Hướng dẫn write a python program to sum and compute the product of a numpy array elements. - viết một chương trình python để tính tổng và tính tích của một phần tử mảng numpy.
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Viết một chương trình Numpy để tổng hợp và tính toán sản phẩm của một phần tử mảng Numpy. Trình bày bằng hình ảnh: Giải pháp mẫu:-:- Mã Python: Đầu ra mẫu: Trình chỉnh sửa mã Python-Numpy: Có một cách khác để giải quyết giải pháp này? Đóng góp mã của bạn (và nhận xét) thông qua Disqus. Trước: Viết một chương trình Numpy để chuyển đổi dữ liệu thô trong một mảng thành chuỗi nhị phân và sau đó tạo một mảng. Write a NumPy program to convert the raw data in an array to a binary string and then create an array. Mức độ khó của bài tập này là gì? Kiểm tra kỹ năng lập trình của bạn với bài kiểm tra của W3Resource. Python: Lời khuyên trong ngàyCấu trúc Dict được đặt hàng (một lớp từ điển giữ thứ tự): >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []
Phương pháp 2: Sử dụng tổng chức năng tích hợp (). Python cung cấp một tổng số hàm sẵn () tổng hợp các số trong danh sách. Có thể lặp lại: Có thể là bất cứ thứ gì danh sách, bộ dữ liệu hoặc từ điển, nhưng quan trọng nhất là nó nên được đánh số. Làm cách nào để tổng hợp hai mảng numpy?Để thêm hai mảng với nhau, chúng tôi sẽ sử dụng phương thức Numpy.ADD (ARR1, ARR2). Để sử dụng phương pháp này, bạn phải đảm bảo rằng hai mảng có cùng chiều dài. Nếu độ dài của hai mảng không giống nhau, thì hãy phát kích thước của mảng ngắn hơn bằng cách thêm số 0 tại các chỉ mục bổ sung. Bạn nhận được gì nếu bạn áp dụng Numpy Sum () vào danh sách chỉ chứa các giá trị Boolean?numpy.sum()
Example: Python3
Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.00 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.04 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.07 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.09 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1____22221 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []4 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []5 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []6 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1__28____21__21 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]4 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]7 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]8 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]9 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 ‘ Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]7 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]8 Initialised array [[1 2 3] [4 5 6]] [ 6 120] [ 4 10 18] 720 [720] [720] with axis parameter [[ 4 10 18]] [[ 6] [120]] without axis parameter [[720]] using initial parameter in sum function 7200 using where parameter [4 1 1]5 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Initialised array [[1 2 3] [4 5 6]] [ 6 120] [ 4 10 18] 720 [720] [720] with axis parameter [[ 4 10 18]] [[ 6] [120]] without axis parameter [[720]] using initial parameter in sum function 7200 using where parameter [4 1 1]7 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Initialised array [[1 2 3] [4 5 6]] [ 6 120] [ 4 10 18] 720 [720] [720] with axis parameter [[ 4 10 18]] [[ 6] [120]] without axis parameter [[720]] using initial parameter in sum function 7200 using where parameter [4 1 1]9 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]9 Initialised array original array [[1 2 3] [4 5 6]] [ 1 2 6 24 120 720] [[ 1 2 6] [ 4 20 120]] [[1 2 6] [4 20 120]]1 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]7 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]8 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]9 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 Initialised array original array [[1 2 3] [4 5 6]] [ 1 2 6 24 120 720] [[ 1 2 6] [ 4 20 120]] [[1 2 6] [4 20 120]]9 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 import1Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 import4Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 import8Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]7 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]8 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]9 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]9 numpy as np7Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 numpy as np9Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]7 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]8 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]9 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 numpy as np7Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 numpy as np9Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.005 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]7 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]8 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.011 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 numpy as np9Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.018 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]7 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]8 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.024 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.026 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.031 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]7 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]8 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]9 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]9 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.040 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.042 numpy as np9>>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.045 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.045 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.048 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.049 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.050 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.053 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.054 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.056 Output: Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0] Lưu ý: Sử dụng numpy.sum trên các phần tử mảng bao gồm không phải là một số (nans) các phần tử gây ra lỗi, để tránh điều này, chúng tôi sử dụng numpy.nansum () Các tham số tương tự như cái trước ngoại trừ cái sau không hỗ trợ ở đâu và ban đầu.using numpy.sum on array elements consisting Not a Number (NaNs) elements gives an error, To avoid this we use numpy.nansum() the parameters are similar to the former except the latter doesn’t support where and initial. Phương pháp số 2: Sử dụng numpy.cumsum ()numpy.cumsum() Trả về tổng tích lũy của các phần tử trong mảng đã cho.
