[Feature]: Use Polars in place of pandas for speed improvement

[paulf81]

Description

This issue links to what is discussed in discussion #69 and marks an intention to gain speed up in certain aspects by employing polars where it makes sense

Related URLs

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[paulf81]

Going to close this pull request now in favor of pull request #102

[paulf81]

Closed issues accidentally instead of pull request, re-opening

[paulf81]

Task list of actions to complete:

• Resolve Decide on binning conventions for FLASC #104
• @ejsimley 's improvements to energy_ratio_polars.py
• reintroduce overlapping bins into polars implementation of energy ratio
• seperate out EnergyRatioResult
• use existing tests to confirm correct implementation
• update energy_ratio_wd_bias_estimation
• Make sure sqldatabase_management.py fits in new paradigm
• [Feature]: Plot uncorrected and corrected energy ratios to show impact of northing calibration #100
• Look over some of the additional changes make in Add polars based energy ratio #97 to see if we want to keep any more of these
• Confirm the capabilities of Add table based analysis #66 are essentially captured within this pull request

[paulf81]

Addressed in #107