nbodykit 0.2.9 - dev
  • Cookbook
  • API
  • Site

      Getting Started

      • Install nbodykit
        • Getting nbodykit
        • Installing nbodykit with Anaconda
        • Installing nbodykit with pip
        • nbodykit on NERSC
      • A Brief Introduction
        • The lab framework
        • Setting up logging
        • Parallel computation with MPI
        • Cosmology and units
        • Interacting with data in nbodykit
        • A component-based approach
        • Catalogs and dask
        • Running your favorite algorithm
        • The Cookbook
        • Questions, feedback, and contributions
      • Cosmological Calculations
        • The Cosmology class
        • Theoretical Power Spectra
        • Correlation functions
      • The Cookbook
        • Angular Pair Counting
        • The Multipoles of the BOSS DR12 Dataset
        • The Power Spectrum of Survey Data
        • The Power Spectrum of Data in a Simulation Box
        • Halo Occupation Distribution (HOD) Mocks
        • The Effects of Interlaced Painting
        • Mesh Interpolation Windows
        • Log-normal Mocks
        • Painting a Catalog to a Mesh
        • The Projected Power Spectrum of Data in a Simulation Box
        • Data Recipes
        • Painting Recipes
        • Algorithm Recipes
        • Contributing

      Discrete Data Catalogs

      • Overview
        • What is a CatalogSource?
        • Use Cases
        • Requirements
        • Default Columns
        • Storing Meta-data
        • API
      • Reading Catalogs from Disk
        • Supported Data Formats
        • Reading Multiple Data Files at Once
        • Reading a Custom Data Format
      • On Demand IO via dask.array
        • What is a dask array?
        • By Example
        • Caching with Dask
        • Examining Larger-than-Memory Data
      • Common Data Operations
        • Accessing Data Columns
        • Computing Data Columns
        • Adding New Columns
        • Overwriting Columns
        • Adding Redshift-space Distortions
        • Selecting a Subset
        • Selecting a Subset of Columns from a CatalogSource
        • The nbodykit.transform module
      • Generating Catalogs of Mock Data
        • Randomly Distributed Objects
        • Log-normal Mocks
        • Halo Occupation Distribution Mocks

      Data on a Mesh

      • Overview
        • What is a MeshSource?
        • Use Cases
        • Painting the Mesh
        • Fields: RealField and ComplexField
        • Storing Meta-data
        • API
      • Creating a Mesh
        • Converting a CatalogSource to a Mesh
        • Gaussian Realizations
        • From In-memory Data
      • Painting Catalogs to a Mesh
        • The Painted Field
        • Default Behavior
        • More Examples
      • Common Mesh Operations
        • Previewing the Mesh
        • Saving and Loading a Mesh
        • Applying Functions to the Mesh
        • Resampling a Mesh

      Getting Results

      • Available Algorithms
        • Power Spectrum Algorithms
        • Correlation Function Algorithms
        • Grouping Methods
        • Miscellaneous
      • Parallel Computation
        • Running nbodykit in parallel
        • A Primer on MPI Communication
        • Data-based parallelism
        • Task-based parallelism
      • Analyzing your Results
        • Loading and Saving Results
        • Coordinate Grid
        • Accessing the Data
        • Meta-data
        • Slicing
        • Reindexing
        • Averaging
      • Saving your Results

      Help and Reference

      • API Reference
        • The nbodykit lab
        • Cosmology (nbodykit.cosmology)
        • Transforming Catalog Data (nbodykit.transform)
        • Data Sources
        • Algorithms (nbodykit.algorithms)
        • Managing Multiple Tasks (TaskManager)
        • Analyzing Results (BinnedStatistic)
        • The IO Library (nbodykit.io)
        • Internal Nuts and Bolts
      • Contact and Support
      • Contributing Guidelines
        • Requesting a Feature
        • Bug Reporting
        • Setting up for Local Development
        • Opening a Pull Request
        • Contributing to the Cookbook
      • Changelog
        • 0.2.9 (unreleased)
        • 0.2.8 (2017-10-06)
        • 0.2.7 (2017-09-25)
        • 0.2.6 (2017-08-29)
        • 0.2.5 (2017-08-25)
        • 0.2.4 (2017-06-18)
        • 0.2.3 (2017-05-19)
        • 0.2.2 (2017-04-27)
        • 0.2.1 (2017-04-26)
  • Page
      • Discrete Data Catalogs
  • Source

Discrete Data CatalogsΒΆ

  • Overview
  • Reading Catalogs from Disk
  • On Demand IO via dask.array
  • Common Data Operations
  • Generating Catalogs of Mock Data

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© Copyright 2015-2017, Nick Hand, Yu Feng.
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