Sol*_*e G 6 python python-sphinx numpydoc sphinx-napoleon
我有一个开源包,在不同的子模块上有很多类。所有类都有方法fit和transform,并继承fit_transform自 sklearn。所有的类都遵循与副标题参数,属性,注释numpydoc,请参见,和方法的文档字符串,在这里我表fit,transform和fit_transform。我复制一个类的例子:
class DropFeatures(BaseEstimator, TransformerMixin):
"""
Some description.
Parameters
----------
features_to_drop : str or list, default=None
Variable(s) to be dropped from the dataframe
Methods
-------
fit
transform
fit_transform
"""
def __init__(self, features_to_drop: List[Union[str, int]]):
some init parameters
def fit(self, X: pd.DataFrame, y: pd.Series = None):
"""
This transformer does not learn any parameter.
Verifies that the input X is a pandas dataframe, and that the variables to
drop exist in the training dataframe.
Parameters
----------
X : pandas dataframe of shape = [n_samples, n_features]
The input dataframe
y : pandas Series, default = None
y is not needed for this transformer. You can pass y or None.
Returns
-------
self
"""
some functionality
return self
def transform(self, X: pd.DataFrame):
"""
Drop the variable or list of variables from the dataframe.
Parameters
----------
X : pandas dataframe
The input dataframe from which features will be dropped
Returns
-------
X_transformed : pandas dataframe,
shape = [n_samples, n_features - len(features_to_drop)]
The transformed dataframe with the remaining subset of variables.
"""
some more functionality
return X
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在 Sphinx 的 conf.py 中,我包括:
extensions = [
"sphinx.ext.autodoc", # Core Sphinx library for auto html doc generation from docstrings
"sphinx.ext.autosummary", # Create neat summary tables for modules/classes/methods etc
"sphinx.ext.intersphinx", # Link to other project's documentation (see mapping below)
"sphinx_autodoc_typehints", # Automatically document param types (less noise in class signature)
"numpydoc",
"sphinx.ext.linkcode",
]
numpydoc_show_class_members = False
# generate autosummary even if no references
autosummary_generate = True
autosummary_imported_members = True
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当我使用 构建文档时 sphinx-build -b html docs build,文档构建得非常好,但每个类都会收到 3 个警告,每个方法一个,即:
warning: autosummary: stub file not found for the methods of the class. check your autosummary_generate settings
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我已经用尽了我所有的搜索资源,我准备放弃了。有人知道如何防止该警告或如何使 sphinx 不将其打印到控制台吗?
我附上了错误的副本,如果需要,我可以提供指向回购的 PR 的链接

setup.py就我而言,文件夹中的以下添加doc删除了警告:
numpydoc_show_class_members = False
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添加方法将方法限制在固定列表中,这不是我想要的行为。
好吧,3天后,我钉了它。秘诀是在标题“方法”之后为文档字符串中的方法添加简短描述,而不是像我一样将它们留空。
所以:
class DropFeatures(BaseEstimator, TransformerMixin):
Some description.
Parameters
----------
features_to_drop : str or list, default=None
Variable(s) to be dropped from the dataframe
Methods
-------
fit:
some description
transform:
some description
fit_transform:
some description
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