distributions-gb001 1.0

Gaussian and binomial distributions

distributions_gb001

distributions_gb001 is a Python package for calculating and visualizing a Gaussian distribution and binomial distribution.

Description

What you can do with the package: for Gaussian distribution and binomial distribution

-   calculate mean and standard deviation.
-   calculate Probability density function
-   plot and visualize the normalized histogram of the data and a plot of the 
	probability density function along the same range or bar probability density function of a binomial distribution
-   add together two Gaussian or Binomial distributions

Installation

Use the package manager pip to install distributions_gb001.

pip install distributions_gb001

Dependency

• matplotlib (to visualize plotted histogram/bar)

pip install matplotlib

Usage

import distributions_gb001

**- without data file**

gaussian_one = distributions_gb001.Gaussian(22, 3)
binomial_one = distributions_gb001.Binomial(.9, 20)
gaussian_one.mean # returns 22
binomial_one.stdev # returns 1.3416407864998736
gaussian_one + gaussian_one # returns 'mean 44, standard deviation 4.242640687119285'

**- with data file**

gaussian_two = distributions_gb001.Gaussian()
gaussian_two.read_data_file("/home/myname/Desktop/numbers.txt")  # read in data from a txt file

gaussian_two.calculate_mean() # calculate mean
gaussian_two.mean # returns mean value

gaussian_two.calculate_stdev(sample=True)    # calculate standard deviation ...... 
"""note -sample (bool): whether the data represents a sample or population which is set to True as default""" 
gaussian_two.stdev # returns standard deviation value

gaussian_two.pdf(x) # returns Probability density function output
"""x (float): point for calculating the probability density function"""

gaussian_two.plot_histogram_pdf(n_spaces = 50) # visualize normalized histogram with your set spaces
"""n_spaces (int): number of data points which is set to 50 as default"""



binomial_two = distributions_gb001.Binomial()
binomial_two.read_data_file("/home/myname/Desktop/numbers_bin.txt") # read in data from a txt file

binomial_two.calculate_mean() # calculate mean
binomial_two.mean # returns mean value

binomial_two.calculate_stdev()    # calculate standard deviation ...... 
binomial_two.stdev # returns standard deviation value

binomial_two.replace_stats_with_data() # to get new mean and standard deviation from the data set
""" by default --- mean = 10.0
                   standard deviation = 2.23606797749979"""
binomial_two.mean # returns new mean value
binomial_two.stdev # returns new standard deviation value

binomial_two.pdf(k) # returns Probability density function output
"""k (integer): point for calculating the probability density function"""

binomial_two.plot_bar_pdf() # visualize normalized histogram with your set spaces
"""n_spaces (int): number of data points which is set to 50 as default"""


""""Note : make sure "matplotlib" is installed" to visualize""" 
""""Note : to provide GUI backend to show figures, make sure python Tkinter is installed - for linux/ubuntu --- sudo apt install python3-tk""" 

Author

Abeeb Ridwan Olumide

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT