{"id":115539,"date":"2020-07-17T19:27:24","date_gmt":"2020-07-17T19:27:24","guid":{"rendered":"https:\/\/blog.finxter.com\/?p=11000"},"modified":"2020-07-17T19:27:24","modified_gmt":"2020-07-17T19:27:24","slug":"numpy-polymulx","status":"publish","type":"post","link":"https:\/\/sickgaming.net\/blog\/2020\/07\/17\/numpy-polymulx\/","title":{"rendered":"NumPy polymulx()"},"content":{"rendered":"
numpy.polynomial.polynomial.polymulx(c)<\/pre>\n
The numpy.polymulx<\/a><\/code> function multiplies the polynomial c<\/code> with a value x<\/code> which is the independent variable.<\/p>\n
\n\n\n\n\n\n
Arguments<\/th>\nType<\/th>\nDescription<\/th>\n<\/tr>\n<\/thead>\n
c<\/strong><\/td>\narray_like or poly1d object<\/td>\nThe input polynomials to be multiplied<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
The following table shows the return value of the function:<\/p>\n
\n\n\n\n\n\n
<\/th>\nType<\/th>\nDescription<\/th>\n<\/tr>\n<\/thead>\n
Return Value<\/strong><\/strong><\/td>\nndarray or poly1d object<\/td>\nThe polynomial resulting from the multiplication of the inputs. If either inputs is a poly1d object, then the output is also a poly1d object. Otherwise, it is a 1D array of polynomial coefficients from highest to lowest degree.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
Let’s dive into some examples to show how the function is used in practice:<\/p>\n
Examples<\/h3>\n
\nimport numpy as np\nimport numpy.polynomial.polynomial as poly print(poly.polymulx([0]) == [0])\nprint(poly.polymulx([1]) == [0, 1])\nfor i in range(1, 5): ser = [0]*i + [1] tgt = [0]*(i + 1) + [1] print(poly.polymulx(ser) == tgt) '''\n[ True]\n[ True True]\n[ True True True]\n[ True True True True]\n[ True True True True True]\n[ True True True True True True] '''<\/pre>\n
This function is inspired from this <\/a>Github repository.<\/p>\n
Any master coder has a “hands-on” mentality with a bias towards action. Try it yourself—play with the function in the following interactive code shell:<\/p>\n