issues: 777526340

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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
777526340 MDExOlB1bGxSZXF1ZXN0NTQ3Nzk5MDk2 4750 Limit number of data rows shown in repr 14371165 closed 0     8 2021-01-02T21:14:50Z 2021-01-04T02:13:52Z 2021-01-04T02:13:52Z MEMBER   0 pydata/xarray/pulls/4750
  • [x] Closes #4736
  • [x] Tests added
  • [x] Passes isort . && black . && mypy . && flake8
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst

Test example: python a = np.arange(0, 2000) b = np.core.defchararray.add("long_variable_name", a.astype(str)) c = np.arange(0, 30) d = np.core.defchararray.add("attr_", c.astype(str)) e = {k: 2 for k in d} coords = dict(time=da.array([0, 1])) data_vars = dict() for v in b: data_vars[v] = xr.DataArray( name=v, data=da.array([3, 4]), dims=["time"], coords=coords, ) ds0 = xr.Dataset(data_vars) ds0.attrs = e

Looks like this with 24 max rows of interesting data: python print(ds0) Out[15]: <xarray.Dataset> Dimensions: (time: 2) Coordinates: * time (time) int32 0 1 Data variables: long_variable_name0 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name2 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name3 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name4 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name5 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name6 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name7 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name8 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name9 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name10 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name11 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> ... ... long_variable_name1988 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1989 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1990 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1991 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1992 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1993 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1994 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1995 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1996 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1997 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1998 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1999 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> Attributes: attr_0: 2 attr_1: 2 attr_2: 2 attr_3: 2 attr_4: 2 attr_5: 2 attr_6: 2 attr_7: 2 attr_8: 2 attr_9: 2 attr_10: 2 attr_11: 2 ... ... attr_18: 2 attr_19: 2 attr_20: 2 attr_21: 2 attr_22: 2 attr_23: 2 attr_24: 2 attr_25: 2 attr_26: 2 attr_27: 2 attr_28: 2 attr_29: 2 With 20 rows of interesting data: python xr.set_options(display_max_rows=20) ds0 Out[26]: <xarray.Dataset> Dimensions: (time: 2) Coordinates: * time (time) int32 0 1 Data variables: long_variable_name0 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name2 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name3 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name4 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name5 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name6 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name7 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name8 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name9 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> ... long_variable_name1990 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1991 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1992 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1993 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1994 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1995 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1996 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1997 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1998 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1999 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> Attributes: attr_0: 2 attr_1: 2 attr_2: 2 attr_3: 2 attr_4: 2 attr_5: 2 attr_6: 2 attr_7: 2 attr_8: 2 attr_9: 2 ... attr_20: 2 attr_21: 2 attr_22: 2 attr_23: 2 attr_24: 2 attr_25: 2 attr_26: 2 attr_27: 2 attr_28: 2 attr_29: 2

With 16 rows of interesting data: python xr.set_options(display_max_rows=16) ds0 Out[28]: <xarray.Dataset> Dimensions: (time: 2) Coordinates: * time (time) int32 0 1 Data variables: long_variable_name0 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name2 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name3 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name4 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name5 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name6 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name7 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> ... long_variable_name1992 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1993 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1994 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1995 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1996 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1997 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1998 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1999 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> Attributes: attr_0: 2 attr_1: 2 attr_2: 2 attr_3: 2 attr_4: 2 attr_5: 2 attr_6: 2 attr_7: 2 ... attr_22: 2 attr_23: 2 attr_24: 2 attr_25: 2 attr_26: 2 attr_27: 2 attr_28: 2 attr_29: 2

With 12 rows of interesting data: ```python xr.set_options(display_max_rows=12) print(ds0) Out[79]: <xarray.Dataset> Dimensions: (time: 2) Coordinates: * time (time) int32 0 1 Data variables: long_variable_name0 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name2 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name3 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name4 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name5 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> ... long_variable_name1994 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1995 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1996 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1997 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1998 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> long_variable_name1999 (time) int32 dask.array<chunksize=(2,), meta=np.ndarray> Attributes: attr_0: 2 attr_1: 2 attr_2: 2 attr_3: 2 attr_4: 2 attr_5: 2 ... attr_24: 2 attr_25: 2 attr_26: 2 attr_27: 2 attr_28: 2 attr_29: 2

```

 
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