{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "data_url = \"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/monthly/monthly_in_situ_co2_mlo.csv\"" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "data_file = \"co2monthly.csv\"\n", "\n", "import os\n", "import urllib.request\n", "if not os.path.exists(data_file):\n", " urllib.request.urlretrieve(data_url, data_file)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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YrMnDaysYrDecimalCO2CO2_seasonallyCO2_fitCO2_fit_wo_cycleCO2_filledCO2_seasonally_filled
2195801212001958.0411-99.99-99.99-99.99-99.99-99.99-99.99
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4195803212591958.2027315.71314.43316.20314.90315.71314.43
5195804212901958.2877317.45315.15317.30314.98317.45315.15
6195805213201958.3699317.51314.68317.89315.06317.51314.68
7195806213511958.4548-99.99-99.99317.27315.14317.27315.14
8195807213811958.5370315.87315.20315.85315.21315.87315.20
9195808214121958.6219314.93316.23313.95315.28314.93316.23
10195809214431958.7068313.21316.13312.42315.35313.21316.13
11195810214731958.7890-99.99-99.99312.41315.40312.41315.40
12195811215041958.8740313.33315.21313.60315.46313.33315.21
13195812215341958.9562314.67315.43314.76315.51314.67315.43
14195901215651959.0411315.58315.52315.64315.57315.58315.52
15195902215961959.1260316.49315.83316.29315.63316.49315.83
16195903216241959.2027316.65315.37316.99315.69316.65315.37
17195904216551959.2877317.72315.41318.09315.77317.72315.41
18195905216851959.3699318.29315.46318.68315.85318.29315.46
19195906217161959.4548318.15316.00318.08315.94318.15316.00
20195907217461959.5370316.54315.87316.67316.03316.54315.87
21195908217771959.6219314.79316.10314.79316.12314.79316.10
22195909218081959.7068313.84316.76313.28316.22313.84316.76
23195910218381959.7890313.33316.35313.30316.31313.33316.35
24195911218691959.8740314.81316.70314.53316.39314.81316.70
25195912218991959.9562315.58316.35315.72316.47315.58316.35
26196001219301960.0410316.43316.37316.62316.55316.43316.37
27196002219611960.1257316.98316.33317.30316.64316.98316.33
28196003219901960.2049317.58316.27318.04316.71317.58316.27
29196004220211960.2896319.03316.69319.14316.79319.03316.69
30196005220511960.3716320.03317.19319.70316.86320.03317.19
31196006220821960.4563319.59317.44319.04316.92319.59317.44
.................................
788202307451222023.5370421.62420.82421.71420.95421.62420.82
789202308451532023.6219419.56421.11419.66421.26419.56421.11
790202309451842023.7068418.06421.56418.06421.57418.06421.56
791202310452142023.7890418.41422.01418.29421.88418.41422.01
792202311452452023.8740420.11422.37419.96422.19420.11422.37
793202312452752023.9562421.65422.57421.59422.49421.65422.57
794202401453062024.0410422.62422.55422.87422.79422.62422.55
795202402453372024.1257424.34423.56423.87423.08424.34423.56
796202403453662024.2049425.22423.66424.93423.35425.22423.66
797202404453972024.2896426.30423.51426.45423.64426.30423.51
798202405454272024.3716426.70423.31427.30423.91426.70423.31
