aranet4_parse_plot.jl

# this is a simple example of how to parse an Aranet4 CO2 sensor and plot the data using Julia

using Dates
using DataFrames
using CSV
using Plots
plotly()

fname = "Aranet4 017E9_2020-12-10T05_04_41.csv"

dateformat = DateFormat("mm/dd/yyyy HH:MM:SS p")
df= CSV.read(fname, DataFrame; dateformat = dateformat) 

tstart = floor(df.Time[1], Dates.Minute)
tend = ceil(df.Time[end], Dates.Minute)
tm_tick = range(tstart,tend, step=Minute(30))

ticks = Dates.format.(tm_tick,"mm/dd HH:MM p")
plot(df.Time, df[!,Symbol("CO₂(ppm)")], xticks=(tm_tick,ticks), xrot=60, label="CO₂(ppm)")

Initial example of how to parse and plot the csv file saved by the Aranet4 CO2 sensor using Julia.