phitter.discrete package

Subpackages

• phitter.discrete.discrete_distributions package
  • Submodules
  • phitter.discrete.discrete_distributions.bernoulli module
    • Bernoulli
      • Bernoulli.cdf()
      • Bernoulli.central_moments()
      • Bernoulli.get_parameters()
      • Bernoulli.kurtosis
      • Bernoulli.mean
      • Bernoulli.median
      • Bernoulli.mode
      • Bernoulli.name
      • Bernoulli.non_central_moments()
      • Bernoulli.num_parameters
      • Bernoulli.parameter_restrictions()
      • Bernoulli.parameters_example
      • Bernoulli.pmf()
      • Bernoulli.ppf()
      • Bernoulli.sample()
      • Bernoulli.skewness
      • Bernoulli.standard_deviation
      • Bernoulli.variance
  • phitter.discrete.discrete_distributions.binomial module
    • Binomial
      • Binomial.cdf()
      • Binomial.central_moments()
      • Binomial.get_parameters()
      • Binomial.kurtosis
      • Binomial.mean
      • Binomial.median
      • Binomial.mode
      • Binomial.name
      • Binomial.non_central_moments()
      • Binomial.num_parameters
      • Binomial.parameter_restrictions()
      • Binomial.parameters_example
      • Binomial.pmf()
      • Binomial.ppf()
      • Binomial.sample()
      • Binomial.skewness
      • Binomial.standard_deviation
      • Binomial.variance
  • phitter.discrete.discrete_distributions.geometric module
    • Geometric
      • Geometric.cdf()
      • Geometric.central_moments()
      • Geometric.get_parameters()
      • Geometric.kurtosis
      • Geometric.mean
      • Geometric.median
      • Geometric.mode
      • Geometric.name
      • Geometric.non_central_moments()
      • Geometric.num_parameters
      • Geometric.parameter_restrictions()
      • Geometric.parameters_example
      • Geometric.pmf()
      • Geometric.ppf()
      • Geometric.sample()
      • Geometric.skewness
      • Geometric.standard_deviation
      • Geometric.variance
  • phitter.discrete.discrete_distributions.hypergeometric module
    • Hypergeometric
      • Hypergeometric.cdf()
      • Hypergeometric.central_moments()
      • Hypergeometric.get_parameters()
      • Hypergeometric.kurtosis
      • Hypergeometric.mean
      • Hypergeometric.median
      • Hypergeometric.mode
      • Hypergeometric.name
      • Hypergeometric.non_central_moments()
      • Hypergeometric.num_parameters
      • Hypergeometric.parameter_restrictions()
      • Hypergeometric.parameters_example
      • Hypergeometric.pmf()
      • Hypergeometric.ppf()
      • Hypergeometric.sample()
      • Hypergeometric.skewness
      • Hypergeometric.standard_deviation
      • Hypergeometric.variance
  • phitter.discrete.discrete_distributions.logarithmic module
    • Logarithmic
      • Logarithmic.cdf()
      • Logarithmic.central_moments()
      • Logarithmic.get_parameters()
      • Logarithmic.kurtosis
      • Logarithmic.mean
      • Logarithmic.median
      • Logarithmic.mode
      • Logarithmic.name
      • Logarithmic.non_central_moments()
      • Logarithmic.num_parameters
      • Logarithmic.parameter_restrictions()
      • Logarithmic.parameters_example
      • Logarithmic.pmf()
      • Logarithmic.ppf()
      • Logarithmic.sample()
      • Logarithmic.skewness
      • Logarithmic.standard_deviation
      • Logarithmic.variance
  • phitter.discrete.discrete_distributions.negative_binomial module
    • NegativeBinomial
      • NegativeBinomial.cdf()
      • NegativeBinomial.central_moments()
      • NegativeBinomial.get_parameters()
      • NegativeBinomial.kurtosis
      • NegativeBinomial.mean
      • NegativeBinomial.median
      • NegativeBinomial.mode
      • NegativeBinomial.name
      • NegativeBinomial.non_central_moments()
      • NegativeBinomial.num_parameters
      • NegativeBinomial.parameter_restrictions()
      • NegativeBinomial.parameters_example
      • NegativeBinomial.pmf()
      • NegativeBinomial.ppf()
      • NegativeBinomial.sample()
      • NegativeBinomial.skewness
      • NegativeBinomial.standard_deviation
      • NegativeBinomial.variance
  • phitter.discrete.discrete_distributions.poisson module
    • Poisson
      • Poisson.cdf()
      • Poisson.central_moments()
      • Poisson.get_parameters()
      • Poisson.kurtosis
      • Poisson.mean
      • Poisson.median
      • Poisson.mode
      • Poisson.name
      • Poisson.non_central_moments()
      • Poisson.num_parameters
      • Poisson.parameter_restrictions()
      • Poisson.parameters_example
      • Poisson.pmf()
      • Poisson.ppf()
      • Poisson.sample()
      • Poisson.skewness
      • Poisson.standard_deviation
      • Poisson.variance
  • phitter.discrete.discrete_distributions.uniform module
    • Uniform
      • Uniform.cdf()
      • Uniform.central_moments()
      • Uniform.get_parameters()
      • Uniform.kurtosis
      • Uniform.mean
      • Uniform.median
      • Uniform.mode
      • Uniform.name
      • Uniform.non_central_moments()
      • Uniform.num_parameters
      • Uniform.parameter_restrictions()
      • Uniform.parameters_example
      • Uniform.pmf()
      • Uniform.ppf()
      • Uniform.sample()
      • Uniform.skewness
      • Uniform.standard_deviation
      • Uniform.variance
  • Module contents
• phitter.discrete.discrete_measures package
  • Submodules
  • phitter.discrete.discrete_measures.discrete_measures module
    • DiscreteMeasures
      • DiscreteMeasures.critical_value_chi2()
      • DiscreteMeasures.get_dict()
  • Module contents
• phitter.discrete.discrete_statistical_tests package
  • Submodules
  • phitter.discrete.discrete_statistical_tests.discrete_test_chi_square module
    • evaluate_discrete_test_chi_square()
  • phitter.discrete.discrete_statistical_tests.discrete_test_kolmogorov_smirnov module
    • evaluate_discrete_test_kolmogorov_smirnov()
  • Module contents

