![]() ![]() Just to have some clear understanding, let’s count calories in foods using a macro-nutrient breakdown. Suppose we want to apply some sort of scaling to all these data every parameter gets its own scaling factor or say Every parameter is multiplied by some factor. In Numpy we have a 2-D array, where each row is a datum and the number of rows is the size of the data set. ![]() Let’s assume that we have a large data set, each datum is a list of parameters. The term broadcasting refers to how numpy treats arrays with different Dimension during arithmetic operations which lead to certain constraints, the smaller array is broadcast across the larger array so that they have compatible shapes. ![]() Then, you can analyze it using any of Crystal Balls features.
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