NumPy is a popular Python library for data science that provides powerful and efficient tools for manipulating arrays. Arrays are collections of data elements that have the same type and shape ...

Erfahren Sie, wie Sie mit NumPy, der beliebtesten Python-Bibliothek für Data Science, Arrays erstellen, indizieren, segmentieren, umformen und arithmetische Operationen ausführen.

When you call the Cython function in your Python code, send the entire NumPy array object as an argument for that function call. Perform all the iteration over the object in Cython .

Therefore, I want to know if there is a direct and efficient way to achieve the requirement: Converting a list composed of multiple multi-dimensional halffloat numpy arrays of different shapes into ...

A is an array. new_size is an array represents the shape of the new n-dimensional matrix. [new_size_1, new_size_2, ..., new_size_n] The shape have to be compatable. It will return the reshaped array.