If the ndarray object is a structured array the fields of the array can be accessed by indexing the array with strings, dictionary-like. Indexing x['field-name'] returns a new view to the array, …

This page tackles common examples. For an in-depth look into indexing, refer to Indexing on ndarrays. Access specific/arbitrary rows and columns# Use Basic indexing features like Slicing …

Jun 22, 2021 · Indexing x['field-name'] returns a new view to the array, which is of the same shape as x (except when the field is a sub-array) but of data type x.dtype['field-name'] and contains …

Return an array representing the indices of a grid. Compute an array where the subarrays contain index values 0, 1, … varying only along the corresponding axis. Parameters: dimensions …

To get the indices of unique values in a NumPy array (an array of first index positions of unique values in the array), just pass the return_index argument in np.unique() as well as your array. …

Arrays support the iterator protocol and can be iterated over like Python lists. See the Indexing, slicing and iterating section in the Quickstart guide for basic usage and examples. The …

Jan 31, 2021 · Index arrays¶ NumPy arrays may be indexed with other arrays (or any other sequence- like object that can be converted to an array, such as lists, with the exception of …

There are 6 general mechanisms for creating arrays: Conversion from other Python structures (i.e. lists and tuples) Intrinsic NumPy array creation functions (e.g. arange, ones, zeros, etc.) …

One can index and assign to a structured array with a multi-field index, where the index is a list of field names.

unravel_index. Convert a flat index into an index tuple. take_along_axis. Apply np.expand_dims(index_array, axis) from argmax to an array as if by calling max.