issues: 408010761
This data as json
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 408010761 | MDU6SXNzdWU0MDgwMTA3NjE= | 2755 | rolling count not working | 44284270 | closed | 0 | 5 | 2019-02-08T05:24:11Z | 2019-02-08T14:43:59Z | 2019-02-08T07:50:56Z | NONE | This is my code ```python R = OM.rolling(time=59) for label, arr_window in R: aa_try = dset.precip \ .where(dset.precip < 50) \ .count(dim='time') ``` so my data is of shape 324,72,144 i.e. time,lon and lat. I want to do a rolling count over the time dimention with threshold as specified above. the problem is I expect to get data of the same dimension but instead I get only 2d data. Is there anyway to get around this? Any advice will be very helpfull. [this should explain why the current behavior is a problem and why the expected output is a better solution.]
Output of INSTALLED VERSIONS
------------------
commit: None
python: 3.6.6.final.0
python-bits: 64
OS: Darwin
OS-release: 18.2.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: None
LOCALE: en_AU.UTF-8
xarray: 0.11.0
pandas: 0.23.4
numpy: 1.15.4
scipy: 1.1.0
netCDF4: 1.4.1
h5netcdf: None
h5py: 2.8.0
Nio: None
zarr: None
cftime: 1.0.3.4
PseudonetCDF: None
rasterio: None
iris: 2.2.0
bottleneck: None
cyordereddict: None
dask: 1.0.0
distributed: 1.25.0
matplotlib: 3.0.2
cartopy: 0.17.0
seaborn: 0.9.0
setuptools: 40.6.2
pip: 18.1
conda: None
pytest: None
IPython: 7.2.0
sphinx: 1.8.3
|
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completed | 13221727 | issue |