issues: 683954433

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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
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      

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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