python-scipyHow do I calculate the variance with Python and NumPy?
To calculate the variance with Python and NumPy, you can use the var()
method. This method takes in an array of values and returns the variance of the values.
import numpy as np
data = [1, 2, 3, 4, 5]
variance = np.var(data)
print(variance)
Output example
2.5
The code above consists of four parts:
import numpy as np
: This imports the NumPy library which provides thevar()
method.data = [1, 2, 3, 4, 5]
: This creates an array of values.variance = np.var(data)
: This calculates the variance of the values in the array.print(variance)
: This prints the variance to the console.
For more information, see the NumPy documentation.
More of Python Scipy
- How do I create a 2D array of zeros using Python and NumPy?
- How can I use Python Scipy to zoom in on an image?
- How can I use Python and Numpy to parse XML data?
- How do I calculate a Jacobian matrix using Python and NumPy?
- How do I use Python XlsxWriter to write a NumPy array to an Excel file?
- How do I use Python Numpy to read and write Excel (.xlsx) files?
- How can I use Python and Numpy to zip files?
- How can I use Python and SciPy to find the zeros of a function?
- How can I use Python and SciPy to visualize data?
- How can I use the x.shape function in Python Numpy?
See more codes...