Important engineering data is now logged at VATT into a sqlite database. This is done using sqlaclchemy and several python modules to retrieve data from the relevant systems. That source code can be found on gitlab. There is also a web page that will display simple plots or tables of logged data.

Through the previously mentioned web app there is a url API of sorts that can be used to access data programmatically.

The program below will retrieve data from each currently available table for the last 1200 minutes.

#!/usr/bin/python
 
 
import pandas as pd
 
minsago = 1200
 
datafames = dict()
 
for table in ['temps', 'telem', 'ngtelem', 'ivps' ]:
    url = "http://vatt.as.arizona.edu:42180/recent/data/{}.csv?minsago={}".format( table, minsago )
    print("retreiving data from: \n\t\t{}".format(url))
    dataframe[table].plot(subplots=True)
    try:
        dataframe[table]=pd.read_csv(url)
        print(dataframe[table])
        #uncomment the below line if you have matplotlib or pylab. 
        #dataframe[table].plot(subplots=True)
    except Exception as err:
        print err
 
    print()
    print()