issues: 621123222

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621123222 MDU6SXNzdWU2MjExMjMyMjI= 4081 Wrap "Dimensions" onto multiple lines in xarray.Dataset repr? 1217238 closed 0     4 2020-05-19T16:31:59Z 2022-04-29T19:59:24Z 2022-04-29T19:59:24Z MEMBER      

Here's an example dataset of a large dataset from @alimanfoo: https://nbviewer.jupyter.org/gist/alimanfoo/b74b08465727894538d5b161b3ced764 <xarray.Dataset> Dimensions: (__variants/BaseCounts_dim1: 4, __variants/MLEAC_dim1: 3, __variants/MLEAF_dim1: 3, alt_alleles: 3, ploidy: 2, samples: 1142, variants: 21442865) Coordinates: samples/ID (samples) object dask.array<chunksize=(1142,), meta=np.ndarray> variants/CHROM (variants) object dask.array<chunksize=(21442865,), meta=np.ndarray> variants/POS (variants) int32 dask.array<chunksize=(4194304,), meta=np.ndarray> Dimensions without coordinates: __variants/BaseCounts_dim1, __variants/MLEAC_dim1, __variants/MLEAF_dim1, alt_alleles, ploidy, samples, variants Data variables: variants/ABHet (variants) float32 dask.array<chunksize=(4194304,), meta=np.ndarray> variants/ABHom (variants) float32 dask.array<chunksize=(4194304,), meta=np.ndarray> variants/AC (variants, alt_alleles) int32 dask.array<chunksize=(4194304, 3), meta=np.ndarray> variants/AF (variants, alt_alleles) float32 dask.array<chunksize=(4194304, 3), meta=np.ndarray> ...

I know similarly large datasets with lots of dimensions come up in other contexts as well, e.g., with geophysical model output.

That's a very long first line! This would be easier to read as: <xarray.Dataset> Dimensions: (__variants/BaseCounts_dim1: 4, __variants/MLEAC_dim1: 3, __variants/MLEAF_dim1: 3, alt_alleles: 3, ploidy: 2, samples: 1142, variants: 21442865) Coordinates: samples/ID (samples) object dask.array<chunksize=(1142,), meta=np.ndarray> variants/CHROM (variants) object dask.array<chunksize=(21442865,), meta=np.ndarray> variants/POS (variants) int32 dask.array<chunksize=(4194304,), meta=np.ndarray> Dimensions without coordinates: __variants/BaseCounts_dim1, __variants/MLEAC_dim1, __variants/MLEAF_dim1, alt_alleles, ploidy, samples, variants Data variables: variants/ABHet (variants) float32 dask.array<chunksize=(4194304,), meta=np.ndarray> variants/ABHom (variants) float32 dask.array<chunksize=(4194304,), meta=np.ndarray> variants/AC (variants, alt_alleles) int32 dask.array<chunksize=(4194304, 3), meta=np.ndarray> variants/AF (variants, alt_alleles) float32 dask.array<chunksize=(4194304, 3), meta=np.ndarray> ...

or maybe: <xarray.Dataset> Dimensions: __variants/BaseCounts_dim1: 4 __variants/MLEAC_dim1: 3 __variants/MLEAF_dim1: 3 alt_alleles: 3 ploidy: 2 samples: 1142 variants: 21442865 Coordinates: samples/ID (samples) object dask.array<chunksize=(1142,), meta=np.ndarray> variants/CHROM (variants) object dask.array<chunksize=(21442865,), meta=np.ndarray> variants/POS (variants) int32 dask.array<chunksize=(4194304,), meta=np.ndarray> Dimensions without coordinates: __variants/BaseCounts_dim1, __variants/MLEAC_dim1, __variants/MLEAF_dim1, alt_alleles, ploidy, samples, variants Data variables: variants/ABHet (variants) float32 dask.array<chunksize=(4194304,), meta=np.ndarray> variants/ABHom (variants) float32 dask.array<chunksize=(4194304,), meta=np.ndarray> variants/AC (variants, alt_alleles) int32 dask.array<chunksize=(4194304, 3), meta=np.ndarray> variants/AF (variants, alt_alleles) float32 dask.array<chunksize=(4194304, 3), meta=np.ndarray> ...

Dimensions without coordinates could probably use some wrapping, too.

 
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