='1D', periods=n_times) da = xr.DataArray(np.random.random(size=size), dims=(dims), coords={'time': times}) return da def mock_function(da1, non_xarray_input, da2): return da1 X = random_point_data(n_points=3).chunk({'point': 1}) out = xr.map_blocks(mock_function, X, args=['random_string', X]) ``` gives an error of ```ValueError Traceback (most recent call last) <ipython-input-65-dea560baad18> in <module> 14 15 X = random_point_data(n_points=3).chunk({'point': 1}) ---> 16 out = xr.map_blocks(mock_function, X, args=['random_string', X]) /srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/core/parallel.py in map_blocks(func, obj, args, kwargs, template) 363 for arg in xarray_objs[1:]: 364 assert_chunks_compatible(npargs[0], arg) --> 365 input_chunks.update(arg.chunks) 366 input_indexes.update(arg.indexes) 367 ValueError: dictionary update sequence element #0 has length 1; 2 is required ``` Anything else we need to know?: This should be fixed with a one line change here from
This is because Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.8.6 | packaged by conda-forge | (default, Jan 25 2021, 23:21:18) [GCC 9.3.0] python-bits: 64 OS: Linux OS-release: 4.14.177-139.253.amzn2.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: C.UTF-8 LANG: C.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.16.2 pandas: 1.2.1 numpy: 1.20.0 scipy: 1.6.0 netCDF4: 1.5.5.1 pydap: installed h5netcdf: 0.8.1 h5py: 3.1.0 Nio: None zarr: 2.10.3 cftime: 1.4.1 nc_time_axis: 1.2.0 PseudoNetCDF: None rasterio: 1.2.0 cfgrib: 0.9.8.5 iris: None bottleneck: 1.3.2 dask: 2021.01.1 distributed: 2021.01.1 matplotlib: 3.3.4 cartopy: 0.18.0 seaborn: None numbagg: None pint: 0.16.1 setuptools: 49.6.0.post20210108 pip: 20.3.4 conda: None pytest: 6.2.5 IPython: 7.20.0 sphinx: 3.4.3 |
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