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Octopy Graph

A tool for graphing data from the Octopus Energy API

Getting Started

Installing

Either clone directly from the repo or install using pip

pip install octopy-graphs

Running

The tool is run using python3.7\6. For help text use:

python3.7 -m octopy_graph.__main__ -h

You will need the following information:

  • apikey - If you are an Octopus Energy customer, you can get an API key from your online dashboard.
  • gasserial - The gas meters serial number. Printed on your gas meter and on your bill. Looks like G3P69380371200.
  • mprn - The MPRN for your gas meter. On your bill as Meter Point Reference, looks like 3429439001.
  • electricserial - The electricity meters serial number. Printed on your meter and on your bill. Looks like 12P1022008.
  • mpan - The MPAN for you electricity meter. On your bill as Supply Number, looks like 2019820081223

Examples

The tool uses plotly to graph data. Here are some examples.

Daily

A graph showing gas and electricity usage on a specific date.

Weekly

A graph showing gas and electricity usage for a specific week.

Average Hourly

A graph showing the average energy usage at specific times during the day.

Average Daily

A graph showing the average energy usage on specific days of the week.

Average Weekly

A graph showing the average energy usage on weeks throughout the year.

Metadata

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