Introduction to SciPy

tags: #python #python/statistic_modules

Getting started with scipy library

scipy is a library built on top of numpy to perform statistical computations (i.e., hypothesis testing, statistical significance, t-tests).

I. Installing scipy

pip install scipy

II. Importing scipy

Once SciPy is installed, import the SciPy module(s) you want to use in your applications by adding the from scipy import <module> statement:

from scipy import <module> # stats, constants

Scipy Modules

1. SciPy Statistical Significance Tests

SciPy provides us with a module called scipy.stats, which has functions for performing statistical significance tests.

This module also contains a large number of probability distributions, summary and frequency statistics, correlation functions

• Common library used for data science.

We can selectively import the stats module using the following command:

from scipy import stats

Alternatively, we can selectively import specific tests:

from scipy.stats import ttest_ind #two-sample t-test

• See list of statistical test available with the scipy library

2. SciPy Constants

SciPy also provides many built-in scientific constants.

These constants can be helpful when you are working with Data Science.

To import:

from scipy import constants

Example:

# importing pi
from scipy import constants
print(constants.pi)

3.141592653589793