numpy logical_and reduce
numpy. logical_and (x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'logical_and'>¶. ,the result of iterating j over range(N_i) , cumulatively applying ufunc to each a[k_0, ..,k_i-1}, j, . For a one-dimensional array, reduce produces results equivalent ...
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 numpy logical_and reduce 相關參考資料
The sample of numpy.logical_and.reduce and array indexing - Qiita
X = np.asarray([[1.0, 0.0, 3.0, 8.0], [2.0, 0.0, 1.0, 1.0], [1.5, 2.5, 1.0, 0.0]]) n = 4 M = np.logical_and.reduce(np.mod(X, 1) == 0, axis=-1) print(M) M ... https://qiita.com numpy.logical_and — NumPy v1.13 Manual
numpy. logical_and (x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'logical_and'>¶. https://docs.scipy.org numpy.ufunc.reduce — NumPy v1.13 Manual
the result of iterating j over range(N_i) , cumulatively applying ufunc to each a[k_0, ..,k_i-1}, j, . For a one-dimensional array, reduce produces results equivalent ... https://docs.scipy.org numpy.logical_and — NumPy v1.14 Manual
numpy. logical_and (x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'logical_and'>¶. https://docs.scipy.org numpy.ufunc.reduce — NumPy v1.14 Manual - Numpy and Scipy ...
numpy.ufunc.reduce. Reduces a's dimension by one, by applying ufunc along one axis. For example, add.reduce() is equivalent to sum(). Axis or axes along which a reduction is performed. https://docs.scipy.org numpy.logical_and — NumPy v1.16 Manual
Parameters: x1, x2 : array_like. Input arrays. x1 and x2 must be of the same shape. out : ndarray, None, or tuple of ndarray and None, optional. A location into ... https://docs.scipy.org numpy.ufunc.reduce — NumPy v1.15 Manual
Then ufunc.reduce(a, axis=i)[k_0, ..,k_i-1}, k_i+1}, .., k_M-1}] = the result of iterating j over range(N_i), cumulatively applying ufunc to each a[k_0, ..,k_i-1}, j, ... https://docs.scipy.org Numpy `logical_or` for more than two arguments - Stack Overflow
https://stackoverflow.com numpy.ufunc.reduce — NumPy v1.16 Manual
numpy.ufunc.reduce. Reduces a's dimension by one, by applying ufunc along one axis. For example, add.reduce() is equivalent to sum(). Axis or axes along which a reduction is performed. https://docs.scipy.org |