Gaussian and Binomial distributions
Project description
aac-distributions package
This package provides the Gaussian and Binomial distribution classes.
- Gaussian - Gaussian distribution class for calculating and visualizing a Gaussian distribution.
Attributes:
mean (float) - representing the mean value of the distribution.
stdev (float) - representing the standard deviation of the distribution.
data_list (list of floats) - a list of floats extracted from the data file.
Methods:
calculate_mean() - Function to calculate the mean of the data set.
calculate_stdev() - Function to calculate the standard deviation of the data set.
plot_histogram() - Function to output a histogram of the instance variable data
using matplotlib pyplot library.
read_data_file(filename) - Function to read in data from a txt file.
The txt file should have one number (float) per line. The numbers are stored in the data attribute.
pdf(x) - Probability density function calculator for the Gaussian distribution.
Args:
x (float): point for calculating the probability density function
Returns:
float: probability density function output
plot_histogram_pdf(n_spaces) - Function to plot the normalized histogram of the data and a plot of
the probability density function along the same range
Args:
n_spaces (int): number of data points
Returns:
list: x values for the pdf plot
list: y values for the pdf plot
__add__(other) - Function to add together two Gaussian distributions
Args:
other (Gaussian): Gaussian instance
Returns:
Gaussian: Gaussian distribution
__repr__() - Function to output the characteristics of the Gaussian instance
- Binomial - Binomial distribution class for calculating and visualizing a Binomial distribution.
Attributes:
mean (float) representing the mean value of the distribution.
stdev (float) representing the standard deviation of the distribution.
data_list (list of floats) a list of floats to be extracted from the data file.
p (float) representing the probability of an event occurring.
n (int) number of trials.
Methods:
calculate_mean() - Function to calculate the mean of the Binomial distribution from p and n.
calculate_stdev() - Function to calculate the standard deviation of the Binomial distribution from p and n.
read_data_file(filename) - Function to read in data from a txt file.
The txt file should have one number (float) per line. The numbers are stored in the data attribute.
replace_stats_with_data() - Function to calculate p and n from the data set
Args:
None
Returns:
float: the p value
float: the n value
plot_bar() - Function to output a bar chart of the instance variable data using
matplotlib pyplot library.
pdf(k) - Probability density function calculator for the binomial distribution.
Args:
x (float): point for calculating the probability density function
Returns:
float: probability density function output
plot_bar_pdf() - Function that creates the bar chart that plots the pdf of the binomial distribution
Args:
None
Returns:
list: x values for the pdf plot
list: y values for the pdf plot
__add__(other) - Function to add together two Binomial distributions with equal p
Args:
other (Binomial): Binomial instance
Returns:
Binomial: Binomial distribution
__repr__() - Function to output the characteristics of the Binomial instance.
- Distribution - Generic distribution class for calculating and visualizing a probability distribution, from which Gaussian and Binary distributions inherit
Attributes:
mean (float) representing the mean value of the distribution.
stdev (float) representing the standard deviation of the distribution.
data_list (list of floats) a list of floats to be extracted from the data file.
Methods:
read_data_file(filename) - Function to read in data from a txt file.
The txt file should have one number (float) per line. The numbers are stored in the data attribute.
Files
- Generaldistribution.py -> contains the Distribution class, its attributes and methods being inherited by Gaussian and Binomial class.
- Gaussiandistribution.py -> contains the Gaussian class, its attributes and methods as described in aac-distributions package summary.
- Binomialdistribution.py -> contains the Binomial class, its attributes and methods as described in aac-distributions package summary.
Installation
-
Note: In init.py, notice that there's is a dot in front of the .py files when importing the Gaussian and Binomial classes.
-
This dot is required in Python 3.X, but if you are working in Python 2.X, you shouldn't need it.
-
The classes in this package make use of built-in Python libraries like: Math - provides access to mathematical functions matplotlib - provides data visualization and graphical plotting functionality
-
To install the package, type pip install aac-distributions
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aac_distributions-0.7.tar.gz
(5.5 kB
view details)
File details
Details for the file aac_distributions-0.7.tar.gz
.
File metadata
- Download URL: aac_distributions-0.7.tar.gz
- Upload date:
- Size: 5.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/3.7.0 pkginfo/1.8.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4910c972de75a84cb756299845ba6c5bf007198a14381b2331669e9b7b4c9f47 |
|
MD5 | 0ce8df0730cee2287e9f2f6f907243e9 |
|
BLAKE2b-256 | d210a703cd35b9a2f6faaa89a92204b8f9f62fe0af471c58c101028e65f805cf |