799202406454582024.4563426.62424.07426.72424.19426.62424.07
800202407454882024.5383425.40424.63425.20424.46425.40424.63
801202408455192024.6230422.70424.29423.11424.74422.70424.29
802202409455502024.7077421.60425.11421.49425.02421.60425.11
803202410455802024.7896422.05425.65421.69425.28422.05425.65
804202411456112024.8743423.61425.86423.31425.53423.61425.86
805202412456412024.9563425.01425.93424.87425.77425.01425.93
806202501456722025.0411426.42426.35426.09426.01426.42426.35
807202502457032025.1260427.00426.21427.03426.24427.00426.21
808202503457312025.2027427.73426.19427.99426.44427.73426.19
809202504457622025.2877429.24426.47429.44426.65429.24426.47
810202505457922025.3699430.20426.80-99.99-99.99430.20426.80
811202506458232025.4548-99.99-99.99-99.99-99.99-99.99-99.99
812202507458532025.5370-99.99-99.99-99.99-99.99-99.99-99.99
813202508458842025.6219-99.99-99.99-99.99-99.99-99.99-99.99
814202509459152025.7068-99.99-99.99-99.99-99.99-99.99-99.99
815202510459452025.7890-99.99-99.99-99.99-99.99-99.99-99.99
816202511459762025.8740-99.99-99.99-99.99-99.99-99.99-99.99
817202512460062025.9562-99.99-99.99-99.99-99.99-99.99-99.99
\n", "

816 rows × 10 columns

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" ], "text/plain": [ " Yr Mn Days YrDecimal CO2 CO2_seasonally CO2_fit \\\n", "2 1958 01 21200 1958.0411 -99.99 -99.99 -99.99 \n", "3 1958 02 21231 1958.1260 -99.99 -99.99 -99.99 \n", "4 1958 03 21259 1958.2027 315.71 314.43 316.20 \n", "5 1958 04 21290 1958.2877 317.45 315.15 317.30 \n", "6 1958 05 21320 1958.3699 317.51 314.68 317.89 \n", "7 1958 06 21351 1958.4548 -99.99 -99.99 317.27 \n", "8 1958 07 21381 1958.5370 315.87 315.20 315.85 \n", "9 1958 08 21412 1958.6219 314.93 316.23 313.95 \n", "10 1958 09 21443 1958.7068 313.21 316.13 312.42 \n", "11 1958 10 21473 1958.7890 -99.99 -99.99 312.41 \n", "12 1958 11 21504 1958.8740 313.33 315.21 313.60 \n", "13 1958 12 21534 1958.9562 314.67 315.43 314.76 \n", "14 1959 01 21565 1959.0411 315.58 315.52 315.64 \n", "15 1959 02 21596 1959.1260 316.49 315.83 316.29 \n", "16 1959 03 21624 1959.2027 316.65 315.37 316.99 \n", "17 1959 04 21655 1959.2877 317.72 315.41 318.09 \n", "18 1959 05 21685 1959.3699 318.29 315.46 318.68 \n", "19 1959 06 21716 1959.4548 318.15 316.00 318.08 \n", "20 1959 07 21746 1959.5370 316.54 315.87 316.67 \n", "21 1959 08 21777 1959.6219 314.79 316.10 314.79 \n", "22 1959 09 21808 1959.7068 313.84 316.76 313.28 \n", "23 1959 10 21838 1959.7890 313.33 316.35 313.30 \n", "24 1959 11 21869 1959.8740 314.81 316.70 314.53 \n", "25 1959 12 21899 1959.9562 315.58 316.35 315.72 \n", "26 1960 01 21930 1960.0410 316.43 316.37 316.62 \n", "27 1960 02 21961 1960.1257 316.98 316.33 317.30 \n", "28 1960 03 21990 1960.2049 317.58 316.27 318.04 \n", "29 1960 04 22021 1960.2896 319.03 316.69 319.14 \n", "30 1960 05 22051 1960.3716 320.03 317.19 319.70 \n", "31 1960 06 22082 1960.4563 319.59 317.44 319.04 \n", ".. ... ... ... ... ... ... ... \n", "788 2023 07 45122 2023.5370 421.62 420.82 421.71 \n", "789 2023 08 45153 2023.6219 419.56 421.11 