In this tutorial, we will explore how to create an empty and a full Numpy array in Python, accompanied by several practical examples.
- NumPy (Numerical Python) is an open-source Python library widely utilized across various scientific and engineering disciplines.
- The NumPy API is extensively employed in Pandas, SciPy, Matplotlib, scikit-learn, scikit-image, and the majority of other data science and scientific Python packages.
- NumPy can be utilized to execute a broad range of mathematical operations on arrays.
creating an empty NumPy array in python
To create an empty NumPy array in python the following steps need to be achieved :
- First step we need to perform is to import the numpy package using the import statement.
- The empty() function in NumPy is used to create an array with a specified shape that is initialized with arbitrary values. The shape of this empty array is determined by the user.
import numpy as np
array1 = np.empty((2, 3))
print(array1)output:
[[6.93167257e-310 6.93171505e-310 6.93167256e-310] [6.93167256e-310 6.93167256e-310 6.93167256e-310]]
From the above code, the output that is generated are the random values that was allocated in the memory.
Creating a full NumPy array in python with example
Python’s numpy module offers a function called “numpy.full()”.
To create an full NumPy array in python the following steps need to be achieved :
- First step we need to perform is to import the numpy package using the import statement.
- A full NumPy array is an array where all the elements have the same predefined value. This is useful when you want to initialize an array with a specific value.
import numpy as np array_full = np.full((3, 3), 5) print(array_full)output:
We used the ‘np.full()’ function to create a 3×3 array filled with the value 5. Finally, we displayed the array using the ‘print()’ function.
[[5 5 5 5] [5 5 5 5] [5 5 5 5]]