Example: Python3
Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.00 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.04 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.07 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.09 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1____22221 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []4 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []5 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []6 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1__28____21__21 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.085 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]4 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.092 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.095 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Initialised array [[1 2 3] [4 5 6]] [ 6 120] [ 4 10 18] 720 [720] [720] with axis parameter [[ 4 10 18]] [[ 6] [120]] without axis parameter [[720]] using initial parameter in sum function 7200 using where parameter [4 1 1]7 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.09 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03____21 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []5 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03__ Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []16 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 Initialised array original array [[1 2 3] [4 5 6]] [ 1 2 6 24 120 720] [[ 1 2 6] [ 4 20 120]] [[1 2 6] [4 20 120]]9 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []21 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 import4Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.049 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.050 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.053 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.054 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.056 Output: Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]] Sản phẩm của mảng numpySản phẩm của các mảng numpy có thể đạt được theo các cách sau & nbsp; Phương thức số 1: & nbsp; sử dụng numpy.prod ()numpy.prod()
Example: Python3
Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.00 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.04 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.07 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.09 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1____22221 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []4 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []5 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []6 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1__28____21__21 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]4 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Initialised array [[1 2 3] [4 5 6]] [ 6 120] [ 4 10 18] 720 [720] [720] with axis parameter [[ 4 10 18]] [[ 6] [120]] without axis parameter [[720]] using initial parameter in sum function 7200 using where parameter [4 1 1]7 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.09 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03____21 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []5 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03__ Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []63 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]9 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []75 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 import4Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []63 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 Initialised array original array [[1 2 3] [4 5 6]] [ 1 2 6 24 120 720] [[ 1 2 6] [ 4 20 120]] [[1 2 6] [4 20 120]]9 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 import1Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 import4Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 import8Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []63 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]9 numpy as np7Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 numpy as np9Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []63 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 numpy as np7Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 numpy as np9Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.005 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]23 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 numpy as np9Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.018 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]34 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]36 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.031 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []63 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]9 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.040 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.042 numpy as np9>>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.045 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.045 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.048 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.049 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.050 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.053 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.054 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.056 Output: Initialised array [[1 2 3] [4 5 6]] [ 6 120] [ 4 10 18] 720 [720] [720] with axis parameter [[ 4 10 18]] [[ 6] [120]] without axis parameter [[720]] using initial parameter in sum function 7200 using where parameter [4 1 1] Sản phẩm của mảng numpynumpy.cumprod() Sản phẩm của các mảng numpy có thể đạt được theo các cách sau & nbsp;
Python3
Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.00 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.04 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.07 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.09 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1____22221 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []4 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []5 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []6 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1__28____21__21 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.085 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.05 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array [[1 2 3] [4 5 6]] [ 6 15] [5 7 9] 21 [21] [21] with axis parameter [[5 7 9]] [[ 6] [15]] without axis parameter [[21]] using initial parameter in sum function 121 using where parameter [5 0 0]4 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]00 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]03 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]2 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Initialised array [[1 2 3] [4 5 6]] [ 6 120] [ 4 10 18] 720 [720] [720] with axis parameter [[ 4 10 18]] [[ 6] [120]] without axis parameter [[720]] using initial parameter in sum function 7200 using where parameter [4 1 1]7 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.09 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []1 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03____21 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []5 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []03__ Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Initialised array original array [[1 2 3] [4 5 6]] [ 1 3 6 10 15 21] [[ 1 3 6] [ 4 9 15]] [[1 3 6] [4 9 15]]24 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []0 Initialised array original array [[1 2 3] [4 5 6]] [ 1 2 6 24 120 720] [[ 1 2 6] [ 4 20 120]] [[1 2 6] [4 20 120]]9 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 >>> import collections >>> m = collections.defaultdict(int) >>> m['a'] 0 >>> m = collections.defaultdict(str) >>> m['a'] '' >>> m['b'] += 'a' >>> m['b'] 'a' >>> m = collections.defaultdict(lambda: '[default value]') >>> m['a'] '[default value]' >>> m['b'] '[default value]' >>> m = collections.defaultdict(list) >>> m['a'] []21 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.02 import4Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.049 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.050 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.08 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.053 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.054 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.01 Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements: 6000.056 Output: Initialised array original array [[1 2 3] [4 5 6]] [ 1 2 6 24 120 720] [[ 1 2 6] [ 4 20 120]] [[1 2 6] [4 20 120]] Làm thế nào để bạn tính tổng của tất cả các phần tử trong một mảng numpy?SUM () trong Python. numpy.sum (mảng, trục, dtype, out): hàm này trả về tổng các phần tử mảng trên trục được chỉ định.numpy. sum(arr, axis, dtype, out) : This function returns the sum of array elements over the specified axis.
Làm thế nào để bạn tổng hợp một mảng các phần tử trong Python?Phương pháp 2: Sử dụng tổng chức năng tích hợp ().Python cung cấp một tổng số hàm sẵn () tổng hợp các số trong danh sách.Có thể lặp lại: Có thể là bất cứ thứ gì danh sách, bộ dữ liệu hoặc từ điển, nhưng quan trọng nhất là nó nên được đánh số.Using the built-in function sum(). Python provides an inbuilt function sum() which sums up the numbers in the list. iterable: iterable can be anything list, tuples or dictionaries, but most importantly it should be numbered.
Làm cách nào để tổng hợp hai mảng numpy?Để thêm hai mảng với nhau, chúng tôi sẽ sử dụng phương thức Numpy.ADD (ARR1, ARR2).Để sử dụng phương pháp này, bạn phải đảm bảo rằng hai mảng có cùng chiều dài.Nếu độ dài của hai mảng không giống nhau, thì hãy phát kích thước của mảng ngắn hơn bằng cách thêm số 0 tại các chỉ mục bổ sung.numpy. add(arr1,arr2) method. In order to use this method, you have to make sure that the two arrays have the same length. If the lengths of the two arrays are not the same, then broadcast the size of the shorter array by adding zero's at extra indexes.
Bạn nhận được gì nếu bạn áp dụng Numpy Sum () vào danh sách chỉ chứa các giá trị Boolean?Sum nhận được một mảng booleans làm đối số của nó, nó sẽ tổng hợp từng phần tử (đếm đúng là 1 và sai là 0) và trả về kết quả.Ví dụ NP.SUM ([Đúng, Đúng, Sai]) sẽ xuất hiện 2 :) Hy vọng điều này sẽ giúp.sum each element (count True as 1 and False as 0) and return the outcome. for instance np. sum([True, True, False]) will output 2 :) Hope this helps. |
