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DOC: update pandas/core/ops.py
docstring template to accept examples
#20246
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Original file line number | Diff line number | Diff line change |
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@@ -343,50 +343,93 @@ def _get_op_name(op, special): | |
# ----------------------------------------------------------------------------- | ||
# Docstring Generation and Templates | ||
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_add_doc_FRAME = """ | ||
>>> a = pd.DataFrame([1, 1, 1, np.nan], index=['a', 'b', 'c', 'd'], | ||
columns=['one']) | ||
>>> a | ||
one | ||
a 1.0 | ||
b 1.0 | ||
c 1.0 | ||
d NaN | ||
>>> b = pd.DataFrame(dict(one=[1, np.nan, 1, np.nan], | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. blank line between ases There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. @jreback I am about to put in a PR for one of the examples. Where should there be a blank line? Between what would be "cell" executions? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. @kurtiskerstein I think there should be only blank lines around "blocks" of code that you want to have appear together in one code block |
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two=[np.nan, 2, np.nan, 2]), | ||
index=['a', 'b', 'd', 'e']) | ||
>>> b | ||
one two | ||
a 1.0 NaN | ||
b NaN 2.0 | ||
d 1.0 NaN | ||
e NaN 2.0 | ||
>>> a.add(b, fill_value=0) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. could add some text here to indicate what the filling is doing |
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one two | ||
a 2.0 NaN | ||
b 1.0 2.0 | ||
c 1.0 NaN | ||
d 1.0 NaN | ||
e NaN 2.0 | ||
""" | ||
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_op_descriptions = { | ||
# Arithmetic Operators | ||
'add': {'op': '+', | ||
'desc': 'Addition', | ||
'reverse': 'radd'}, | ||
'reverse': 'radd', | ||
'df_examples': _add_doc_FRAME}, | ||
'sub': {'op': '-', | ||
'desc': 'Subtraction', | ||
'reverse': 'rsub'}, | ||
'reverse': 'rsub', | ||
'df_examples': None}, | ||
'mul': {'op': '*', | ||
'desc': 'Multiplication', | ||
'reverse': 'rmul'}, | ||
'reverse': 'rmul', | ||
'df_examples': None}, | ||
'mod': {'op': '%', | ||
'desc': 'Modulo', | ||
'reverse': 'rmod'}, | ||
'reverse': 'rmod', | ||
'df_examples': None}, | ||
'pow': {'op': '**', | ||
'desc': 'Exponential power', | ||
'reverse': 'rpow'}, | ||
'reverse': 'rpow', | ||
'df_examples': None}, | ||
'truediv': {'op': '/', | ||
'desc': 'Floating division', | ||
'reverse': 'rtruediv'}, | ||
'reverse': 'rtruediv', | ||
'df_examples': None}, | ||
'floordiv': {'op': '//', | ||
'desc': 'Integer division', | ||
'reverse': 'rfloordiv'}, | ||
'reverse': 'rfloordiv', | ||
'df_examples': None}, | ||
'divmod': {'op': 'divmod', | ||
'desc': 'Integer division and modulo', | ||
'reverse': None}, | ||
'reverse': None, | ||
'df_examples': None}, | ||
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# Comparison Operators | ||
'eq': {'op': '==', | ||
'desc': 'Equal to', | ||
'reverse': None}, | ||
'desc': 'Equal to', | ||
'reverse': None, | ||
'df_examples': None}, | ||
'ne': {'op': '!=', | ||
'desc': 'Not equal to', | ||
'reverse': None}, | ||
'desc': 'Not equal to', | ||
'reverse': None, | ||
'df_examples': None}, | ||
'lt': {'op': '<', | ||
'desc': 'Less than', | ||
'reverse': None}, | ||
'desc': 'Less than', | ||
'reverse': None, | ||
'df_examples': None}, | ||
'le': {'op': '<=', | ||
'desc': 'Less than or equal to', | ||
'reverse': None}, | ||
'desc': 'Less than or equal to', | ||
'reverse': None, | ||
'df_examples': None}, | ||
'gt': {'op': '>', | ||
'desc': 'Greater than', | ||
'reverse': None}, | ||
'desc': 'Greater than', | ||
'reverse': None, | ||
'df_examples': None}, | ||
'ge': {'op': '>=', | ||
'desc': 'Greater than or equal to', | ||
'reverse': None}} | ||
'desc': 'Greater than or equal to', | ||
'reverse': None, | ||
'df_examples': None}} | ||
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_op_names = list(_op_descriptions.keys()) | ||
for key in _op_names: | ||
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@@ -532,30 +575,7 @@ def _get_op_name(op, special): | |
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Examples | ||
-------- | ||
>>> a = pd.DataFrame([1, 1, 1, np.nan], index=['a', 'b', 'c', 'd'], | ||
columns=['one']) | ||
>>> a | ||
one | ||
a 1.0 | ||
b 1.0 | ||
c 1.0 | ||
d NaN | ||
>>> b = pd.DataFrame(dict(one=[1, np.nan, 1, np.nan], | ||
two=[np.nan, 2, np.nan, 2]), | ||
index=['a', 'b', 'd', 'e']) | ||
>>> b | ||
one two | ||
a 1.0 NaN | ||
b NaN 2.0 | ||
d 1.0 NaN | ||
e NaN 2.0 | ||
>>> a.add(b, fill_value=0) | ||
one two | ||
a 2.0 NaN | ||
b 1.0 2.0 | ||
c 1.0 NaN | ||
d 1.0 NaN | ||
e NaN 2.0 | ||
{df_examples} | ||
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See also | ||
-------- | ||
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@@ -622,14 +642,19 @@ def _make_flex_doc(op_name, typ): | |
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if typ == 'series': | ||
base_doc = _flex_doc_SERIES | ||
doc = base_doc.format(desc=op_desc['desc'], op_name=op_name, | ||
equiv=equiv, reverse=op_desc['reverse']) | ||
elif typ == 'dataframe': | ||
base_doc = _flex_doc_FRAME | ||
doc = base_doc.format(desc=op_desc['desc'], op_name=op_name, | ||
equiv=equiv, reverse=op_desc['reverse'], | ||
df_examples=op_desc['df_examples']) | ||
elif typ == 'panel': | ||
base_doc = _flex_doc_PANEL | ||
doc = base_doc.format(desc=op_desc['desc'], op_name=op_name, | ||
equiv=equiv, reverse=op_desc['reverse']) | ||
else: | ||
raise AssertionError('Invalid typ argument.') | ||
doc = base_doc.format(desc=op_desc['desc'], op_name=op_name, | ||
equiv=equiv, reverse=op_desc['reverse']) | ||
return doc | ||
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maybe use "example" in the name?