How to use Map In Python
The map is a function used to execute a function for each item in an Iterable i.e array.
Example:
Here, we first are importing Numpy and defining the 1d Array of Tuples. This Array contains a 0D Array i.e the tuples further using the Map function we are going through each item in the array, and converting them to an NDArray.The map object is being converted to a list array and then to an NDArray and the array is printed further at the last, we are checking that dimension of the resulting Array using the ndim property.
Python3
# importing Numpy import numpy as np # 1d Array of Tuple arr = [(1, 2, 3), ('Hi', 'Hello', 'Hey')] x = map(np.array, arr) # Changing map object to a list, then # to an NDarray x = np.array(list(x)) print(x) # Checking the Dimension of the Resulting # NDArray print(x.ndim) |
Output:
[['1' '2' '3'] ['Hi' 'Hello' 'Hey']] 2
How to convert 1D array of tuples to 2D Numpy array?
In this article, we will discuss how to convert a 1D array of tuples into a numpy array.
Example:
Input: [(1,2,3),(‘Hi’,’Hello’,’Hey’)]
Output: [[‘1’ ‘2’ ‘3’] [‘Hi’ ‘Hello’ ‘Hey’]] #NDArray
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