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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() NicWayand 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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     xarray 13221727 issue
225536793 MDU6SXNzdWUyMjU1MzY3OTM= 1391 Adding Example/Tutorial of importing data to Xarray (Merge/conact/etc) NicWayand 1117224 open 0 rabernat 1197350   11 2017-05-01T21:50:33Z 2019-07-12T19:43:30Z   NONE      

I love xarray for analysis but getting my data into xarray often takes a lot more time than I think it should. I am a hydrologist and very often hydro data is poorly stored/formatted, which means I need to do multiple merge/conact/combine_first operations etc. to get to a nice xarray dataset format. I think having more examples for importing different types of data would be helpful (for me and possibly others), instead of my current approach, which often entails trial and error.

I can start off by providing an example of importing funky hydrology data that hopefully would be general enough for others to use. Maybe we can compile other examples as well. With the end goal of adding to the readthedocs.

@klapo @jhamman 

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     xarray 13221727 issue

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