pressure_data.md

from aguaclara_research import ProCoDA_Parser as pp
from aguaclara.core.units import unit_registry as u
import matplotlib.pyplot as plt
import numpy as np
url = 'https://raw.githubusercontent.com/AguaClara/ram_pump/master/Spring%202019/2%20cycles.xls'
start = 300
end = 1000
x = (pp.ftime(url,start,end)).to(u.s)
pressure = pp.column_of_data(url, start, 1, end, 'cm')
airchamber = pp.column_of_data(url, start, 2, end, 'cm')

plt.plot(x,pressure,'-')
plt.plot(x,-airchamber,'-')
plt.show()