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, tuples, tuples of lists, and ndarrays.
To convert a tuple into an array in Python:
- Using numpy.asarray() method
- 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, check the data type, 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 an 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 the same as the 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.