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 use the Python Scipy package?
- How do I create a 2D array of zeros using Python and NumPy?
- How do I create a zero matrix using Python and Numpy?
- How do I create a numpy array of zeros using Python?
- How can I use Python and SciPy to implement a quantum Monte Carlo simulation?
- How do I create an array of zeros with the same shape as an existing array using Python and NumPy?
- How do I use the scipy ttest_ind function in Python?
- How can I use Python and Numpy to zip files?
- How do I use Python and SciPy to perform principal component analysis?
- How do I calculate a Jacobian matrix using Python and NumPy?
See more codes...