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PR: Make accessing water level and weather data more efficient #277

Merged
merged 12 commits into from
Apr 10, 2019
Merged

PR: Make accessing water level and weather data more efficient #277

merged 12 commits into from
Apr 10, 2019

Commits on Apr 10, 2019

  1. Convert xlsdate as iso date strings in hdf5 file

    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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  2. Add some print when getting a wldset

    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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  3. Keep a ref to the current wldset 

    Instead of fetching and formatting the data over and over again, we now
keep a reference to the current wldset one time in the manager. I think
this will also improve the memory footprint of GWHAT.
    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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  4. Codestyle: do 1 exit point in method

    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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  5. DataManager: store current wxdset

    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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  6. ProjetReader: Add get_wxdsets_lat method 

    Return a list with the latitude coordinates of the weather datasets.
    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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  7. ProjetReader: add get_wxdsets_lon method 

    Return a list with the longitude coordinates of the weather datasets.
    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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  8. Add some print statements in get_wxdset

    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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  9. Improve how closest wxdset is calculated for wldset

    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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  10. infer_datetime_format when pandas.to_datetime

    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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  11. Set _wldset and _wxdset to None when deleting

    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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  12. if __name__ == '__main__':

    @jnsebgosselin
    jnsebgosselin committed Apr 10, 2019
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