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More readme polishing
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README.txt renamed to README.md

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This library provides a Python toolkit for analysing tariffs for electricity, gas and other utility services.
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Use cases include:
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- assessing the bill savings associated with energy efficiency, solar or active load management
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- assessing the bill savings associated with energy efficiency, solar or load management
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- assessing the benefits of tariff switching
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Supported tariff components include:
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}
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```
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Next construct the Tariff, using a library called Odin
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Next construct the Tariff, using a library called [Odin](https://www.github.com/python-odin/odin/)
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```python
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from odin.codecs import json_codec
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etc
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```
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Next import the CSV using as a pandas DataFrame, making sure to include a parser to parse the datetimes appropriately:
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Next import the CSV using as a [Pandas DataFrame](http://pandas.pydata.org/), making sure to include a parser to parse the datetimes appropriately:
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```python
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parser = lambda t: datetime.datetime.strptime(t, '%d/%m/%Y %H:%M')

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