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Performance Release 1.2.0

Closed
Due by May 30, 2015
Closed May 11, 2016

Modify current plotting design to use more efficient tools such as pandas and numpy to speed up plotting time series. Currently the plot is dreadfully slow even for a reasonable amount of data values.

Enhancements include:

  • Using numpy datetime arrays to store values instead of python list of datetime objects
  • Use pandas to do statistical analysis for the stats page
  • Change current limited host_subplot to fit the needs of the program. Use matplotlib.spines instead for creating multiple axes.
  • Add Try/catch or Nullable tests after every query to the database
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