astype() function is used to change the data type of a given array. This function takes data type as an argument in which you want to change array.
numpy.ndarray.astype(dtype)
dtype parameter is used to specify the data type in which you want to change the given Numpy array.
Example 1: Here, we will change the data type of array from int64 to float64.
import numpy as np
x = np.array([12, 24, 36, 48])
print('Array a:', x)
print('Data type of array a:', x.dtype)
x = x.astype('float64')
print('Data type of array a after calling astype():', x.dtype)
print('Array a:', x)
Output of the above program
Array a: [12 24 36 48] Data type of array a: int64 Data type of array a after calling astype(): float64 Array a: [12. 24. 36. 48.]
Example 2: In this example, we will change the data type of array from float64 to complex128
import numpy as np
x = np.array([1.2, 2.04, 36.65, 48])
print('Array a:', x)
print('Data type of array a:', x.dtype)
x = x.astype('complex128')
print('Data type of array a after calling astype():', x.dtype)
print('Array a:', x)
Output of the above program
Array a: [ 1.2 2.04 36.65 48. ] Data type of array a: float64 Data type of array a after calling astype(): complex128 Array a: [ 1.2 +0.j 2.04+0.j 36.65+0.j 48. +0.j]