Submodules

phitter.discrete.phitter_discrete module

class phitter.discrete.phitter_discrete.PhitterDiscrete(data, confidence_level=0.95, minimum_sse=inf, subsample_size=None, subsample_estimation_size=None, distributions_to_fit='all', exclude_distributions='any')

Bases: object

fit(n_workers=1)

parse_rgba_color(rgba_string)

plot_distribution_pmf_matplotlib(id_distribution, plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, plot_bar_color, plot_bargap, plot_line_color, plot_line_width)

plot_distribution_pmf_plotly(id_distribution, plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, plot_bar_color, plot_bargap, plot_line_color, plot_line_width, plotly_plot_renderer)

plot_ecdf_distribution_matplotlib(id_distribution, plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, plot_empirical_bar_color, plot_empirical_bargap, plot_distribution_line_color, plot_distribution_line_width)

plot_ecdf_distribution_plotly(id_distribution, plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, plot_empirical_bar_color, plot_empirical_bargap, plot_distribution_line_color, plot_distribution_line_width, plotly_plot_renderer)

plot_ecdf_matplotlib(plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, plot_bar_color)

plot_ecdf_plotly(plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, plot_bar_color, plot_bargap, plotly_plot_renderer)

plot_histogram_distributions_pmf_matplotlib(n_distributions, n_distributions_visible, plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, plot_bar_color, plot_bargap)

plot_histogram_distributions_pmf_plotly(n_distributions, n_distributions_visible, plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, plot_bar_color, plot_bargap, plotly_plot_renderer)

plot_histogram_matplotlib(plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, plot_bar_color, plot_bargap)

plot_histogram_plotly(plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, plot_bar_color, plot_bargap, plotly_plot_renderer)

process_distribution(id_distribution)

Return type:

tuple[str, dict, Any] | None

qq_plot_matplotlib(id_distribution, plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, qq_marker_name, qq_marker_color, qq_marker_size)

qq_plot_plotly(id_distribution, plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, qq_marker_name, qq_marker_color, qq_marker_size, plotly_plot_renderer)

qq_plot_regression_matplotlib(id_distribution, plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, qq_marker_name, qq_marker_color, qq_marker_size, regression_line_name, regression_line_color, regression_line_width)

qq_plot_regression_plotly(id_distribution, plot_title, plot_xaxis_title, plot_yaxis_title, plot_legend_title, plot_height, plot_width, qq_marker_name, qq_marker_color, qq_marker_size, regression_line_name, regression_line_color, regression_line_width, plotly_plot_renderer)

test(test_function, label, distribution)

Module contents