issues: 720315478
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 720315478 | MDU6SXNzdWU3MjAzMTU0Nzg= | 4507 | Dropping of unaligned Data at assignment to Dataset | 22542812 | open | 0 | 2 | 2020-10-13T14:13:28Z | 2020-10-13T14:59:37Z | NONE | What happened:
I recently ran into the trouble as I assigned data generate by an external program to a dataset, and suddenly the dataset contained only What you expected to happen: I would have expected an error or at least a warning, when the coordinates don't match. The current behavior can lead to bugs which are very hard to trace. Minimal Complete Verifiable Example: ```python import numpy as np import xarray as xr x = np.linspace(0, 1) dataset = xr.Dataset(coords={'x': x}) data = xr.DataArray(np.random.random(50), dims=['x'], coords={'x': np.around(x, decimals=10)}) dataset['data'] = data
print(dataset.data)
print(dataset.coords['x'])
print(data.coords['x'])
print(dataset.data)<xarray.DataArray 'data' (x: 50)> array([0.20134419, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.98357925]) Coordinates: * x (x) float64 0.0 0.02041 0.04082 0.06122 ... 0.9592 0.9796 1.0 print(dataset.coords['x'])<xarray.DataArray 'x' (x: 50)> array([0. , 0.020408, 0.040816, 0.061224, 0.081633, 0.102041, 0.122449, 0.142857, 0.163265, 0.183673, 0.204082, 0.22449 , 0.244898, 0.265306, 0.285714, 0.306122, 0.326531, 0.346939, 0.367347, 0.387755, 0.408163, 0.428571, 0.44898 , 0.469388, 0.489796, 0.510204, 0.530612, 0.55102 , 0.571429, 0.591837, 0.612245, 0.632653, 0.653061, 0.673469, 0.693878, 0.714286, 0.734694, 0.755102, 0.77551 , 0.795918, 0.816327, 0.836735, 0.857143, 0.877551, 0.897959, 0.918367, 0.938776, 0.959184, 0.979592, 1. ]) Coordinates: * x (x) float64 0.0 0.02041 0.04082 0.06122 ... 0.9592 0.9796 1.0 print(data.coords['x'])<xarray.DataArray 'x' (x: 50)> array([0. , 0.020408, 0.040816, 0.061224, 0.081633, 0.102041, 0.122449, 0.142857, 0.163265, 0.183673, 0.204082, 0.22449 , 0.244898, 0.265306, 0.285714, 0.306122, 0.326531, 0.346939, 0.367347, 0.387755, 0.408163, 0.428571, 0.44898 , 0.469388, 0.489796, 0.510204, 0.530612, 0.55102 , 0.571429, 0.591837, 0.612245, 0.632653, 0.653061, 0.673469, 0.693878, 0.714286, 0.734694, 0.755102, 0.77551 , 0.795918, 0.816327, 0.836735, 0.857143, 0.877551, 0.897959, 0.918367, 0.938776, 0.959184, 0.979592, 1. ]) Coordinates: * x (x) float64 0.0 0.02041 0.04082 0.06122 ... 0.9592 0.9796 1.0 ``` Anything else we need to know?: Environment: Output of <tt>xr.show_versions()</tt>```sh $ py -c "import xarray as xr; xr.show_versions()" INSTALLED VERSIONS ------------------ commit: None python: 3.7.3 (default, Mar 27 2019, 22:11:17) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.15.0-118-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.2 libnetcdf: 4.6.1 xarray: 0.16.1 pandas: 1.0.5 numpy: 1.18.5 scipy: 1.5.0 netCDF4: 1.4.2 pydap: None h5netcdf: 0.8.1 h5py: 2.9.0 Nio: None zarr: None cftime: 1.1.2 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.13.0 distributed: 2.13.0 matplotlib: 3.2.1 cartopy: None seaborn: None numbagg: None pint: None setuptools: 46.1.3 pip: 19.3.1 conda: 4.8.5 pytest: 5.1.2 IPython: 7.18.1 sphinx: 3.0.2 ``` |
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13221727 | issue |