convert_calendar adds a time dimension to all variables #10266
Description
What happened?
ds.convert_calendar will add a time dimension to all data_vars, even those that did not depend on it.
What did you expect to happen?
No response
Minimal Complete Verifiable Example
import xarray as xr
ds = xr.tutorial.open_dataset("air_temperature")
# Create a non-time dependent variable
ds["other"] = ds["air"].isel(time=0).drop_vars("time")
out = ds.convert_calendar("standard")
`ds`
<xarray.Dataset> Size: 31MB
Dimensions: (lat: 25, time: 2920, lon: 53)
Coordinates:
* lat (lat) float32 100B 75.0 72.5 70.0 67.5 65.0 ... 22.5 20.0 17.5 15.0
* lon (lon) float32 212B 200.0 202.5 205.0 207.5 ... 325.0 327.5 330.0
* time (time) datetime64[ns] 23kB 2013-01-01 ... 2014-12-31T18:00:00
Data variables:
air (time, lat, lon) float64 31MB 241.2 242.5 243.5 ... 296.2 295.7
other (lat, lon) float64 11kB 241.2 242.5 243.5 ... 296.9 296.8 296.6
Attributes:
Conventions: COARDS
title: 4x daily NMC reanalysis (1948)
description: Data is from NMC initialized reanalysis\n(4x/day). These a...
platform: Model
references: http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...
`out`
<xarray.Dataset> Size: 62MB
Dimensions: (time: 2920, lat: 25, lon: 53)
Coordinates:
* lat (lat) float32 100B 75.0 72.5 70.0 67.5 65.0 ... 22.5 20.0 17.5 15.0
* lon (lon) float32 212B 200.0 202.5 205.0 207.5 ... 325.0 327.5 330.0
* time (time) datetime64[ns] 23kB 2013-01-01 ... 2014-12-31T18:00:00
Data variables:
air (time, lat, lon) float64 31MB 241.2 242.5 243.5 ... 296.2 295.7
other (lat, lon, time) float64 31MB 241.2 241.2 241.2 ... 296.6 296.6
Attributes:
Conventions: COARDS
title: 4x daily NMC reanalysis (1948)
description: Data is from NMC initialized reanalysis\n(4x/day). These a...
platform: Model
references: http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...MVCE confirmation
- Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- Complete example — the example is self-contained, including all data and the text of any traceback.
- Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
- New issue — a search of GitHub Issues suggests this is not a duplicate.
- Recent environment — the issue occurs with the latest version of xarray and its dependencies.
Relevant log output
Anything else we need to know?
No response