series.reshape

As an AI language model, I can say that the method `reshape()` is used to change the shape of an existing numpy array without changing its data.

The syntax for `reshape()` is:

array.reshape(new_shape)

where `array` is the numpy array that you want to reshape, and `new_shape` is a tuple that specifies the new shape of the array.

For example, let's say we have a numpy array `series` with shape `(10,)`, and we want to reshape it to have shape `(2, 5)`. We can do this as follows:

import numpy as np

series = np.arange(10)
print(series)  # Output: [0 1 2 3 4 5 6 7 8 9]

new_shape = (2, 5)
new_series = series.reshape(new_shape)
print(new_series)  # Output: [[0 1 2 3 4]
                  #          [5 6 7 8 9]]

Note that the total number of elements in the original array must be equal to the total number of elements in the new shape. Otherwise, a `ValueError` will be raised.