issues: 481761508

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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
481761508 MDU6SXNzdWU0ODE3NjE1MDg= 3223 Feature request for multiple tolerance values when using nearest method and sel() 1117224 open 0     4 2019-08-16T19:53:31Z 2024-04-29T23:21:04Z   NONE      

```python import xarray as xr import numpy as np import pandas as pd

Create test data

ds = xr.Dataset() ds.coords['lon'] = np.arange(-120,-60) ds.coords['lat'] = np.arange(30,50) ds.coords['time'] = pd.date_range('2018-01-01','2018-01-30') ds['AirTemp'] = xr.DataArray(np.ones((ds.lat.size,ds.lon.size,ds.time.size)), dims=['lat','lon','time'])

target_lat = [36.83] target_lon = [-110] target_time = [np.datetime64('2019-06-01')]

Nearest pulls a date too far away

ds.sel(lat=target_lat, lon=target_lon, time=target_time, method='nearest')

Adding tolerance for lat long, but also applied to time

ds.sel(lat=target_lat, lon=target_lon, time=target_time, method='nearest', tolerance=0.5)

Ideally tolerance could accept a dictionary but currently fails

ds.sel(lat=target_lat, lon=target_lon, time=target_time, method='nearest', tolerance={'lat':0.5, 'lon':0.5, 'time':np.timedelta64(1,'D')})

```

Expected Output

A dataset with nearest values to tolerances on each dim.

Problem Description

I would like to add the ability of tolerance to accept a dictionary for multiple tolerance values for different dimensions. Before I try implementing it, I wanted to 1) check it doesn't already exist or someone isn't working on it, and 2) get suggestions for how to proceed.

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.6.7 | packaged by conda-forge | (default, Feb 20 2019, 02:51:38) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.9.184-0.1.ac.235.83.329.metal1.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.4 libnetcdf: 4.6.2 xarray: 0.11.3 pandas: 0.24.1 numpy: 1.15.4 scipy: 1.2.1 netCDF4: 1.4.2 pydap: None h5netcdf: None h5py: 2.9.0 Nio: 1.5.5 zarr: 2.2.0 cftime: 1.0.3.4 PseudonetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None cyordereddict: None dask: 1.1.2 distributed: 1.26.0 matplotlib: 3.0.3 cartopy: 0.17.0 seaborn: 0.9.0 setuptools: 40.8.0 pip: 19.0.3 conda: None pytest: None IPython: 7.3.0 sphinx: None 
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     13221727 issue

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