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test
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Pythonで書かれた部分は、簡単に確認が可能です。
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動的リンクライブラリの形で提供されているC言語やアセンブラで書かれた部分は、別途ソースコードをダウンロードすれば確認できます。
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Pythonで書かれた部分の確認は以下のように行います。
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```python
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>>> print(numpy)
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また、Pythonで書かれた関数などはinspectモジュールをimportすれば、inspect.getsource関数を使ってソースを表示することが出来ます。
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少々長いですが以下のような感じです。
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```python
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>>> print(inspect.getsource(numpy.split))
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@array_function_dispatch(_split_dispatcher)
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def split(ary, indices_or_sections, axis=0):
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"""
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Split an array into multiple sub-arrays as views into `ary`.
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Parameters
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----------
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ary : ndarray
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Array to be divided into sub-arrays.
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indices_or_sections : int or 1-D array
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If `indices_or_sections` is an integer, N, the array will be divided
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into N equal arrays along `axis`. If such a split is not possible,
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an error is raised.
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If `indices_or_sections` is a 1-D array of sorted integers, the entries
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indicate where along `axis` the array is split. For example,
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``[2, 3]`` would, for ``axis=0``, result in
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- ary[:2]
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- ary[2:3]
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- ary[3:]
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If an index exceeds the dimension of the array along `axis`,
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an empty sub-array is returned correspondingly.
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axis : int, optional
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The axis along which to split, default is 0.
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Returns
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-------
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sub-arrays : list of ndarrays
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A list of sub-arrays as views into `ary`.
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Raises
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------
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ValueError
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If `indices_or_sections` is given as an integer, but
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a split does not result in equal division.
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See Also
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--------
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array_split : Split an array into multiple sub-arrays of equal or
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near-equal size. Does not raise an exception if
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an equal division cannot be made.
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hsplit : Split array into multiple sub-arrays horizontally (column-wise).
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vsplit : Split array into multiple sub-arrays vertically (row wise).
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dsplit : Split array into multiple sub-arrays along the 3rd axis (depth).
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concatenate : Join a sequence of arrays along an existing axis.
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stack : Join a sequence of arrays along a new axis.
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hstack : Stack arrays in sequence horizontally (column wise).
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vstack : Stack arrays in sequence vertically (row wise).
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dstack : Stack arrays in sequence depth wise (along third dimension).
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Examples
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--------
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>>> x = np.arange(9.0)
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>>> np.split(x, 3)
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[array([0., 1., 2.]), array([3., 4., 5.]), array([6., 7., 8.])]
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>>> x = np.arange(8.0)
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>>> np.split(x, [3, 5, 6, 10])
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[array([0., 1., 2.]),
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array([3., 4.]),
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array([5.]),
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array([6., 7.]),
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array([], dtype=float64)]
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"""
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try:
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len(indices_or_sections)
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except TypeError:
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sections = indices_or_sections
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N = ary.shape[axis]
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if N % sections:
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raise ValueError(
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'array split does not result in an equal division')
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return array_split(ary, indices_or_sections, axis)
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```
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また、上記の関数のdocstringの部分は以下を実行すれば表示することができます。
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```python
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print(numpy.split.__doc__)
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または
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help(numpy.split)
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```
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1
inspect.getsourceを追加
test
CHANGED
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@@ -14,4 +14,8 @@
|
|
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14
14
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15
15
|
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|
16
16
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|
17
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+
また、Pythonで書かれた関数などはinspectモジュールをimportすれば、inspect.getsource関数を使ってソースを表示することが出来ます。
|
|
18
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+
|
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19
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+
|
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20
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+
|
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17
21
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動的リンクライブラリの形で提供されているC言語やアセンブラで書かれた部分は、別途ソースコードをダウンロードすれば確認できます。
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