python-scipyHow do I use Python and SciPy to perform statistical analysis?
Python and SciPy can be used together to perform statistical analysis.
First, import the SciPy library and NumPy library for numerical computation:
import scipy
import numpy
Then, use the SciPy library to access statistical functions:
from scipy import stats
For example, to calculate the mean of a given array of numbers:
arr = [1, 2, 3, 4, 5]
mean = stats.mean(arr)
print(mean)
Output example
3.0
SciPy also provides functions for calculating variance, standard deviation, skewness, kurtosis, and many other statistical measures.
The following links provide further information about using Python and SciPy for statistical analysis:
More of Python Scipy
- How can I use Python and SciPy to find the zeros of a function?
- How do I use Scipy zeros in Python?
- How do I use Python Numpy to read and write Excel (.xlsx) files?
- 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 can I use Python and SciPy to apply a Hann window to a signal?
- How can I use Python and Numpy to zip files?
- How can I use Python and SciPy to perform a Short-Time Fourier Transform?
- How do I create a numpy array of zeros using Python?
- How do I use the scipy ttest_ind function in Python?
See more codes...