Portfolyo

Portfolyo is a Python package to analyse and manipulate timeseries related to power and gas offtake portfolios.

A good place to start learing about this package is the quickstart guide.

Installation

pip install portfolyo

NB: this package is under active development and the API will change without prior notice. To ensure your code will continue to work, pin the version number that you install:

pip install portfolyo==x.x.x

Contents

Core functionality

• Objects
  • PfLine
  • PfState
• PfLine
  • Kind
  • Initialisation
  • Flat or Nested
  • Accessing data
  • Plotting / Excel / Clipboard
  • Resampling
  • Arithmatic
  • Set timeseries
  • Hedging
  • Peak and offpeak
  • API
• PfState
  • Initialisation
  • Unsourced price
  • Sign conventions
  • Accessing data
  • Plotting / Excel / Clipboard
  • Resampling
  • Arithmatic
  • Set portfolio lines
  • Mark-to-Market
  • Hedging
  • API
• Interoperability
  • One value
  • One or more values
  • One timeseries
  • One or more timeseries
  • Combinations
  • Duck typing for other objects
  • Compatilibity of abbrevation and unit
  • Footnotes
• Top-level tools
  • Work on pandas objects
  • Work on portfolyo objects

Tutorials

• Quickstart
• Tutorial part 1
• Tutorial part 2
• Tutorial part 3
• Tutorial part 4

Specialized topics

• Preprocessing input data
  • DatetimeIndex
  • Localize input data
  • Frequency
  • Left-bound DatetimeIndex
  • Target timezone
  • In one step
• Timezones
  • Preparations
  • Convert to timezone-aware
  • Convert to timezone-agnostic
  • Assumptions
• Dimensions and Units
  • Abbreviations
  • Missing or non-default units
  • Other naming conventions
• Indices
  • Calender and non-calendar days
  • Assumptions regarding offset
• Resampling
  • Time-summable
  • Time-averagable
  • Derived
  • Upsampling example
  • Downsampling example
  • Downsampling example, price-only
  • Resampling with portfolyo

Full reference

• Full reference