The meaning of -1 in reshape () You can use -1 to specify the shape in reshape (). Take the reshape () method of numpy.ndarray as an example, but the same is true for the numpy.reshape () function. The length of the dimension set to -1 is automatically determined by inferring from the specified values of other dimensions.
The only difference between these functions is that dsplit allows indices_or_sections to be an integer that does not equally divide the axis. For an array of length l that should be split into n sections, it returns l % n sub-arrays of size l//n + 1 and the rest of size l//n. Syntax: numpy.dsplit(ary, indices_or_sections, axis=0) Version: 1.15.0
The numpy.reshape() and numpy.flatten() functions are used to change the shape of an array.In this tutorial, we will discuss how to implement them in your code. Using the reshape() method.The reshape method is used to convert an array from one shape, to another. For instance, an array of shape (1, 9) can be reshaped to an array of shape (3, 3).