定义:列表就是用中括号包围、逗号隔开的任何东西(称作元素element),没有数量,长度限制。用中括号[]加序号访问列表元素的方法就是索引index,索引就是列表元素所在的位置,索引从0 而不是1 开始,第二个元素索引为1,第三个索引为2,依次类推。 列表元素访问 修改,添加 各种删除方法 列表切片读取内容 切片的含义就是...
importarray# create array objects, of type integerarr1=array.array('i',[1,2,3])arr2=array.array('i',[4,5,6])# print the arraysprint("arr1 is:",arr1)print("arr2 is:",arr2)# create a new array that contains all of the elements of both arrays# and print the resultarr3=arr...
import numpy as np a = 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 element of a is ...
>>> b = np.array([1, 2, 'a']) >>> b array(['1', '2', 'a'], dtype='<U21') 与我们可以创建多维 Python 列表的方式类似,NumPy 数组也支持相同的选项: >>> c = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) >>> c array([[1, 2, 3], [4, 5, 6], [7,...
Step 2: Specify the arguments that you require in the function. Separate these arguments using commas. Step 3: Write the expression that will execute and return the result. Example 1: With one argument Python 1 2 3 4 # creating lambda function square = lambda x: x * x print(square(4...
I’m first going to define my array z1. 我首先要定义我的数组z1。 And let’s put in a few elements in there– 1, 3, 5, 7, and 9, for example. 让我们把一些元素放进去,比如1,3,5,7和9。 I can then define a new array called z2, which is just z1 with one added to every...
Python中的numpy.square()用法详细介绍 numpy.square(arr, out = None, ufunc'square'):该数学函数可帮助用户计算数组中每个元素的平方值。 参数: arr : [array_like] Input array or object whose elements, we need to square. 返回: An array with square value of each array....
Calculate the root of the elements in the array: np.sqrt(arr) array([0. , 1. , 1.4142, 1.7321, 2. , 2.2361, 2.4495, 2.6458, 2.8284, 3. ]) Exponential function with natural constant e as the base: np.exp(arr) array([ 1. , 2.7183, 7.3891, 20.0855, 54.5982, 148.4132, ...
ediff1d(ary[, to_end, to_begin])The differences between consecutive elements of an array. gradient(f, *varargs, **kwargs)Return the gradient of an N-dimensional array. cross(a, b[, axisa, axisb, axisc, axis])Return the cross product of two (arrays of) vectors. trapz(y[, x, dx...
(change_y) snakeArray.append(head_of_Snake) if len(snakeArray) > snakeLength: del snakeArray[0] #deleting overflow of elements for eachPart in snakeArray[:-1]: if eachPart == head_of_Snake: gameFinish = True #when snake collides with own body drawSnake(pixel_size, snakeArray) game...