dask.array.Array.moment — Dask documentation (original) (raw)

Toggle navigation sidebar

Getting Started

• Install Dask
• 10 Minutes to Dask
• Deploy Dask Clusters
  • Python API
  • Cloud
  • High Performance Computers
  • Kubernetes
  • Command Line
  • SSH
  • Additional Information
    * Adaptive deployments
    * Docker Images
    * Python API (advanced)
    * Manage Environments
    * Prometheus
    * Customize Initialization
    * Deployment Considerations
• Best Practices
• FAQ

How to Use

• Array
  • Best Practices
  • Chunks
  • Create Dask Arrays
  • Overlapping Computations
  • Internal Design
  • Sparse Arrays
  • Stats
  • Slicing
  • Assignment
  • Stack, Concatenate, and Block
  • Generalized Ufuncs
  • Random Number Generation
  • API
  • Compatibility with numpy functions
• Bag
  • Create Dask Bags
  • API
• DataFrame
  • Load and Save Data
  • Internal Design
  • Optimizer
  • Best Practices
  • API
  • Additional Information
    * Parquet
    * Indexing
    * SQL
    * Join Performance
    * Shuffling Performance
    * Categoricals
    * Extend
    * Hive Partitioning
• Delayed
  • Working with Collections
  • Best Practices
• Futures
• Machine Learning

Internals

• Understanding Performance
• Scheduling
• Task Graphs
  • Specification
  • Custom Graphs
  • Optimization
  • Advanced graph manipulation
  • Custom Collections
  • High Level Graphs
• Debugging and Performance
  • Debug
  • Visualize task graphs
  • Dashboard
  • Diagnostics (local)
  • Diagnostics (distributed)
  • Phases of computation
• Dask Internals
  • User Interfaces
  • Understanding Performance
  • Stages of Computation
  • Ordering
  • Opportunistic Caching
  • Shared Memory
  • Scheduling in Depth

Reference

• API Reference
  • Array
  • DataFrame
  • Bag
  • Delayed
  • Futures
• Command Line Interface
• Development Guidelines
• Changelog
• Configuration
• How To…
  • Connect to remote data
  • Debug
  • Extend sizeof
  • Selecting the collection backend
  • Use GPUs
• Talks & Tutorials
• Maintainer Guidelines

dask.array.Array.moment¶

Array.moment(order, axis=None, dtype=None, keepdims=False, ddof=0, split_every=None, out=None)[source]¶

Calculate the nth centralized moment.

Refer to dask.array.moment() for the full documentation.