419.66 \n", "790 2023 09 45184 2023.7068 418.06 421.56 418.06 \n", "791 2023 10 45214 2023.7890 418.41 422.01 418.29 \n", "792 2023 11 45245 2023.8740 420.11 422.37 419.96 \n", "793 2023 12 45275 2023.9562 421.65 422.57 421.59 \n", "794 2024 01 45306 2024.0410 422.62 422.55 422.87 \n", "795 2024 02 45337 2024.1257 424.34 423.56 423.87 \n", "796 2024 03 45366 2024.2049 425.22 423.66 424.93 \n", "797 2024 04 45397 2024.2896 426.30 423.51 426.45 \n", "798 2024 05 45427 2024.3716 426.70 423.31 427.30 \n", "799 2024 06 45458 2024.4563 426.62 424.07 426.72 \n", "800 2024 07 45488 2024.5383 425.40 424.63 425.20 \n", "801 2024 08 45519 2024.6230 422.70 424.29 423.11 \n", "802 2024 09 45550 2024.7077 421.60 425.11 421.49 \n", "803 2024 10 45580 2024.7896 422.05 425.65 421.69 \n", "804 2024 11 45611 2024.8743 423.61 425.86 423.31 \n", "805 2024 12 45641 2024.9563 425.01 425.93 424.87 \n", "806 2025 01 45672 2025.0411 426.42 426.35 426.09 \n", "807 2025 02 45703 2025.1260 427.00 426.21 427.03 \n", "808 2025 03 45731 2025.2027 427.73 426.19 427.99 \n", "809 2025 04 45762 2025.2877 429.24 426.47 429.44 \n", "810 2025 05 45792 2025.3699 430.20 426.80 -99.99 \n", "811 2025 06 45823 2025.4548 -99.99 -99.99 -99.99 \n", "812 2025 07 45853 2025.5370 -99.99 -99.99 -99.99 \n", "813 2025 08 45884 2025.6219 -99.99 -99.99 -99.99 \n", "814 2025 09 45915 2025.7068 -99.99 -99.99 -99.99 \n", "815 2025 10 45945 2025.7890 -99.99 -99.99 -99.99 \n", "816 2025 11 45976 2025.8740 -99.99 -99.99 -99.99 \n", "817 2025 12 46006 2025.9562 -99.99 -99.99 -99.99 \n", "\n", " CO2_fit_wo_cycle CO2_filled CO2_seasonally_filled \n", "2 -99.99 -99.99 -99.99 \n", "3 -99.99 -99.99 -99.99 \n", "4 314.90 315.71 314.43 \n", "5 314.98 317.45 315.15 \n", "6 315.06 317.51 314.68 \n", "7 315.14 317.27 315.14 \n", "8 315.21 315.87 315.20 \n", "9 315.28 314.93 316.23 \n", "10 315.35 313.21 316.13 \n", "11 315.40 312.41 315.40 \n", "12 315.46 313.33 315.21 \n", "13 315.51 314.67 315.43 \n", "14 315.57 315.58 315.52 \n", "15 315.63 316.49 315.83 \n", "16 315.69 316.65 315.37 \n", "17 315.77 317.72 315.41 \n", "18 315.85 318.29 315.46 \n", "19 315.94 318.15 316.00 \n", "20 316.03 316.54 315.87 \n", "21 316.12 314.79 316.10 \n", "22 316.22 313.84 316.76 \n", "23 316.31 313.33 316.35 \n", "24 316.39 314.81 316.70 \n", "25 316.47 315.58 316.35 \n", "26 316.55 316.43 316.37 \n", "27 316.64 316.98 316.33 \n", "28 316.71 317.58 316.27 \n", "29 316.79 319.03 316.69 \n", "30 316.86 320.03 317.19 \n", "31 316.92 319.59 317.44 \n", ".. ... ... ... \n", "788 420.95 421.62 420.82 \n", "789 421.26 419.56 421.11 \n", "790 421.57 418.06 421.56 \n", "791 421.88 418.41 422.01 \n", "792 422.19 420.11 422.37 \n", "793 422.49 421.65 422.57 \n", "794 422.79 422.62 422.55 \n", "795 423.08 424.34 423.56 \n", "796 423.35 425.22 423.66 \n", "797 423.64 426.30 423.51 \n", "798 423.91 426.70 423.31 \n", "799 424.19 426.62 424.07 \n", "800 424.46 425.40 424.63 \n", "801 424.74 422.70 424.29 \n", "802 425.02 421.60 425.11 \n", "803 425.28 422.05 425.65 \n", "804 425.53 