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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
778123296 MDExOlB1bGxSZXF1ZXN0NTQ4MjY4ODg5 4762 Print number of variables in repr Illviljan 14371165 closed 0     6 2021-01-04T14:13:17Z 2021-05-18T18:17:50Z 2021-01-12T00:21:19Z MEMBER   0 pydata/xarray/pulls/4762

Show the printed and total number of variables in the repr.

  • [x] Passes isort . && black . && mypy . && flake8

```python import numpy as np import xarray as xr

a = np.arange(0, 15) b = np.core.defchararray.add("long_variable_name", a.astype(str)) c = np.arange(0, 25) 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=np.array([0, 1]).astype(bool), dims=["time"], coords=coords, ) ds1 = xr.Dataset(data_vars) ds1.attrs = e

The repr now shows how many attributes in total there are:

print(ds1) Out[10]: <xarray.Dataset> Dimensions: (time: 2) Coordinates: * time (time) int32 0 1 Data variables: (12/15) long_variable_name0 (time) bool False True long_variable_name1 (time) bool False True long_variable_name2 (time) bool False True long_variable_name3 (time) bool False True long_variable_name4 (time) bool False True long_variable_name5 (time) bool False True ... long_variable_name9 (time) bool False True long_variable_name10 (time) bool False True long_variable_name11 (time) bool False True long_variable_name12 (time) bool False True long_variable_name13 (time) bool False True long_variable_name14 (time) bool False True Attributes: (12/25) attr_0: 2 attr_1: 2 attr_2: 2 attr_3: 2 attr_4: 2 attr_5: 2 ... attr_19: 2 attr_20: 2 attr_21: 2 attr_22: 2 attr_23: 2 attr_24: 2 ```

 
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     xarray 13221727 pull
780426518 MDExOlB1bGxSZXF1ZXN0NTUwMzIxOTU1 4771 Always force dask arrays to float in missing.interp_func Illviljan 14371165 closed 0     3 2021-01-06T10:18:55Z 2021-05-18T18:17:30Z 2021-01-12T10:15:28Z MEMBER   0 pydata/xarray/pulls/4771

scipy.interpolate.interp1d always forces float so make sure that da.blockwise understands that as well.

  • [x] Workaround for #4770
  • [x] Tests added
  • [x] Passes isort . && black . && mypy . && flake8
 
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     xarray 13221727 pull

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