issues: 293725143
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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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293725143 | MDU6SXNzdWUyOTM3MjUxNDM= | 1878 | dtype kwargs of aggregation methods not passed to numpy function | 5638829 | closed | 0 | 3 | 2018-02-01T23:47:58Z | 2018-02-02T00:06:02Z | 2018-02-01T23:58:08Z | NONE | Hi, I'm trying to pass ```python import xarray as xr import numpy as np from datetime import datetime import datetime as dt arr = np.random.randint(0, 10000, size=(20, 1000, 1000), dtype=np.int16) date_list = [datetime(2018, 1, 1) + dt.timedelta(delta) for delta in range(20)] xarr = xr.DataArray(arr, dims=['time', 'x', 'y'], coords={'time': date_list}) xset = xr.Dataset({'blue': xarr, 'green': xarr, 'red': xarr}) print(xset) <xarray.Dataset>Dimensions: (time: 20, x: 1000, y: 1000)Coordinates:* time (time) datetime64[ns] 2018-01-01 2018-01-02 2018-01-03 ...Dimensions without coordinates: x, yData variables:blue (time, x, y) int16 1946 9194 1563 8318 938 8498 7999 6609 6275 ...red (time, x, y) int16 1946 9194 1563 8318 938 8498 7999 6609 6275 ...green (time, x, y) int16 1946 9194 1563 8318 938 8498 7999 6609 6275 ...xset_mean = xset.mean('time', keep_attrs=True, dtype=np.int16) print(xset_mean) <xarray.Dataset>Dimensions: (x: 1000, y: 1000)Dimensions without coordinates: x, yData variables:blue (x, y) float64 5.46e+03 4.717e+03 5.959e+03 4.31e+03 4.865e+03 ...red (x, y) float64 5.46e+03 4.717e+03 5.959e+03 4.31e+03 4.865e+03 ...green (x, y) float64 5.46e+03 4.717e+03 5.959e+03 4.31e+03 4.865e+03 ...Pure numpyarr_mean = arr.mean(axis=0, dtype=np.int16) print(arr_mean.dtype) int16```
INSTALLED VERSIONS
------------------
commit: None
python: 3.5.2.final.0
python-bits: 64
OS: Linux
OS-release: 4.4.0-104-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
xarray: 0.10.0
pandas: 0.22.0
numpy: 1.14.0
scipy: None
netCDF4: 1.3.1
h5netcdf: None
Nio: None
bottleneck: None
cyordereddict: None
dask: 0.16.0
matplotlib: None
cartopy: None
seaborn: None
setuptools: 38.4.0
pip: 9.0.1
conda: None
pytest: None
IPython: None
sphinx: None
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completed | 13221727 | issue |