Làm thế nào để bạn sử dụng chức năng bình thường trong python?
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()
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
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. Ghi chú. Vui lòng viết bình luận nếu bạn thấy bất cứ điều gì không chính xác hoặc bạn muốn chia sẻ thêm thông tin về chủ đề thảo luận ở trên Làm thế nào để bình thường ngẫu nhiên làm việc?Hoạt động của hàm normal() ngẫu nhiên NumPy
. generates a random sample of the numbers of specified size, loc, and scale from the normal distribution and return as an array of dimensional specified in size.
NP ngẫu nhiên bình thường () là gì?np. ngẫu nhiên. normal(1) Mã này sẽ tạo ra một số duy nhất được rút ra từ phân phối chuẩn với giá trị trung bình là 0 và độ lệch chuẩn là 1 . |