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DOC: update the pandas.Series.dt.is_quarter_start docstring #20278

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Merged
merged 7 commits into from
Mar 14, 2018

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janelle
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@janelle janelle commented Mar 11, 2018

Checklist for the pandas documentation sprint (ignore this if you are doing
an unrelated PR):

  • PR title is "DOC: update the docstring"
  • The validation script passes: scripts/validate_docstrings.py <your-function-or-method>
  • The PEP8 style check passes: git diff upstream/master -u -- "*.py" | flake8 --diff
  • The html version looks good: python doc/make.py --single <your-function-or-method>
  • It has been proofread on language by another sprint participant

Please include the output of the validation script below between the "```" ticks:

################################################################################
################ Docstring (pandas.Series.dt.is_quarter_start)  ################
################################################################################

Return a boolean indicating whether the date is the first day of a
quarter.

Returns
-------
is_quarter_start : Series of boolean.

See Also
--------
quarter : Return the quarter of the date.

is_quarter_end : Return a boolean indicating whether the date is the
    last day of the quarter.

Examples
--------
>>> df = pd.DataFrame({'dates': pd.date_range("2017-03-30", periods=4)})
>>> df.assign(quarter = df.dates.dt.quarter,
...          is_quarter_start = df.dates.dt.is_quarter_start)
       dates  quarter  is_quarter_start
0 2017-03-30        1             False
1 2017-03-31        1             False
2 2017-04-01        2              True
3 2017-04-02        2             False

################################################################################
################################## Validation ##################################
################################################################################

Errors found:
	No summary found (a short summary in a single line should be present at the beginning of the docstring)

If the validation script still gives errors, but you think there is a good reason
to deviate in this case (and there are certainly such cases), please state this
explicitly.

  • Short summary exceeds single line by one word, hope that is ok.

@pep8speaks
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pep8speaks commented Mar 11, 2018

Hello @janelle! Thanks for updating the PR.

Cheers ! There are no PEP8 issues in this Pull Request. 🍻

Comment last updated on March 14, 2018 at 18:47 Hours UTC

@@ -1735,7 +1735,33 @@ def freq(self, value):
is_quarter_start = _field_accessor(
'is_quarter_start',
'is_quarter_start',
"Logical indicating if first day of quarter (defined by frequency)")
"""
Return a boolean indicating whether the date is the first day of a
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Does

Return an indicator for if the date is the first day of the quarter.

fit on a single line?


See Also
--------
quarter : Return the quarter of the date.
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See currently unresolved discussion in #20275 (comment)


Returns
-------
is_quarter_start : Series of boolean.
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is_quarter_start : Series or DatetimeIndex
    The same type as the original data. Series will have the same
    name and index. DatetimeIndex will have the same name.

>>> df = pd.DataFrame({'dates': pd.date_range("2017-03-30",
... periods=4)})
>>> df.assign(quarter = df.dates.dt.quarter,
... is_quarter_start = df.dates.dt.is_quarter_start)
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PEP: one more space.

Examples
--------
>>> df = pd.DataFrame({'dates': pd.date_range("2017-03-30",
... periods=4)})
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PEP8: periods under the opening quote in date_range(

1 2017-03-31 1 False
2 2017-04-01 2 True
3 2017-04-02 2 False
""")
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Add a second example with just DatetimeIndex.is_quarter_start.

@TomAugspurger
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Thanks again :)

@TomAugspurger TomAugspurger merged commit c1cce51 into pandas-dev:master Mar 14, 2018
@TomAugspurger TomAugspurger added this to the 0.23.0 milestone Mar 14, 2018
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4 participants