An array of booleans is returned. >>> from numpy import * >>> a = array([3,6,8,9]) >>> a == 6 array([False, True, False, False], dtype=bool) >>> a >= 7 array([False, False, True, True], dtype=bool) >>> a < 5 array([ True, False, False, False], dtype=bool...
bool_idx = (a >2)# Find the elements of a that are bigger than 2;# this returns a numpy array of Booleans of the same# shape as a, where each slot of bool_idx tells# whether that element of a is > 2.print(bool_idx)# Prints "[[False False]# [ True True]# [ True True]...
array([-2., 2.]) 比较 举例: # Using comparison operators will create boolean NumPy arrays z = np.array([1,2,3,4,5,6,7,8,9,10]) c = z <6 print(c) >>> [TrueTrueTrueTrueTrueFalseFalseFalseFalseFalse] 基本的统计 举例: #Statistics of ...
32, 33], [40, 41, 42, 43]]) >>> b[2, 3] 23 >>> b[0:5, 1] # each row in the second column of b array([ 1, 11, 21, 31, 41]) >>> b[:, 1] # equivalent to the previous example array([ 1, 11,
Numpy 是Python专门处理高维数组 (high dimensional array) 的计算的包,每次使用它遇到问题都会它的官网 (www.numpy.org). 去找答案。 在使用numpy之前,需要引进它,语法如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 importnumpy 这样你就可以用numpy里面所有的内置方法 (build-in methods) 了,比如求...
举个例子：import numpy as npa = np.array([[1,2], [3, 4], [5, 6]])bool_idx = (a > 2) # Find the elements of a that are bigger than 2; # this returns a numpy array of Booleans of the same # shape as a, where each slot of bool_idx tells # whether that ele...
>>> a = arange(12).reshape(3,4)>>> b = a > 4>>> b # b is a boolean with a's shapearray([[False, False, False, False], [False, True, True, True], [True, True, True, True]], dtype=bool)>>> a[b] # 1d array with the selected elementsarray([ 5, 6,...
/usr/bin/env/pythonimport sysfrom datetime import datetimeimport numpy as np"""This program demonstrates vector addition the Python way.Run from the command line as followspython vectorsum.py nwhere n is an integer that specifies the size of the vectors.The first vector to be added contains ...
array([[ 1.5, 2. , 3. ], [ 4. , 5. , 6. ]]) 数组类型可以在创建时显示指定 >>> c = array( [ [1,2], [3,4] ], dtype=complex ) >>> c array([[ 1.+0.j, 2.+0.j], [ 3.+0.j, 4.+0.j]]) 通常,数组的元素开始都是未知的,但是它的大小已知。因此,NumPy...
newshape : int or tuple of ints The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the array and remaining dimensions...