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...
sigma = np.std(X, axis=0) # sigma will have shape (n,) # element-wise, subtract mu for that column from each example, divide by std for that column #元素方面,从每个示例中减去该列的mu,除以该列的std X_norm = (X - mu) / sigma return (X_norm, mu, sigma) 1. 2. 3. 4. 5...
"" 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 ...
You also subtract the height of the frame containing the sliders from the height of the preview to avoid cropping the contained image. While the application displays the image that you specify on the command line after starting up, nothing seems to change when you move the sliders. It’s ...
Subtract a year from a datetime column in pandas What is the best way to sum all values in a pandas dataframe? How to access the last element in a pandas series? ImportError: No module named 'xlrd' Adding dummy columns to the original dataframe ...
Big DataData AnalysisData EngineeringData LiteracyData ScienceData VisualizationDeep LearningMachine Learning Browse Courses cheat-sheet SciPy Cheat Sheet: Linear Algebra in Python This Python cheat sheet is a handy reference with code samples for doing linear algebra with SciPy and interacting with NumPy...
(x, y) # Elementwise difference; both produce the array # [[-4.0 -4.0] # [-4.0 -4.0]] print x - y print np.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 ...
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...
but unless you have a good reason to use it, you should use the double equal instead. In the preceding code, I also used one nice function:zip. It is named after the real-life zip, which glues together two things taking one element from each at a time. Let me show you an example...