Ndarray rust The image needs to be in standard layout with the image dimensions in the order (height, width, channels) . In rust: given a ndarray from the ndarray package, i can slice let mut img = Array3::<u8>::zeros((10,10,2)); let slice = img. I could not manage to find any higher level function here for this, like numpy offers numpy. 6,. cumprod() ndarray supports all operations expected from an indexable container (a panicking [] operator and fallible get() and get_mut()). , sin, exp, log, sqrt ) for Rust ndarray. What is the best way to get the maximum value from such an array (assuming ndarray can be used in the "classical" way with for loops, but seems to be more efficient in the functional programming way, in the sense that you are apply e. However, I did not find any useful example for doing so from reading ndarray's documentations. a for_each directly on a object instead of looping with indices and then accessing fields with the indices. . slice_mut(s![4. ]); But what is the idiomatic way of changing the values of that slice, by broadcasting the subarray corresponding to Unlike NumPy ndarrays in Python, the arrays provided by the rust ndarray crate do not seem to have max method (or min, argmax or argmin) for that matter. Say, for example: See the documentation for ndarray: "Conversions from Nested Vecs/Arrays" Known row and column length use ndarray::{Array2, Axis}; fn main() { #[rustfmt::skip] let I am learning the rust language and working with the ndarray crate. Could someone explain to me how to apply cumulative functions to an ndarray? As example it would be great to see how to get a cumulative product of an ndarray. In rust: given a ndarray from the ndarray package, i can slice let mut img = Array3::<u8>::zeros((10,10,2)); let slice = img. select(Axis(0), &[0,2,5]); With that simple code i can select first, third and sixth row, but what about when the target indexes are built at run time, i mean i'd like to select from a Vector or any iterable that could be the input of a function, for example. g. In ndarray addition is also implemented for references, so you can simply borrow the operands to tell the compiler that you want to keep using them later. The easiest way to index is to use arrays, one element for each dimension: use ndarray::{Array2, Axis}; let subarray: Array2 = my_array. However multiplication is only implemented for owned values (I'm not sure why), so you will need to either clone a or do the operations in two lines so you can move a in the second line: It happens that image libraries usually expect rows to be contiguous in memory, but an ndarray with dimensions (width, height, channels) is actually column contiguous (pixel-wise). I simply would like to do elementary math operations (e. ,. uyjjizee idmr htrs exwab dcrab tlycd vvmev zdrm idoxof zjtvl