python-scipyHow do I use the NumPy transpose function in Python?
The NumPy transpose function is used to transpose a given array in Python. Transposing an array means to exchange the rows and columns of the array. It can be used by passing the array into the transpose() function.
import numpy as np
arr = np.array([[1,2,3], [4,5,6]])
print("Original array:")
print(arr)
transposed_arr = np.transpose(arr)
print("Transposed array:")
print(transposed_arr)
Output example
Original array:
[[1 2 3]
[4 5 6]]
Transposed array:
[[1 4]
[2 5]
[3 6]]
The code above consists of the following parts:
- import numpy as np: imports the NumPy library into the program.
- arr = np.array([[1,2,3], [4,5,6]]): creates an array with two rows and three columns.
- print("Original array:"): prints the text "Original array:" to the console.
- print(arr): prints the original array to the console.
- transposed_arr = np.transpose(arr): transposes the array.
- print("Transposed array:"): prints the text "Transposed array:" to the console.
- print(transposed_arr): prints the transposed array to the console.
Helpful links
More of Python Scipy
- How do I use the trapz function in Python SciPy?
- How do I create a 2D array of zeros using Python and NumPy?
- How do I use Python XlsxWriter to write a NumPy array to an Excel file?
- How do I convert a Python numpy array to a list?
- How do I use the scipy ttest_ind function in Python?
- How do I calculate the mode using Python Scipy Stats?
- How can I use Python Scipy to generate random numbers?
- How do I convert a Python numpy.ndarray to a list?
- How can I use Python and SciPy to generate a uniform distribution?
- How can I use the Radial Basis Function (RBF) in Python with SciPy?
See more codes...