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
683954433,MDU6SXNzdWU2ODM5NTQ0MzM=,4367,Should __repr__ and __str__ be PEP8 compliant?,14371165,closed,0,,,7,2020-08-22T08:10:15Z,2020-11-25T23:25:44Z,2020-11-25T23:25:44Z,MEMBER,,,,"<!-- Please do a quick search of existing issues to make sure that this has not been asked before. -->

**Is your feature request related to a problem? Please describe.**
When creating docs with examples it would be nice if you could simply use `print(ds)` without being concerned about line lengths.

**Describe the solution you'd like**
Limit line length so that a method docstring in a class can use `print(ds)`  without breaking PEP8 conventions. So maximum line length for the `ds.__repr__`/`ds.__str__` would be 79 - 4 - 4 = 71.

**Example code**
Example where print(ds) creates lines longer than 79:
```python
import numpy as np
import pandas as pd
import xarray as xr


class foo():
    """"""
    Test class.

    (...)
    """"""

    def bar():
        """"""
        Return 1.

        Examples
        --------
        Create data:

        >>> np.random.seed(0)
        >>> temperature = 15 + 8 * np.random.randn(2, 2, 3)
        >>> precipitation = 10 * np.random.rand(2, 2, 3)
        >>> lon = [[-99.83, -99.32], [-99.79, -99.23]]
        >>> lat = [[42.25, 42.21], [42.63, 42.59]]
        >>> time = pd.date_range(""2014-09-06"", periods=3)
        >>> reference_time = pd.Timestamp(""2014-09-05"")

        Initialize a dataset with multiple dimensions:

        >>> ds = xr.Dataset(
        ...     {
        ...         ""temperature"": ([""x"", ""y"", ""time""], temperature),
        ...         ""precipitation"": ([""x"", ""y"", ""time""], precipitation),
        ...     },
        ...     coords={
        ...         ""lon"": ([""x"", ""y""], lon),
        ...         ""lat"": ([""x"", ""y""], lat),
        ...         ""time"": time,
        ...         ""reference_time"": reference_time,
        ...     },
        ... )

        Print results:

        >>> print(ds.temperature.values[0])
        [[29.11241877 18.20125767 22.82990387]
         [32.92714559 29.94046392  7.18177696]]
        >>> print(ds)
        <xarray.Dataset>
        Dimensions:         (time: 3, x: 2, y: 2)
        Coordinates:
            lon             (x, y) float64 -99.83 -99.32 -99.79 -99.23
            lat             (x, y) float64 42.25 42.21 42.63 42.59
          * time            (time) datetime64[ns] 2014-09-06 2014-09-07 2014-09-08
            reference_time  datetime64[ns] 2014-09-05
        Dimensions without coordinates: x, y
        Data variables:
            temperature     (x, y, time) float64 29.11 18.2 22.83 ... 18.28 16.15 26.63
            precipitation   (x, y, time) float64 5.68 9.256 0.7104 ... 7.992 4.615 7.805
        >>> ds
        <xarray.Dataset>
        Dimensions:         (time: 3, x: 2, y: 2)
        Coordinates:
            lon             (x, y) float64 -99.83 -99.32 -99.79 -99.23
            lat             (x, y) float64 42.25 42.21 42.63 42.59
          * time            (time) datetime64[ns] 2014-09-06 2014-09-07 2014-09-08
            reference_time  datetime64[ns] 2014-09-05
        Dimensions without coordinates: x, y
        Data variables:
            temperature     (x, y, time) float64 29.11 18.2 22.83 ... 18.28 16.15 26.63
            precipitation   (x, y, time) float64 5.68 9.256 0.7104 ... 7.992 4.615 7.805
        """"""
        return 1


if __name__ == '__main__':
    import doctest
    doctest.testmod()

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