python-scipyHow do I join two arrays using Python and NumPy?
Joining two arrays using Python and NumPy can be done in several ways, depending on the desired result. One way is to use the np.concatenate() function. This function takes in an iterable of arrays and returns a single array with the elements from each array in the order they were provided.
For example:
import numpy as np
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
arr_joined = np.concatenate((arr1, arr2))
print(arr_joined)
Output example
[1 2 3 4 5 6]
The code above uses the np.concatenate() function to join two arrays, arr1 and arr2. The np.concatenate() function takes in an iterable of arrays and returns a single array with the elements from each array in the order they were provided. The output is a single array, arr_joined, containing the elements of arr1 and arr2 in the order they were provided.
Other ways of joining two arrays include using np.stack(), np.vstack(), and np.hstack().
Helpful links
More of Python Scipy
- How can I check if a certain version of Python is compatible with SciPy?
- How can I use Python Numpy to select elements from an array based on multiple conditions?
- How do I use the scipy ttest_ind function in Python?
- How do I use the NumPy transpose function in Python?
- How do I create a 2D array of zeros using Python and NumPy?
- How do I use Python Numpy to read and write Excel (.xlsx) files?
- How do I use Python and SciPy to write a WAV file?
- How can I use Python and SciPy to generate a uniform distribution?
- How do I use Python and SciPy to create a tutorial PDF?
- How can I use Python and SciPy to perform a Short-Time Fourier Transform?
See more codes...