Type conversion in Numpy

NumpyTypeConversion.py

import numpy as np

linear_spaced_array = np.linspace(0, 60, 5)
print(linear_spaced_array)
# >>> [ 0. 15. 30. 45. 60.]

# What Type ?
print(linear_spaced_array.dtype)
# >>> float64

# Convert Float to Int :
int_linear_spaced_array = linear_spaced_array.astype(int)
print(int_linear_spaced_array)
# >>> [ 0 15 30 45 60]

print(int_linear_spaced_array.dtype)
# >>> int32


# You can also define the type upon array creation:

intLinSpace_array = np.linspace(0, 60, 5, dtype=np.uint8)
print(intLinSpace_array)
# >>> [ 0 15 30 45 60]
print(intLinSpace_array.dtype)
# >>> uint8