When we talking about data processing related to arrays and multiple dimensions, you will think of Numpy. This is because Numpy as an optimized library composed of C/C++ and Fortran, and its computational efficiency is very fast.
But even so, when we use different tools, sometimes we still have to convert the Numpy data format into Tuple and List in Python.
Convert Numpy into Tuple
If there is only one dimension:
import numpy as np
np_arr = np.array([1, 2, 3])
tuple_arr = tuple(np_arr)If it is a two-dimensional situation:
import numpy as np
np_arr = np.array([[1, 2], [3, 4]])
tuple_arr = tuple(map(tuple, np_arr))Convert Numpy into List
It is easier to convert Numpy data into List. In Numpy, there is a method of constructing conversion:
import numpy as np
np_arr = np.array([[1, 2], [3, 4]])
list_arr = np_arr.tolist()References
- https://stackoverflow.com/questions/10016352/convert-numpy-array-to-tuple
- https://www.journaldev.com/32797/python-convert-numpy-array-to-list