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
1284475176,I_kwDOAMm_X85Mj4ko,6726,Long import time,34740232,closed,0,,,9,2022-06-25T07:01:18Z,2022-10-28T16:25:41Z,2022-10-28T16:25:41Z,NONE,,,,"### What is your issue?

Importing the xarray package takes a significant amount of time. For instance:
```
❯ time python -c ""import xarray""
python -c ""import xarray""  1.44s user 0.52s system 132% cpu 1.476 total
```
compared to others
```
❯ time python -c ""import pandas""
python -c ""import pandas""  0.45s user 0.35s system 177% cpu 0.447 total

❯ time python -c ""import scipy""
python -c ""import scipy""  0.29s user 0.23s system 297% cpu 0.175 total

❯ time python -c ""import numpy""
python -c ""import numpy""  0.29s user 0.43s system 313% cpu 0.229 total

❯ time python -c ""import datetime""
python -c ""import datetime""  0.05s user 0.00s system 99% cpu 0.051 total
```
I am obviously not surprised that importing xarray takes longer than importing Pandas, Numpy or the datetime module, but 1.5 s is something you clearly notice when it is done *e.g.* by a command-line application.

I inquired about import performance and found out about a [lazy module loader proposal by the Scientific Python community](https://scientific-python.org/specs/spec-0001/). AFAIK SciPy uses a similar system to populate its namespaces without import time penalty. Would it be possible for xarray to use delayed imports when relevant?","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/6726/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
1047599975,I_kwDOAMm_X84-cRtn,5953,Selecting with MultiIndex raises a TypeError,34740232,closed,0,4160723,,1,2021-11-08T15:39:10Z,2022-03-17T17:11:43Z,2022-03-17T17:11:43Z,NONE,,,,"<!-- Please include a self-contained copy-pastable example that generates the issue if possible.

Please be concise with code posted. See guidelines below on how to provide a good bug report:

- Craft Minimal Bug Reports: http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports
- Minimal Complete Verifiable Examples: https://stackoverflow.com/help/mcve

Bug reports that follow these guidelines are easier to diagnose, and so are often handled much more quickly.
-->

**What happened**: After updating xarray to v0.20.1, some of my multi-index-based selection code raises a `TypeError`.

**What you expected to happen**: Selection should work in the case I am considering.

**Minimal Complete Verifiable Example**:

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

da = xr.DataArray(data=[0, 1, 2, 3], dims=(""x"",)).reindex(
    {""x"": pd.MultiIndex.from_product(([""foo"", ""bar""], [0, 1]), names=(""str"", ""int""))}
)
print(da.sel(x=(""foo"", 1)))
```

**Expected output** (what I get with xarray 0.19.0):

```
<xarray.DataArray ()>
array(1)
Coordinates:
    x        object ('foo', 1)
```

**Actual output** (with xarray 0.20.1):

```
Traceback (most recent call last):
  File ""playgrounds/xarray_mwe.py"", line 7, in <module>
    da.sel(x=(""foo"", 1))
  File ""/Users/leroyv/miniforge3/envs/eradiate/lib/python3.7/site-packages/xarray/core/dataarray.py"", line 1337, in sel
    **indexers_kwargs,
  File ""/Users/leroyv/miniforge3/envs/eradiate/lib/python3.7/site-packages/xarray/core/dataset.py"", line 2505, in sel
    self, indexers=indexers, method=method, tolerance=tolerance
  File ""/Users/leroyv/miniforge3/envs/eradiate/lib/python3.7/site-packages/xarray/core/coordinates.py"", line 422, in remap_label_indexers
    obj, v_indexers, method=method, tolerance=tolerance
  File ""/Users/leroyv/miniforge3/envs/eradiate/lib/python3.7/site-packages/xarray/core/indexing.py"", line 120, in remap_label_indexers
    idxr, new_idx = index.query(labels, method=method, tolerance=tolerance)
  File ""/Users/leroyv/miniforge3/envs/eradiate/lib/python3.7/site-packages/xarray/core/indexes.py"", line 235, in query
    label_value, method=method, tolerance=tolerance
TypeError: get_loc() got an unexpected keyword argument 'tolerance'
```

**Anything else we need to know?**: Nothing I'm aware of

**Environment**:

<details><summary>Output of <tt>xr.show_versions()</tt> (with xarray 0.19.0)</summary>

<!-- Paste the output here xr.show_versions() here -->

INSTALLED VERSIONS
------------------
commit: None
python: 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 05:57:50)
[Clang 11.1.0 ]
python-bits: 64
OS: Darwin
OS-release: 20.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: (None, 'UTF-8')
libhdf5: 1.12.1
libnetcdf: 4.8.1

xarray: 0.19.0
pandas: 1.3.4
numpy: 1.21.4
scipy: 1.7.1
netCDF4: 1.5.8
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.5.1.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: 2021.11.0
distributed: 2021.11.0
matplotlib: 3.4.3
cartopy: None
seaborn: 0.11.2
numbagg: None
pint: 0.18
setuptools: 58.5.3
pip: 21.3.1
conda: None
pytest: 6.2.5
IPython: 7.29.0
sphinx: 4.2.0

</details>

<details><summary>Output of <tt>xr.show_versions()</tt> (with xarray 0.20.1)</summary>

<!-- Paste the output here xr.show_versions() here -->

INSTALLED VERSIONS
------------------
commit: None
python: 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 05:57:50)
[Clang 11.1.0 ]
python-bits: 64
OS: Darwin
OS-release: 20.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: (None, 'UTF-8')
libhdf5: 1.12.1
libnetcdf: 4.8.1

xarray: 0.20.1
pandas: 1.3.4
numpy: 1.21.4
scipy: 1.7.1
netCDF4: 1.5.8
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.5.1.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: 2021.11.0
distributed: 2021.11.0
matplotlib: 3.4.3
cartopy: None
seaborn: 0.11.2
numbagg: None
fsspec: 2021.11.0
cupy: None
pint: 0.18
sparse: None
setuptools: 58.5.3
pip: 21.3.1
conda: None
pytest: 6.2.5
IPython: 7.29.0
sphinx: 4.2.0

</details>","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5953/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue