What is reshape (- 1 1 in Python?
Reshape your data either using array. reshape(-1, 1) if your data has a single feature or array. reshape(1, -1) if it contains a single sample. We could change our Series into a NumPy array and then reshape it to have two dimensions.
How to reshape image using numpy?
reshape() function is used to change the shape of the numpy array without modifying the array data. To use this function, pass the array and the new shape to np. reshape() . The shape argument should be passed in the form either “tuple” or “int”.
What is reshape () function?
reshape() function allows us to reshape an array in Python. Reshaping basically means, changing the shape of an array. And the shape of an array is determined by the number of elements in each dimension. Reshaping allows us to add or remove dimensions in an array.