Question

Write a program in Python to read the .txt file . Then to plot CO2_flux against time for every half hour .

A H P DATAH DATAU DATA DATA DATA DATA 0 0 DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA B C D E F G filename date t ime DOY daytime file_records used_record: Tau qc_Tau [yyyy-mm-de (HH:MM] [ddd.ddd] (1=daytime] [#] [#] [kg+1m-1s-2 [#] 2020-05-08T 09/05/20 0:00:00 130 0 18000 17999 0.96022225 2020-05-09T 09/05/20 0:30:00 130.02 18000 17999 0.56498711 2020-05-09T 09/05/20 1:00:00 130.041 0 18000 17997 0.67831412 2020-05-09T 09/05/20 1:30:00 130.062 18000 18000 0.49221255 2020-05-09T 09/05/20 2:00:00 130.083 18000 18000 0.28235588 2020-05-09T 09/05/20 2:30:00 130.104 18000 18000 0.38537606 2020-05-09T 09/05/20 3:00:00 130.124 18000 18000 0.20889318 2020-05-09T 09/05/20 3:30:00 130.145 18000 18000 0.16170605 2020-05-09T09/05/20 4:00:00 130.166 18000 18000 0.11449392 2020-05-09T 09/05/20 4:30:00 130.187 18000 18000 0.07111478 2020-05-09T 09/05/20 5:00:00 130.208 18000 18000 0.03480745 2020-05-09T 09/05/20 5:30:00 130.229 1 18000 18000 0.01706915! 2020-05-09T 09/05/20 6:00:00 130.249 1 18000 18000 0.01392368 2020-05-09T09/05/20 6:30:00 130.27 1 18000 18000 0.01865957 2020-05-09T 09/05/20 7:00:00 130.291 1 18000 18000 0.01985429 2020-05-09T 09/05/20 7:30:00 130.312 1 18000 18000 0.02676597 2020-05-09T 09/05/20 8:00:00 130.333 1 18000 18000 0.00345001 2020-05-09T09/05/20 8:30:00 130.354 1 18000 18000 0.00375287 2020-05-09T 09/05/209:00:00 130.374 1 18000 18000 0.00416554 2020-05-09T 09/05/20 9:30:00 130.395 1 18000 18000 0.00297582 2020-05-09T09/05/20 10:00:00 130.416 1 18000 18000 0.00535166 2020-05-09T09/05/20 10:30:00 130.437 1 18000 18000 0.00191305 2020-05-09T09/05/20 11:00:00 130.458 1 18000 18000 0.00534918 2020-05-09T09/05/20 11:30:00 130.479 1 18000 18000 0.01583461 2020-05-09T09/05/20 12:00:00 130.499 1 18000 18000 0.06103608 2020-05-09T09/05/20 12:30:00 130.52 1 18000 18000 0.08220583 2020-05-09T09/05/20 13:00:00 130.541 1 18000 18000 0.39977383 2020-05-09T09/05/20 13:30:00 130.562 1 18000 18000 0.49427604 2020-05-09T09/05/2014:00:00 130.583 1 18000 18000 0.66182316 2020-05-09T09/05/20 14:30:00 130.604 18000 17993 0.88567365 2020-05-09T 09/05/20 15:00:00 130.624 1 18000 18000 0.54172258 2020-05-09T 09/05/20 15:30:00 130.645 1 18000 18000 0.38166743 L M rand_err_TaiH qc_H [kg+1m-15-2 [W+1m-2] [#] O NaN 23.3853012 O NaN -0.3151282 O NaN -18.915976 O NaN -26.451675 O NaN -13.007439 O NaN 4.62130407 O NaN -0.7940337 O NaN -9.621906 O NaN -7.2559946 O NaN -3.8648585 O NaN -6.9877103 O NaN -5.0545258 O NaN -2.1685393 O NaN 3.05787606 O NaN -4.1527895 O NaN -7.2823682 1 NaN -0.8600543 1 NaN -1.2253333 O NaN -3.394291 1 NaN -2.2298161 1 NaN -1.108992 1 NaN -3.3132785 O NaN -11.995957 O NaN -8.3660264 O NaN -12.657566 O NaN 18.2962941 O NaN 47.2189958 1 NaN 229.745768 1 NaN 238.946508 O NaN 314.671123 1 NaN 291.669968 O NaN 295.711872 N O rand_err_H LE 9c_LE [W+1m-2] [W+1m-2] [#] O NaN 47.0624527 2 NaN 19.992449 O NaN 30.3584421 O NaN 25.539365 O NaN 16.1092177 2 NaN 33.662127 2 NaN 16.5376562 O NaN 15.2407344 1 NaN 9.97189002 2 NaN 10.9225531 O NaN 12.9387905 1 NaN 6.0476946 O NaN 4.91421886 2 NaN 2.3458583 O NaN 6.64052202 O NaN 7.86037828 1 NaN 1.5946895 1 NaN 3.12821959 1 NaN 4.97558279 1 NaN 3.02124837 2 NaN -1.1747444 1 NaN 2.56653556 O NaN 10.8331957 O NaN 7.88762452 1 NaN 32.8362782 O NaN 33.8559587 1 NaN 85.5526364 1 Nan 63.4902484 O NaN 149.355872 O NaN 134.724674 O NaN 77.3863236 O NaN 84.7380115 Q R rand_err_LE CO2_flux 9c_co [W+1m-2] [umol+15-1n [#] O NaN 0.12631092 O NaN 4.1501201 O NaN 6.22910905 O NaN 6.3400642 O NaN 4.40626195 1 NaN 11.1618975 O NaN 6.52879374 O NaN 7.60135475 O NaN 4.32465942 O NaN 7.94848698 O NaN 6.60270992 O NaN 2.79963413 O NaN 1.72387271 2 NaN 0.35222004 O NaN 2.80970274 O NaN 3.35878699 1 NaN 0.55413224 1 NaN 0.7398382 1 NaN 1.43666281 1 NaN 1.01370445 1 NaN -0.6897564 1 NaN 0.88814936 1 NaN 5.93820061 O NaN 7.39120425 O NaN 17.348417 O NaN 7.3110392 O NaN 10.8661537 O NaN 3.12124018 O NaN -2.5977215 O NaN -8.5555464 O NaN -9.4498434 O NaN -7.9676441

Answer 1

Kindly find the code for reading a file and plotting the graph of CO2_flux against Time. Dont forget to chnage the filename before running the code.

 import matplotlib import matplotlib.pyplot as plt import csv with open('example.txt','r') as f_input: csv_input = csv.reader(f_input, delimiter=' ', skipinitialspace=True) x = [] y = [] for cols in csv_input: x.append(matplotlib.dates.datestr2num(cols[0])) y.append(float(cols[1])) # naming the x axis plt.xlabel('Time') # naming the y axis plt.ylabel('CO2_flux') # giving a title to my graph plt.title('CO2_flux vs Time') # plotting the points plt.plot_date(x, y) # beautify the x-labels plt.gcf().autofmt_xdate() # function to show the plot plt.show()