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 do I create a 2D array of zeros using Python and NumPy?
- How can I use the x.shape function in Python Numpy?
- How do I use Python XlsxWriter to write a NumPy array to an Excel file?
- How can I use Python and Numpy to parse XML data?
- How can I use Python and SciPy to find the zeros of a function?
- How do I create a zero matrix using Python and Numpy?
- How can I use Python Scipy to zoom in on an image?
- How to use Python, XML-RPC, and NumPy together?
- How can I use Python SciPy to calculate the Hilbert transform?
- How do I use Scipy zeros in Python?
See more codes...