Rewrite to use pandas dataframes more widely in QRF #14
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…ion to avoid cost and complexity of converting to cubes.
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…obt_877_implement_qrf5_b * kathurst/mobt_877_implement_qrf: changes to ensure the cube temporal coords are robust for prep_feature. and enforces coord ordering.
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Addresses https://github.com/metoppv/mo-blue-team/issues/877
Description
Re-write to use pandas dataframes more widely throughout the QRF implementation. This is with the aim of avoiding the slowest aspect of the code i.e. the dataframe to cube conversion, and the complexity of handling the variable number of dimension coordinates within the cubes.
Testing: