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Table Of Contents

  • What’s New
  • Installation
  • Contributing to pandas
  • Frequently Asked Questions (FAQ)
  • Package overview
  • 10 Minutes to pandas
  • Tutorials
  • Cookbook
  • Intro to Data Structures
  • Essential Basic Functionality
  • Working with Text Data
  • Options and Settings
  • Indexing and Selecting Data
  • MultiIndex / Advanced Indexing
  • Computational tools
  • Working with missing data
  • Group By: split-apply-combine
  • Merge, join, and concatenate
  • Reshaping and Pivot Tables
  • Time Series / Date functionality
  • Time Deltas
  • Categorical Data
  • Plotting
  • IO Tools (Text, CSV, HDF5, ...)
  • Remote Data Access
  • Enhancing Performance
  • Sparse data structures
  • Caveats and Gotchas
  • rpy2 / R interface
  • pandas Ecosystem
  • Comparison with R / R libraries
  • Comparison with SQL
  • API Reference
    • Input/Output
    • General functions
    • Series
      • Constructor
      • Attributes
      • Conversion
      • Indexing, iteration
      • Binary operator functions
      • Function application, GroupBy
      • Computations / Descriptive Stats
      • Reindexing / Selection / Label manipulation
      • Missing data handling
      • Reshaping, sorting
      • Combining / joining / merging
      • Time series-related
      • Datetimelike Properties
      • String handling
      • Categorical
      • Plotting
      • Serialization / IO / Conversion
      • Sparse methods
    • DataFrame
    • Panel
    • Panel4D
    • Index
    • CategoricalIndex
    • DatetimeIndex
    • TimedeltaIndex
    • GroupBy
    • General utility functions
  • Internals
  • Release Notes

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pandas.Series.dt.nanoseconds¶

Series.dt.nanoseconds¶

Number of nanoseconds (>= 0 and less than 1 microsecond) for each element.

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