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import xarray as xr da = xr.DataArray([0, 1, 2]) da.quantile(q=50) >>> ValueError: Percentiles must be in the range [0, 100]
ValueError: Quantiles must be in the range [0, 1]
By wrapping np.nanpercentile (xref: #3559) we also get the numpy error. However, the error message is wrong as xarray needs it to be in 0..1.
np.nanpercentile
BTW: thanks for #3559, makes my life easier!
xr.show_versions()
Edit: uses nanpercentile internally.
nanpercentile
commit: None python: 3.7.3 | packaged by conda-forge | (default, Jul 1 2019, 21:52:21) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.12.14-lp151.28.36-default machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.5 libnetcdf: 4.7.1
xarray: 0.14.1+28.gf2b2f9f6 (current master) pandas: 0.25.2 numpy: 1.17.3 scipy: 1.3.1 netCDF4: 1.5.3 pydap: None h5netcdf: 0.7.4 h5py: 2.10.0 Nio: None zarr: None cftime: 1.0.4.2 nc_time_axis: 1.2.0 PseudoNetCDF: None rasterio: 1.1.1 cfgrib: None iris: None bottleneck: 1.2.1 dask: 2.6.0 distributed: 2.6.0 matplotlib: 3.1.2 cartopy: 0.17.0 seaborn: 0.9.0 numbagg: None setuptools: 41.4.0 pip: 19.3.1 conda: None pytest: 5.2.2 IPython: 7.9.0 sphinx: 2.2.1
The text was updated successfully, but these errors were encountered:
Looks straightforward - could you open a PR?
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MCVE Code Sample
Expected Output
Problem Description
By wrapping
np.nanpercentile
(xref: #3559) we also get the numpy error. However, the error message is wrong as xarray needs it to be in 0..1.BTW: thanks for #3559, makes my life easier!
Output of
xr.show_versions()
Edit: uses
nanpercentile
internally.INSTALLED VERSIONS
commit: None
python: 3.7.3 | packaged by conda-forge | (default, Jul 1 2019, 21:52:21)
[GCC 7.3.0]
python-bits: 64
OS: Linux
OS-release: 4.12.14-lp151.28.36-default
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
LOCALE: en_US.UTF-8
libhdf5: 1.10.5
libnetcdf: 4.7.1
xarray: 0.14.1+28.gf2b2f9f6 (current master)
pandas: 0.25.2
numpy: 1.17.3
scipy: 1.3.1
netCDF4: 1.5.3
pydap: None
h5netcdf: 0.7.4
h5py: 2.10.0
Nio: None
zarr: None
cftime: 1.0.4.2
nc_time_axis: 1.2.0
PseudoNetCDF: None
rasterio: 1.1.1
cfgrib: None
iris: None
bottleneck: 1.2.1
dask: 2.6.0
distributed: 2.6.0
matplotlib: 3.1.2
cartopy: 0.17.0
seaborn: 0.9.0
numbagg: None
setuptools: 41.4.0
pip: 19.3.1
conda: None
pytest: 5.2.2
IPython: 7.9.0
sphinx: 2.2.1
The text was updated successfully, but these errors were encountered: