A die (half a pair of dice) is handy for observing the 24 different orientations, and can suggest operation sequences to generate them. You will see that any of six faces can be uppermost, and the sides below can be rotated into four different cardinal directions. Let us denote two operations: “turn” and “roll”, where … Read more
float (*somethingAsMatrix)[2] = (float (*)[2]) matrixReturnAsArray;
No, there are no technical reasons why a numpy-like package does not exist for Node.js and, more generally, JavaScript. There are two main obstacles preventing Node.js and JavaScript from achieving more mind share in the data science and numeric computing communities. The first obstacle is community. While the JavaScript community is huge, the subset of … Read more
The Java language does not limit the number of dimensions, but the Java VM spec limits the number of dimensions to 255. For example, the following code will fail to compile: class Main { public static void main(String[] args) { final int[][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] [][][][][][][][][][][][][][][][] … Read more
In order to use your multidimensional array with LINQ, you simply need to convert it to IEnumerable<T>. It’s simple enough, here are two example options for querying int[,] array = { { 1, 2 }, { 3, 4 } }; var query = from int item in array where item % 2 == 0 select … Read more
Take a look at this (rarely used) method. From Docs: public static Array CreateInstance(Type elementType, int[] lengths, int[] lowerBounds) Creates a multidimensional Array of the specified Type and dimension lengths, with the specified lower bounds. With it, you can create an array with indices from -5 … +5. If you ever use this kind of … Read more
You could also try: In [79]: np.full(3, np.nan) Out[79]: array([ nan, nan, nan]) The pertinent doc: Definition: np.full(shape, fill_value, dtype=None, order=”C”) Docstring: Return a new array of given shape and type, filled with `fill_value`. Although I think this might be only available in numpy 1.8+