np random random 100 100 100 3
Return random floats in the half-open interval [0.0, 1.0). ... 5 * np.random.random_sample((3, 2)) - 5 array([[-3.99149989, -0.52338984], [-2.99091858, ... ,Return random floats in the half-open interval [0.0, 1.0). ... 5 * np.random.random_sample((3, 2)) - 5 array([[-3.99149989, -0.52338984], [-2.99091858, ... ,Return random floats in the half-open interval [0.0, 1.0). ... 5 * np.random.random_sample((3, 2)) - 5 array([[-3.99149989, -0.52338984], [-2.99091858, ... ,numpy.random. randint (low, high=None, size=None, dtype='l')¶ ... Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval ... np.random.randint(5, size=(2, 4)) array([[4, 0, 2, 1], [3, 2, ,Create an array of the given shape and populate it with random samples from a uniform ... np.random.rand(3,2) array([[ 0.14022471, 0.96360618], #random ... ,numpy.random. randint (low, high=None, size=None, dtype='l')¶ ... Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval ... np.random.randint(5, size=(2, 4)) array([[4, 0, 2, 1], [3, 2, ,For the first run, we threw 3 times 1, 4 times 2, etc. For the second, we threw ... np.random.multinomial(100, [1.0 / 3, 2.0 / 3]) # RIGHT array([38, 62]). not like: >>> ,Return random integers of type np.int from the “discrete uniform” distribution in ... The np.int type translates to the C long type used by Python 2 for “short” ... <type 'int'> >>> np.random.random_integers(5, size=(3,2)) array([[5
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 np random random 100 100 100 3 相關參考資料
numpy.random.random — NumPy v1.15 Manual - Numpy and Scipy ...
Return random floats in the half-open interval [0.0, 1.0). ... 5 * np.random.random_sample((3, 2)) - 5 array([[-3.99149989, -0.52338984], [-2.99091858, ... https://docs.scipy.org numpy.random.random — NumPy v1.13 Manual
Return random floats in the half-open interval [0.0, 1.0). ... 5 * np.random.random_sample((3, 2)) - 5 array([[-3.99149989, -0.52338984], [-2.99091858, ... https://docs.scipy.org numpy.random.random — NumPy v1.10 Manual
Return random floats in the half-open interval [0.0, 1.0). ... 5 * np.random.random_sample((3, 2)) - 5 array([[-3.99149989, -0.52338984], [-2.99091858, ... https://docs.scipy.org numpy.random.randint — NumPy v1.15 Manual - Numpy and Scipy ...
numpy.random. randint (low, high=None, size=None, dtype='l')¶ ... Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval ... np.rand... https://docs.scipy.org numpy.random.rand — NumPy v1.15 Manual
Create an array of the given shape and populate it with random samples from a uniform ... np.random.rand(3,2) array([[ 0.14022471, 0.96360618], #random ... https://docs.scipy.org numpy.random.randint — NumPy v1.13 Manual
numpy.random. randint (low, high=None, size=None, dtype='l')¶ ... Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval ... np.rand... https://docs.scipy.org numpy.random.multinomial — NumPy v1.15 Manual
For the first run, we threw 3 times 1, 4 times 2, etc. For the second, we threw ... np.random.multinomial(100, [1.0 / 3, 2.0 / 3]) # RIGHT array([38, 62]). not like: >>> https://docs.scipy.org numpy.random.random_integers — NumPy v1.15 Manual
Return random integers of type np.int from the “discrete uniform” distribution in ... The np.int type translates to the C long type used by Python 2 for “short” ... <type 'int'> >>... https://docs.scipy.org |