423.61 425.86 \n", "805 425.77 425.01 425.93 \n", "806 426.01 426.42 426.35 \n", "807 426.24 427.00 426.21 \n", "808 426.44 427.73 426.19 \n", "809 426.65 429.24 426.47 \n", "810 -99.99 430.20 426.80 \n", "811 -99.99 -99.99 -99.99 \n", "812 -99.99 -99.99 -99.99 \n", "813 -99.99 -99.99 -99.99 \n", "814 -99.99 -99.99 -99.99 \n", "815 -99.99 -99.99 -99.99 \n", "816 -99.99 -99.99 -99.99 \n", "817 -99.99 -99.99 -99.99 \n", "\n", "[816 rows x 10 columns]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "df = pd.read_csv(data_file, skiprows=61)\n", "\n", "df = df.drop([0,1])\n", "df = df.rename(columns={' Yr':'Yr', ' Mn':'Mn', ' Date':'Days', ' Date':'YrDecimal', ' CO2':'CO2', 'seasonally':'CO2_seasonally', ' fit':'CO2_fit', ' seasonally':'CO2_fit_wo_cycle', ' CO2':'CO2_filled', ' seasonally':'CO2_seasonally_filled', ' Sta':'Sta'})\n", "df = df.drop('Sta', axis=1)\n", "\n", "df\n", "\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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YrMnDaysYrDecimalCO2CO2_seasonallyCO2_fitCO2_fit_wo_cycleCO2_filledCO2_seasonally_filled
41958.03.021259.01958.2027315.71314.43316.20314.90315.71314.43
51958.04.021290.01958.2877317.45315.15317.30314.98317.45315.15
61958.05.021320.01958.3699317.51314.68317.89315.06317.51314.68
81958.07.021381.01958.5370315.87315.20315.85315.21315.87315.20
91958.08.021412.01958.6219314.93316.23313.95315.28314.93316.23
101958.09.021443.01958.7068313.21316.13312.42315.35313.21316.13
121958.011.021504.01958.8740313.33315.21313.60315.46313.33315.21
131958.012.021534.01958.9562314.67315.43314.76315.51314.67315.43
141959.01.021565.01959.0411315.58315.52315.64315.57315.58315.52
151959.02.021596.01959.1260316.49315.83316.29315.63316.49315.83
161959.03.021624.01959.2027316.65315.37316.99315.69316.65315.37
171959.04.021655.01959.2877317.72315.41318.09315.77317.72315.41
181959.05.021685.01959.3699318.29315.46318.68315.85318.29315.46
191959.06.021716.01959.4548318.15316.00318.08315.94318.15316.00
201959.07.021746.01959.5370316.54315.87316.67316.03316.54315.87
211959.08.021777.01959.6219314.79316.10314.79316.12314.79316.10
221959.09.021808.01959.7068313.84316.76313.28316.22313.84316.76
231959.010.021838.01959.7890313.33316.35313.30316.31313.33316.35
241959.011.021869.01959.8740314.81316.70314.53316.39314.81316.70
251959.012.021899.01959.9562315.58316.35315.72316.47315.58316.35
261960.01.021930.01960.0410316.43316.37316.62316.55316.43316.37
271960.02.021961.01960.1257316.98316.33317.30316.64316.98316.33
281960.03.021990.01960.2049317.58316.27318.04316.71317.58316.27
291960.04.022021.01960.2896319.03316.69319.14316.79319.03316.69
301960.05.022051.01960.3716320.03317.19319.70316.86320.03317.19
311960.06.022082.01960.4563319.59317.44319.04316.92319.59317.44
321960.07.022112.01960.5383318.18317.53317.59316.97318.18317.53
331960.08.022143.01960.6230315.90317.24315.65317.01315.90317.24
341960.09.022174.01960.7077314.17317.11314.09317.05314.17317.11
351960.010.022204.01960.7896313.83316.85314.07317.08313.83316.85
.................................
