Trong bài viết này, chúng ta sẽ xem xét sự khác biệt cơ bản giữa Numpy. ngẫu nhiên. phương thức rand[] và Numpy. ngẫu nhiên. chi tiết về phương thức normal[]
- Giới thiệu ngẫu nhiên. Đối với ngẫu nhiên chúng tôi đang lấy. rand[]
numpy. ngẫu nhiên. rand[d0, d1, …, dn].
tạo một mảng có hình dạng cụ thể và
điền vào đó các giá trị ngẫu nhiên.
Thông số.d0, d1, ..., dn : [int, optional] Dimension of the returned array we require, If no argument is given a single Python float is returned.
Trở về
Array of defined shape, filled with random values.
- Khoảng bình thường. Đối với ngẫu nhiên chúng tôi đang lấy. normal[]
numpy. ngẫu nhiên. bình thường [loc = 0. 0, tỷ lệ = 1. 0, kích thước = Không có]. tạo một mảng có hình dạng được chỉ định và lấp đầy nó bằng các giá trị ngẫu nhiên, đây thực sự là một phần của Phân phối bình thường [Gaussian]. Đây là Phân phối còn được gọi là Đường cong hình chuông vì hình dạng đặc trưng của nó.
Thông số.loc : [float or array_like]Mean of the distribution. scale : [float or array_like]Standard Derivation of the distribution. size : [int or int tuples]. Output shape given as [m, n, k] then m*n*k samples are drawn. If size is None[by default], then a single value is returned.
Trở về
Array of defined shape, filled with random values following normal distribution.
mã 1. Xây dựng ngẫu nhiên mảng 1D
Array of defined shape, filled with random values.33
Array of defined shape, filled with random values.34
Array of defined shape, filled with random values.35
Array of defined shape, filled with random values.0
Array of defined shape, filled with random values.1
Array of defined shape, filled with random values.35
Array of defined shape, filled with random values.3
Array of defined shape, filled with random values.4
Array of defined shape, filled with random values.5
Array of defined shape, filled with random values.6
Array of defined shape, filled with random values.7
Array of defined shape, filled with random values.8
Array of defined shape, filled with random values.9
loc : [float or array_like]Mean of the distribution. scale : [float or array_like]Standard Derivation of the distribution. size : [int or int tuples]. Output shape given as [m, n, k] then m*n*k samples are drawn. If size is None[by default], then a single value is returned.0____21
loc : [float or array_like]Mean of the distribution. scale : [float or array_like]Standard Derivation of the distribution. size : [int or int tuples]. Output shape given as [m, n, k] then m*n*k samples are drawn. If size is None[by default], then a single value is returned.2
đầu ra
Array of defined shape, filled with random values.6
mã 2. Xây dựng ngẫu nhiên mảng 1D theo Phân phối Gaussian
Array of defined shape, filled with random values.33
loc : [float or array_like]Mean of the distribution. scale : [float or array_like]Standard Derivation of the distribution. size : [int or int tuples]. Output shape given as [m, n, k] then m*n*k samples are drawn. If size is None[by default], then a single value is returned.4
Array of defined shape, filled with random values.35
Array of defined shape, filled with random values.0
Array of defined shape, filled with random values.1
Array of defined shape, filled with random values.35
Array of defined shape, filled with random values.3
Array of defined shape, filled with random values.4
Array of defined shape, filled with random values.5
Array of defined shape, filled with random values following normal distribution.2
Array of defined shape, filled with random values following normal distribution.3
Array of defined shape, filled with random values following normal distribution.4
Array of defined shape, filled with random values following normal distribution.5
Array of defined shape, filled with random values following normal distribution.4
Array of defined shape, filled with random values.7
Array of defined shape, filled with random values.8
Array of defined shape, filled with random values.9
loc : [float or array_like]Mean of the distribution. scale : [float or array_like]Standard Derivation of the distribution. size : [int or int tuples]. Output shape given as [m, n, k] then m*n*k samples are drawn. If size is None[by default], then a single value is returned.0____161
Array of defined shape, filled with random values.62
Array of defined shape, filled with random values.63____22
Array of defined shape, filled with random values.65
Array of defined shape, filled with random values.4
Array of defined shape, filled with random values.5
Array of defined shape, filled with random values following normal distribution.2
Array of defined shape, filled with random values following normal distribution.3
Array of defined shape, filled with random values following normal distribution.4
Array of defined shape, filled with random values following normal distribution.5
Array of defined shape, filled with random values.32
Array of defined shape, filled with random values.33
Array of defined shape, filled with random values following normal distribution.4
Array of defined shape, filled with random values.35
Array of defined shape, filled with random values following normal distribution.4
Array of defined shape, filled with random values.33
Array of defined shape, filled with random values.38
Array of defined shape, filled with random values.9
loc : [float or array_like]Mean of the distribution. scale : [float or array_like]Standard Derivation of the distribution. size : [int or int tuples]. Output shape given as [m, n, k] then m*n*k samples are drawn. If size is None[by default], then a single value is returned.0____521
Array of defined shape, filled with random values.62
Array of defined shape, filled with random values.63____22
đầu ra
Array of defined shape, filled with random values.3
mã3. Chương trình Python minh họa biểu diễn đồ họa của ngẫu nhiên so với bình thường trong NumPy
Array of defined shape, filled with random values.33
Array of defined shape, filled with random values.26
