# Python Module Index

c | ||

`pyunicorn.climate` | ||

`pyunicorn.climate.climate_data` |
complex climate networks | |

`pyunicorn.climate.climate_network` |
complex climate networks | |

`pyunicorn.climate.coupled_climate_network` |
complex coupled climate networks | |

`pyunicorn.climate.coupled_tsonis` |
complex coupled climate networks | |

`pyunicorn.climate.havlin` |
complex climate networks | |

`pyunicorn.climate.hilbert` |
complex climate networks | |

`pyunicorn.climate.map_plot` |
spatially embedded complex networks, multivariate data,
time series surrogates | |

`pyunicorn.climate.mutual_info` |
complex climate networks | |

`pyunicorn.climate.partial_correlation` |
complex climate networks | |

`pyunicorn.climate.rainfall` |
complex climate networks | |

`pyunicorn.climate.spearman` |
complex climate networks | |

`pyunicorn.climate.tsonis` |
complex climate networks | |

`pyunicorn.core` | ||

`pyunicorn.core.data` |
spatially embedded complex networks, multivariate data,
time series surrogates | |

`pyunicorn.core.geo_grid` |
spatially embedded complex networks, multivariate data,
time series surrogates | |

`pyunicorn.core.geo_network` |
spatially embedded complex networks, multivariate data,
time series surrogates | |

`pyunicorn.core.grid` |
spatially embedded complex networks, multivariate data,
time series surrogates | |

`pyunicorn.core.interacting_networks` |
spatially embedded complex networks, multivariate data,
time series surrogates | |

`pyunicorn.core.netcdf_dictionary` |
NetCDF <-> Python dictionary, NetCDF4 compression | |

`pyunicorn.core.network` |
advanced statistics and models for general complex networks | |

`pyunicorn.core.resistive_network` |
resistance based networks | |

`pyunicorn.core.spatial_network` |
spatially embedded complex networks, multivariate data,
time series surrogates | |

e | ||

`pyunicorn.eventseries` | ||

`pyunicorn.eventseries.event_series` |
event synchronization, event coincidence analysis | |

f | ||

`pyunicorn.funcnet` | ||

`pyunicorn.funcnet.coupling_analysis` |
spatially embedded complex networks, multivariate data, time
series surrogates | |

`pyunicorn.funcnet.coupling_analysis_pure_python` |
spatially embedded complex networks, multivariate data, time
series surrogates | |

t | ||

`pyunicorn.timeseries` | ||

`pyunicorn.timeseries.cross_recurrence_plot` |
recurrence plots, RQA measures, recurrence network analysis | |

`pyunicorn.timeseries.inter_system_recurrence_network` |
recurrence plots, RQA measures, recurrence network analysis | |

`pyunicorn.timeseries.joint_recurrence_network` |
recurrence plots, RQA measures, recurrence network analysis | |

`pyunicorn.timeseries.joint_recurrence_plot` |
recurrence plots, RQA measures, recurrence network analysis | |

`pyunicorn.timeseries.recurrence_network` |
recurrence plots, RQA measures, recurrence network analysis | |

`pyunicorn.timeseries.recurrence_plot` |
recurrence plots, RQA measures, recurrence network analysis | |

`pyunicorn.timeseries.surrogates` |
spatially embedded networks, multivariate data,
time series surrogates | |

`pyunicorn.timeseries.visibility_graph` |
recurrence plots, RQA measures, recurrence network analysis | |

u | ||

`pyunicorn.utils` | ||

`pyunicorn.utils.mpi` |
parallelization using mpi4py |