Add regression test for example tide prediction #9
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added 2 commits
June 13, 2014 10:28
The purpose of these classes is to make a convenient way to load observation data (datetime, height) from a source such as CSV, and handle any wrangling to ie numpy when required. - `Observations` is an abstract-base-class defining a basic interface which all subclasses must adhere to. - `CsvObservations` reads observations from an arbitrary-sized CSV with UTC dates. Note that it tries to avoid reading the file into memory. - Tests for CsvObservations which capture its behaviour. Included is an example data set from the NOAA with hourly observations for the year of 2013.
This is a regression test to pin the behaviour of pytides doing a full analysis for `example_observations_2.csv` Note that it depends on the new `CsvObservations` class.
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Note that I've now rebased this off the new |
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This is a regression test to pin the behaviour of pytides doing a full
analysis for
example_observations_2.csvI have run this test based directly off sam-cox/pytides and off my whitespace changes and they pass on both.
Note that it depends on the new
CsvObservationsclass and should be merged after #8