prayikta 0.3

Gaussian and Binomial distributions

Prayikta

By using Prayikta module you can calculate Gaussian distribution, Binomial Probability, pdf and can visualization of them.

Classes

• Gaussian Class
• Binomial Class

Gaussian Class

# Example Fuctions

  >>> from prayikta import Gaussian

  # It has two arguments mean and standard daviation default (mean = 0 and stdev = 1)

  >>> gaussian = Gaussian()
  >>> gaussian.mean
  >>> gaussian.stdev

  # Read data from file and calculate mean and standard deviation

  >>> gaussian.read_data_file('filename.txt')
  >>> gaussian.calculate_mean()
  >>> gaussian.calculate_stdev()

  # Plot histogram of data

  >>> gaussian.plot_histogram()

  # Calculate probability density function and visualise it.

  >>> gaussian.pdf() # takes one argument
  >>> gaussian.plot_histogram_pdf()


  # Add to gaussian functions

  >>> gaussian_a = Gaussian(25,0)
  >>> gaussian_b = Gaussian(5,2)
  >>> gaussian_c = gaussian_a + gaussian_b

Binomial Class

# Example Fuctions
  >>> from prayikta import Binomial

  # It takes two arguments mean and standard daviation default (probability = 0.5 and size = 20)

  >>> binomial = Binomial()
  >>> binomial.calculate_mean()
  >>> binomial.calculate_stdev()

  # Plot bar

  >>> binomial.plot_bar()

  # Calculate pdf and visualise it.

  >>> binomial.pdf() # takes one argument
  >>> binomial.plot_bar_pdf()

  # Add to binomial functions

  >>> binomial_a = Binomial(0.5,10)
  >>> binomial_b = Binomial(0.25,20)
  >>> binomial_c = binomial_a + binomial_b