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author | rgommers <ralf.gommers@googlemail.com> | 2011-03-02 12:43:47 +0800 |
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committer | rgommers <ralf.gommers@googlemail.com> | 2011-03-02 13:23:48 +0800 |
commit | 4ca2465fe169576b46dee783dd0279cfd536d9c4 (patch) | |
tree | d682c1b79e51bb52dd5493337facf2afc5dbca76 /numpy/add_newdocs.py | |
parent | 7ef5d601b4fe281c797fa497c317861c7340e3ec (diff) | |
download | numpy-4ca2465fe169576b46dee783dd0279cfd536d9c4.tar.gz |
DOC: merge more doc wiki edits.
Diffstat (limited to 'numpy/add_newdocs.py')
-rw-r--r-- | numpy/add_newdocs.py | 14 |
1 files changed, 12 insertions, 2 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py index 5b65d9ce1..62e656346 100644 --- a/numpy/add_newdocs.py +++ b/numpy/add_newdocs.py @@ -2605,9 +2605,15 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('astype', Parameters ---------- - t : string or dtype + t : str or dtype Typecode or data-type to which the array is cast. + Raises + ------ + ComplexWarning : + When casting from complex to float or int. To avoid this, + one should use ``a.real.astype(t)``. + Examples -------- >>> x = np.array([1, 2, 2.5]) @@ -4297,8 +4303,9 @@ add_newdoc('numpy.lib._compiled_base', 'bincount', Input array. weights : array_like, optional Weights, array of the same shape as `x`. - minlength : integer, optional + minlength : int, optional .. versionadded:: 1.6.0 + A minimum number of bins for the output array. Returns @@ -4330,6 +4337,9 @@ add_newdoc('numpy.lib._compiled_base', 'bincount', >>> np.bincount(x).size == np.amax(x)+1 True + The input array needs to be of integer dtype, otherwise a + TypeError is raised: + >>> np.bincount(np.arange(5, dtype=np.float)) Traceback (most recent call last): File "<stdin>", line 1, in <module> |