loc : [float or array_like]Mean of the distribution. scale : [float or array_like]Standard Derivation of the distribution. size : [int or int tuples]. Output shape given as [m, n, k] then m*n*k samples are drawn. If size is None[by default], then a single value is returned.4
Array of defined shape, filled with random values.34
Array of defined shape, filled with random values.35
Array of defined shape, filled with random values.0
Array of defined shape, filled with random values.1
Array of defined shape, filled with random values.0
Array of defined shape, filled with random values.333
Array of defined shape, filled with random values.35
Array of defined shape, filled with random values.335
Array of defined shape, filled with random values.336
Array of defined shape, filled with random values.5
Array of defined shape, filled with random values.338
Array of defined shape, filled with random values.339
Array of defined shape, filled with random values.5
Array of defined shape, filled with random values.341
Array of defined shape, filled with random values.4
Array of defined shape, filled with random values.5
Array of defined shape, filled with random values following normal distribution.2
Array of defined shape, filled with random values.338
Array of defined shape, filled with random values following normal distribution.4
Array of defined shape, filled with random values.341
Array of defined shape, filled with random values following normal distribution.4
Array of defined shape, filled with random values.349
Array of defined shape, filled with random values.8
Array of defined shape, filled with random values.9
loc : [float or array_like]Mean of the distribution. scale : [float or array_like]Standard Derivation of the distribution. size : [int or int tuples]. Output shape given as [m, n, k] then m*n*k samples are drawn. If size is None[by default], then a single value is returned.0____161
_______162____163____1356
Array of defined shape, filled with random values.357
Array of defined shape, filled with random values.358
Array of defined shape, filled with random values.359
Array of defined shape, filled with random values.00
Array of defined shape, filled with random values.01
Array of defined shape, filled with random values.5
Array of defined shape, filled with random values.03
Array of defined shape, filled with random values.04
Array of defined shape, filled with random values.05
Array of defined shape, filled with random values.5
Array of defined shape, filled with random values.07
Array of defined shape, filled with random values.8
Array of defined shape, filled with random values.09
Array of defined shape, filled with random values.35
Array of defined shape, filled with random values.11
Array of defined shape, filled with random values.12
Array of defined shape, filled with random values.13
Array of defined shape, filled with random values.14
Array of defined shape, filled with random values.33
Array of defined shape, filled with random values.13
Array of defined shape, filled with random values.17
Array of defined shape, filled with random values.13
Array of defined shape, filled with random values.19
Array of defined shape, filled with random values.20
Array of defined shape, filled with random values.21
Array of defined shape, filled with random values.22
Array of defined shape, filled with random values.21
Array of defined shape, filled with random values.24
Array of defined shape, filled with random values.13
Array of defined shape, filled with random values.13
Array of defined shape, filled with random values.33
Array of defined shape, filled with random values.11
loc : [float or array_like]Mean of the distribution. scale : [float or array_like]Standard Derivation of the distribution. size : [int or int tuples]. Output shape given as [m, n, k] then m*n*k samples are drawn. If size is None[by default], then a single value is returned.0
Array of defined shape, filled with random values.33
Array of defined shape, filled with random values.13
Array of defined shape, filled with random values.339
Array of defined shape, filled with random values.13
Array of defined shape, filled with random values.13
Array of defined shape, filled with random values.33
Array of defined shape, filled with random values.36
Array of defined shape, filled with random values.19
Array of defined shape, filled with random values.38
Array of defined shape, filled with random values.5______433
Array of defined shape, filled with random values.41
Array of defined shape, filled with random values.5
Array of defined shape, filled with random values.43
Array of defined shape, filled with random values.8
Array of defined shape, filled with random values.45
Array of defined shape, filled with random values.357
Array of defined shape, filled with random values.357
Array of defined shape, filled with random values.48
Array of defined shape, filled with random values.49
Array of defined shape, filled with random values.5
Array of defined shape, filled with random values.6
Array of defined shape, filled with random values.7
Array of defined shape, filled with random values.8
Array of defined shape, filled with random values.9
loc : [float or array_like]Mean of the distribution. scale : [float or array_like]Standard Derivation of the distribution. size : [int or int tuples]. Output shape given as [m, n, k] then m*n*k samples are drawn. If size is None[by default], then a single value is returned.0____21
Array of defined shape, filled with random values.57
Array of defined shape, filled with random values.357
Array of defined shape, filled with random values.59
Array of defined shape, filled with random values.45
đầu ra
Array of defined shape, filled with random values.2
Quan trọng.
Trong mã 3, ô 1 hiển thị rõ ràng Phân phối Gaussian khi nó được tạo từ các giá trị được tạo thông qua ngẫu nhiên. phương thức normal[] do đó tuân theo Phân phối Gaussian.
ô 2 không tuân theo bất kỳ phân phối nào vì nó đang được tạo từ các giá trị ngẫu nhiên được tạo ngẫu nhiên. phương thức rand[].
Ghi chú.
Mã 3 sẽ không chạy trên ID trực tuyến. Vui lòng chạy chúng trên hệ thống của bạn để khám phá hoạt động.
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