How to Convert Python Tuple to Array

Python does not have a built-in array data type like other programming languages, but if you use a library like Numpy, you will create an array.

Python tuple to array

To convert Python tuple to array, use the np.asarray() function. The np.asarray() is a library function that converts input to an array. The input includes lists, tuples, tuples, a tuple of tuples, a tuple of lists, and ndarrays.

To convert a tuple into an array in Python:

1. Using numpy.asarray() method
2. Use numpy.array() method

If you have not installed numpy previously in your system, then to install numpy in your system, type the following command.

python3 -m pip install numpy

Example

import numpy as np

tup = (11, 21, 19, 18, 46, 29)
print(tup)
print(type(tup))

print("After converting Python tuple to array")

arr = np.asarray(tup)
print(arr)
print(type(arr))

Output

(11, 21, 19, 18, 46, 29)
<class 'tuple'>
After converting Python tuple to array
[11 21 19 18 46 29]
<class 'numpy.ndarray'>

In this example, we have imported the numpy module.

We then defined a tuple using the tuple() function. For example, to check the data type in Python, use the type() function.

We got the array in return by using the np.asarray() function and passing a tuple as an argument. If we check the data type of return value, it is a numpy array, which we wanted.

Convert a tuple of lists into an array

To convert a tuple of lists into an array, use the np.asarray() function and then flatten the array using the flatten() method to convert it into a one-dimensional array.

import numpy as np

tup = ([11, 21, 19], [18, 46, 29])

print("After converting Python tuple of lists to array")

arr = np.asarray(tup)
print(arr)

fla_arr = arr.flatten()
print(fla_arr)

Output

After converting Python tuple of lists to array
[[11 21 19]
 [18 46 29]]
[11 21 19 18 46 29]

The numpy.asarray() converts a tuple of lists to the array. Still, it will create a two-dimensional array, and to convert it into a one-dimensional array, use the array.flatten() method.

Using np.array() method to convert tuple to array

The numpy.array() method takes a Python object as an argument and returns an array. We will pass a tuple object to the np.array() function, converting that tuple to an array.

import numpy as np

tup = ([11, 21, 19], [18, 46, 29])

print("After converting Python tuple to array using np.array()")

arr = np.array(tup)
print(arr)

print("After flattening the array")
fla_arr = arr.flatten()
print(fla_arr)

Output

After converting Python tuple to array using np.array()
[[11 21 19]
 [18 46 29]]
After flattening the array
[11 21 19 18 46 29]

The np.array() function works almost same as np.asarray() and returns the converted array.

Assuming Python list as an array

If you don’t want to use a numpy array and make a list as an array, then use the list comprehension to convert a tuple to an array.

lt = []

tup1 = (11, 19, 21)
tup2 = (46, 18, 29)

lt.append(tup1)
lt.append(tup2)

arr = [x for xs in lt for x in xs]
print(arr)

Output

[11, 19, 21, 46, 18, 29]

That is it for this tutorial.

See also

Python tuple to dictionary

Python tuple to list

Python list to a tuple