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Table Of Contents

  • What’s New
  • Installation
  • Frequently Asked Questions (FAQ)
  • Package overview
  • 10 Minutes to Pandas
  • Cookbook
  • Intro to Data Structures
  • Essential Basic Functionality
  • Indexing and Selecting Data
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  • Reshaping and Pivot Tables
  • Time Series / Date functionality
  • Plotting with matplotlib
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  • IO Tools (Text, CSV, HDF5, ...)
  • Remote Data Access
  • Enhancing Performance
  • Sparse data structures
  • Caveats and Gotchas
  • rpy2 / R interface
  • Related Python libraries
  • Comparison with R / R libraries
  • API Reference
    • Input/Output
    • General functions
      • Data manipulations
      • Top-level missing data
      • Top-level dealing with datetimes
      • Top-level evaluation
      • Standard moving window functions
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      • Exponentially-weighted moving window functions
    • Series
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    • DatetimeIndex
  • Release Notes

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pandas.period_range¶

pandas.period_range(start=None, end=None, periods=None, freq='D', name=None)¶

Return a fixed frequency datetime index, with day (calendar) as the default frequency

Parameters:

start : :

end : :

periods : int, default None

Number of periods in the index

freq : str/DateOffset, default ‘D’

Frequency alias

name : str, default None

Name for the resulting PeriodIndex

Returns:

prng : PeriodIndex

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