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

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

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

# paste output of "scripts/validate_docstrings.py <your-function-or-method>" here
# between the "```" 
(pandas-dev) D:\GitHub\pandas>python scripts/validate_docstrings.py pandas.core.window.Rolling.sum

################################################################################
################## Docstring (pandas.core.window.Rolling.sum) ##################
################################################################################

Calculate rolling sum of given DataFrame or Series.

Parameters
----------
*args
    Under Review.
**kwargs
    Under Review.

Returns
-------
Series or DataFrame
    Like-indexed object containing the result of function application

See Also
--------
Series.rolling : Calling object with Series data
DataFrame.rolling  : Calling object with DataFrame data
Series.sum  : Equivalent method for Series
DataFrame.sum   : Equivalent method for DataFrame

Examples
--------
>>> s = pd.Series([1, 2, 3, 4, 5])
>>> s.rolling(3).sum()
0     NaN
1     NaN
2     6.0
3     9.0
4    12.0
dtype: float64
>>> s.expanding(3).sum()
0     NaN
1     NaN
2     6.0
3    10.0
4    15.0
dtype: float64
>>> s.rolling(3, center=True).sum()
0     NaN
1     6.0
2     9.0
3    12.0
4     NaN
dtype: float64

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

Errors found:
        No extended summary found
        Errors in parameters section
                Parameters {'kwargs', 'args'} not documented
                Unknown parameters {'**kwargs', '*args'}
                Parameter "*args" has no type
                Parameter "**kwargs" has no type

(pandas-dev) D:\GitHub\pandas>python scripts/validate_docstrings.py pandas.core.window.Expanding.sum

################################################################################
################# Docstring (pandas.core.window.Expanding.sum) #################
################################################################################

Calculate expanding sum of given DataFrame or Series.

Parameters
----------
*args
    Under Review.
**kwargs
    Under Review.

Returns
-------
Series or DataFrame
    Like-indexed object containing the result of function application

See Also
--------
Series.expanding : Calling object with Series data
DataFrame.expanding  : Calling object with DataFrame data
Series.sum  : Equivalent method for Series
DataFrame.sum   : Equivalent method for DataFrame

Examples
--------
>>> s = pd.Series([1, 2, 3, 4, 5])
>>> s.rolling(3).sum()
0     NaN
1     NaN
2     6.0
3     9.0
4    12.0
dtype: float64
>>> s.expanding(3).sum()
0     NaN
1     NaN
2     6.0
3    10.0
4    15.0
dtype: float64
>>> s.rolling(3, center=True).sum()
0     NaN
1     6.0
2     9.0
3    12.0
4     NaN
dtype: float64

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

Errors found:
        No extended summary found
        Errors in parameters section
                Parameters {'kwargs', 'args'} not documented
                Unknown parameters {'**kwargs', '*args'}
                Parameter "*args" has no type
                Parameter "**kwargs" has no type

(pandas-dev) D:\GitHub\pandas>python scripts/validate_docstrings.py pandas.core.window.Window.sum

################################################################################
################## Docstring (pandas.core.window.Window.sum)  ##################
################################################################################

Calculate window sum of given DataFrame or Series.

Parameters
----------
*args
    Under Review.
**kwargs
    Under Review.

Returns
-------
Series or DataFrame
    Like-indexed object containing the result of function application

See Also
--------
Series.window : Calling object with Series data
DataFrame.window  : Calling object with DataFrame data
Series.sum  : Equivalent method for Series
DataFrame.sum   : Equivalent method for DataFrame

Examples
--------
>>> s = pd.Series([1, 2, 3, 4, 5])
>>> s.rolling(3).sum()
0     NaN
1     NaN
2     6.0
3     9.0
4    12.0
dtype: float64
>>> s.expanding(3).sum()
0     NaN
1     NaN
2     6.0
3    10.0
4    15.0
dtype: float64
>>> s.rolling(3, center=True).sum()
0     NaN
1     6.0
2     9.0
3    12.0
4     NaN
dtype: float64

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

Errors found:
        No extended summary found
        Errors in parameters section
                Parameters {'args', 'kwargs'} not documented
                Unknown parameters {'*args', '**kwargs'}
                Parameter "*args" has no type
                Parameter "**kwargs" has no type


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.

Returns
-------
Series or DataFrame
Like-indexed object containing the result of function application
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Period at end

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Done.

3 10.0
4 15.0
dtype: float64
>>> s.rolling(3, center=True).sum()
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I think this is a great example, but maybe add one line or comment for what to expect with center=True

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Thank you. I have added one line of explanation stating that how this argument helps.

--------
Series.%(name)s : Calling object with Series data
DataFrame.%(name)s : Calling object with DataFrame data
Series.sum : Equivalent method for Series
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Whitespace seems off on this line and below - are there more than one before the ":"?

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yup. Deleted.

@jreback jreback added the Reshaping Concat, Merge/Join, Stack/Unstack, Explode label Mar 11, 2018
3 9.0
4 12.0
dtype: float64
>>> s.expanding(3).sum()
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blank line between cases

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I have added one line for each case.

@@ -639,7 +684,7 @@ def aggregate(self, arg, *args, **kwargs):
agg = aggregate

@Substitution(name='window')
@Appender(_doc_template)
# @Appender(_doc_template)
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don't comment, simply remove

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Your comments are valuable and I have deleted necessary code.

Changes to the pandas.core.window.x.sum docstring
@pep8speaks
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pep8speaks commented Mar 11, 2018

Hello @apallekonda! Thanks for updating the PR.

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

Comment last updated on March 14, 2018 at 19:29 Hours UTC

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Added or deleted necessary code as per comments.

@@ -639,7 +684,7 @@ def aggregate(self, arg, *args, **kwargs):
agg = aggregate

@Substitution(name='window')
@Appender(_doc_template)
# @Appender(_doc_template)
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Your comments are valuable and I have deleted necessary code.

3 10.0
4 15.0
dtype: float64
>>> s.rolling(3, center=True).sum()
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Thank you. I have added one line of explanation stating that how this argument helps.

3 9.0
4 12.0
dtype: float64
>>> s.expanding(3).sum()
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I have added one line for each case.

--------
Series.%(name)s : Calling object with Series data
DataFrame.%(name)s : Calling object with DataFrame data
Series.sum : Equivalent method for Series
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yup. Deleted.

Returns
-------
Series or DataFrame
Like-indexed object containing the result of function application
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Done.

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codecov bot commented Mar 14, 2018

Codecov Report

❗ No coverage uploaded for pull request base (master@c124e47). Click here to learn what that means.
The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff            @@
##             master   #20272   +/-   ##
=========================================
  Coverage          ?    91.7%           
=========================================
  Files             ?      150           
  Lines             ?    49165           
  Branches          ?        0           
=========================================
  Hits              ?    45087           
  Misses            ?     4078           
  Partials          ?        0
Flag Coverage Δ
#multiple 90.09% <ø> (?)
#single 41.86% <ø> (?)
Impacted Files Coverage Δ
pandas/core/window.py 96.32% <ø> (ø)

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@TomAugspurger TomAugspurger added this to the 0.23.0 milestone Mar 14, 2018
[ci skip]
@TomAugspurger TomAugspurger merged commit 002796a into pandas-dev:master Mar 14, 2018
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Thanks @apallekonda !

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6 participants