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What happened:
Dimension doesn't seem to be limited when there are too many of them. See example below.
This slows down the repr significantly and is quite unreadable to me.
What you expected to happen:
To be limited so that it aligns with whatever the maximum line length is for variables.
It's also fine if it continues on a couple of rows below in similar fashion to variables.
Minimal Complete Verifiable Example:
This is probably a bit of an edge case. My real datasets usually have around 12 "dimensions" and coords, +2000 variables, 50 attrs.
What happened:
Dimension doesn't seem to be limited when there are too many of them. See example below.
This slows down the repr significantly and is quite unreadable to me.
What you expected to happen:
To be limited so that it aligns with whatever the maximum line length is for variables.
It's also fine if it continues on a couple of rows below in similar fashion to variables.
Minimal Complete Verifiable Example:
This is probably a bit of an edge case. My real datasets usually have around 12 "dimensions" and coords, +2000 variables, 50 attrs.
Anything else we need to know?:
Environment:
Output of xr.show_versions()
INSTALLED VERSIONS ------------------ commit: None python: 3.8.8 | packaged by conda-forge | (default, Feb 20 2021, 15:50:08) [MSC v.1916 64 bit (AMD64)] python-bits: 64 OS: Windows OS-release: 10 byteorder: little LC_ALL: None LANG: en libhdf5: 1.10.6 libnetcdf: Nonexarray: 0.18.2
pandas: 1.2.4
numpy: 1.20.3
scipy: 1.6.3
netCDF4: None
pydap: None
h5netcdf: None
h5py: 3.2.1
Nio: None
zarr: None
cftime: None
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: 1.3.2
dask: 2021.05.0
distributed: 2021.05.0
matplotlib: 3.4.2
cartopy: None
seaborn: 0.11.1
numbagg: None
pint: None
setuptools: 49.6.0.post20210108
pip: 21.1.2
conda: 4.10.1
pytest: 6.2.4
IPython: 7.24.1
sphinx: 4.0.2
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