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Correct Type-Checking #61

@O957

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@O957

This issue covers ensuring that numpy and other libraries have their types checked correctly, where applicable. This issue comes from the following statements made by DHM:

Regarding:

  • if not interval_dates.dtype == np.dtype("datetime64[ns]"): versus
  • if interval_dates.dtype != np.dtype("datetime64[ns]"):

See here for the original remarks.

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Low PriorityA task that is of lower relative priority.enhancementEnhancement to existing feature or aspect of the project.standardsRelated to best practices or standards.

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