Re-plot results using Python

[ththelen]

I am writing my plotting script in a Jupyter Notebook. Progress is tracked below

[ththelen]

First step: user provides simulation start time and date in UTC. Second step: user provides file path to text file output from pullT code. ADCIRC results text file converted to Pandas dataframe. Plotting notebook is designed to operate independently of pullT code that generates time series from ADCIRC output fort files.

Third step: user provides info to initialize API request for NOAA data. Converted to dataframe. Currently set to work for WLs only, but could be adapted to wind.

Future work:

• Import FIMAN data to a dataframe. Their API can only provide data through the last month, we will have to pull from the a downloaded .csv file. Additionally, their output data is in a mix of EST and EDT. The date conversion will be somewhat tricky.
• Plot the dataframe(s). I start with the default plotting format that Jenero used.

[ththelen]

Freshly cleaned WL data plots from my new Jupyter Notebook. Tomas helped me improve my plotting script this morning. Note that the noise in the FIMAN data has been removed. The second snip show that this was accomplished by deleting FIMAN data from time periods with noise. Because most of the noise occurred outside tidal maxima and minima, this did not adversely affect our line plot representation of the signal.