x=5 #assigns the value 5 to the variable x x+=1 #statement adds 1 to x (is equivalent to x=x+1) x-=1 #statement subtracts 1 from x (is equivalent to x=x-1) x*=2 #multiplies x by 2(is equivalent to x=x*2) x%=3 #equivalent to x=x%3, returns remainder x/=3 #equ...
This function returns the reciprocal of argument, element-wise. For elements with absolute values larger than 1, the result is always 0 because of the way in which Python handles integer division. For integer 0, an overflow warning is issued. # To perform Reciprocal operation arr1 = np.array...
数组计算基本数学计算函数会对数组中元素逐个进行计算,既可以利用操作符重载,也可以使用函数方式: import numpy as np x = np.array([[1,2],[3,4]], dtype=np.float64) y = np.array([[5,6],[7,8]], dtype=np.float64) # Elementwise sum; both produce the array # [[ 6.0 8.0] # [10.0...
6],[7,8]], dtype=np.float64) # Elementwise sum; both produce the array # [[ 6.0 8.0] # [10.0 12.0]] print(x + y) print(np.add(x, y)) # Elementwise difference; both produce the array # [[-4.0 -4.0] # [-4.0 -4.0]] print(x - y) print(np.subtract(x,...
"" 3 if subtract: 4 return num_1 - num_2 5 else: 6 return num_1 + num_2 In this code, you are defining a function called add_or_subtract() that has three arguments: num_1, num_2, and subtract. In the function definition, you can see the two types of arguments. The first ...
# Elementwise sum; both produce the array # [[ 6.0 8.0] # [10.0 12.0]] print x + y print np.add(x, y) # Elementwise difference; both produce the array # [[-4.0 -4.0] # [-4.0 -4.0]] print x - y print np.subtract(x, y) ...
Thedot()function computes the dot product betweenList1andList2, representing the sum of the element-wise products of the two lists. Thenorm()function calculates a vector’s Euclidean norm or magnitude. The formuladot(List1, List2)numerator calculates the dot product of the two lists. The den...
subtract(x, y)) # Elementwise product; both produce the array # [[ 5.0 12.0] # [21.0 32.0]] print(x * y) print(np.multiply(x, y)) # Elementwise division; both produce the array # [[ 0.2 0.33333333] # [ 0.42857143 0.5 ]] print(x / y) print(np.divide(x, y)) # Element...
subtract Subtract elements in second array from first array multiply Multiply array elements divide, floor_divide Divide or floor divide (truncating the remainder) power Raise elements in first array to powers indicated in second array maximum, fmax Element-wise maximum. fmax ignores NaN minimum, fmi...
Before performing the Fourier transform of the wave amplitudes, you subtract the mean value, often referred to as the DC bias, which is the non-varying part of the signal representing the zero-frequency term in the Fourier transform. Additionally, you apply a window function to smooth out the...