Documentation copulabayesnet

Introduction

copulabayesnet is a Python package with several copula and Bayesian network test and model methods.

$ pip install copulabayesnet

Functionalities

• Condition Bayesian networks constructed by a Gaussian copula with the multivariate normal method.

• Plot copulas.

• Several goodness-of-fit tests.

Examples

Some examples can be found in Examples..

See also https://github.com/SjoerdGn/copulabayesnet/tree/master/examples

Contents

• bncopula
• cop_plot
  • cop_2_param()
  • cumulative_plot()
  • different_cop()
  • different_cop_video()
  • double_hist()
  • pred_target()
• data_preprocessor
  • CorrMatrix
  • DataPreProc
    • DataPreProc.RH_filter()
    • DataPreProc.basic_filter()
    • DataPreProc.combine_knmi_decades()
    • DataPreProc.load_from_gui()
    • DataPreProc.load_from_name_and_path()
    • DataPreProc.load_multiple_from_gui()
    • DataPreProc.load_source()
    • DataPreProc.save_source()
• data_processor
  • DataProc
    • DataProc.load_processed_file()
    • DataProc.merge()
    • DataProc.resample_basic()
    • DataProc.resample_save_dates()
    • DataProc.resample_temporal_average_with_date()
    • DataProc.resample_with_dates()
    • DataProc.spatially_combine_data()
    • DataProc.to_array()
    • DataProc.to_csv()
  • WatBal
    • WatBal.add_discharge()
    • WatBal.add_extra()
    • WatBal.add_gw()
    • WatBal.add_pot_evap()
    • WatBal.add_prec()
    • WatBal.add_wwtp()
    • WatBal.budyko_curve()
    • WatBal.calculate_balance()
    • WatBal.create_average_year()
    • WatBal.height()
    • WatBal.load_csv()
    • WatBal.minimize()
    • WatBal.plot()
    • WatBal.plot_pot_evap_prec()
    • WatBal.remove_force()
    • WatBal.save_positive()
    • WatBal.to_csv()
    • WatBal.volume()
  • back_factors()
  • back_values()
  • select_date()
  • water_balance()
• spatial_tools
  • inv_dist_weight()
• Examples
  • Predict with the multivariate normal method
• License
• Help

Indices and tables

• Index

• Module Index

• Search Page