7812022.012.044910.02022.9562418.46419.38418.25419.15418.46419.38
7822023.01.044941.02023.0411419.13419.06419.45419.37419.13419.06
7832023.02.044972.02023.1260420.33419.56420.39419.60420.33419.56
7842023.03.045000.02023.2027420.51418.98421.37419.83420.51418.98
7852023.04.045031.02023.2877422.73419.98422.87420.09422.73419.98
7862023.05.045061.02023.3699423.78420.39423.75420.36423.78420.39
7872023.06.045092.02023.4548423.39420.82423.21420.66423.39420.82
7882023.07.045122.02023.5370421.62420.82421.71420.95421.62420.82
7892023.08.045153.02023.6219419.56421.11419.66421.26419.56421.11
7902023.09.045184.02023.7068418.06421.56418.06421.57418.06421.56
7912023.010.045214.02023.7890418.41422.01418.29421.88418.41422.01
7922023.011.045245.02023.8740420.11422.37419.96422.19420.11422.37
7932023.012.045275.02023.9562421.65422.57421.59422.49421.65422.57
7942024.01.045306.02024.0410422.62422.55422.87422.79422.62422.55
7952024.02.045337.02024.1257424.34423.56423.87423.08424.34423.56
7962024.03.045366.02024.2049425.22423.66424.93423.35425.22423.66
7972024.04.045397.02024.2896426.30423.51426.45423.64426.30423.51
7982024.05.045427.02024.3716426.70423.31427.30423.91426.70423.31
7992024.06.045458.02024.4563426.62424.07426.72424.19426.62424.07
8002024.07.045488.02024.5383425.40424.63425.20424.46425.40424.63
8012024.08.045519.02024.6230422.70424.29423.11424.74422.70424.29
8022024.09.045550.02024.7077421.60425.11421.49425.02421.60425.11
8032024.010.045580.02024.7896422.05425.65421.69425.28422.05425.65
8042024.011.045611.02024.8743423.61425.86423.31425.53423.61425.86
8052024.012.045641.02024.9563425.01425.93424.87425.77425.01425.93
8062025.01.045672.02025.0411426.42426.35426.09426.01426.42426.35
8072025.02.045703.02025.1260427.00426.21427.03426.24427.00426.21
8082025.03.045731.02025.2027427.73426.19427.99426.44427.73426.19
8092025.04.045762.02025.2877429.24426.47429.44426.65429.24426.47
8102025.05.045792.02025.3699430.20426.80-99.99-99.99430.20426.80
\n", "

802 rows × 10 columns

\n", "
" ], "text/plain": [ " Yr Mn Days YrDecimal CO2 CO2_seasonally CO2_fit \\\n", "4 1958.0 3.0 21259.0 1958.2027 315.71 314.43 316.20 \n", "5 1958.0 4.0 21290.0 1958.2877 317.45 315.15 317.30 \n", "6 1958.0 5.0 21320.0 1958.3699 317.51 314.68 317.89 \n", "8 1958.0 7.0 21381.0 1958.5370 315.87 315.20 315.85 \n", "9 1958.0 8.0 21412.0 1958.6219 314.93 316.23 313.95 \n", "10 1958.0 9.0 21443.0 1958.7068 313.21 316.13 312.42 \n", "12 1958.0 11.0 21504.0 1958.8740 313.33 315.21 313.60 \n", "13 1958.0 12.0 21534.0 1958.9562 314.67 315.43 314.76 \n", "14 1959.0 1.0 21565.0 1959.0411 315.58 315.52 315.64 \n", "15 1959.0 2.0 21596.0 1959.1260 316.49 315.83 316.29 \n", "16 1959.0 3.0 21624.0 1959.2027 316.65 315.37 316.99 \n", "17 1959.0 4.0 21655.0 1959.2877 317.72 315.41 318.09 \n", "18 1959.0 5.0 21685.0 1959.3699 318.29 315.46 318.68 \n", "19 1959.0 6.0 21716.0 1959.4548 318.15 316.00 318.08 \n", "20 1959.0 7.0 21746.0 1959.5370 316.54 315.87 316.67 \n", "21 1959.0 8.0 21777.0 1959.6219 314.79 316.10 314.79 \n", "22 1959.0 9.0 21808.0 1959.7068 313.84 316.76 313.28 \n", "23 1959.0 10.0 21838.0 1959.7890 313.33 316.35 313.30 \n", "24 1959.0 11.0 21869.0 1959.8740 314.81 316.70 314.53 \n", "25 1959.0 12.0 21899.0 1959.9562 315.58 316.35 315.72 \n", "26 1960.0 1.0 21930.0 1960.0410 316.43 316.37 316.62 \n", "27 1960.0 2.0 21961.0 1960.1257 316.98 316.33 317.30 \n", "28 1960.0 3.0 21990.0 1960.2049 317.58 316.27 318.04 \n", "29 1960.0 4.0 22021.0 1960.2896 319.03 316.69 319.14 \n", "30 1960.0 5.0 22051.0 1960.3716 320.03 317.19 319.70 \n", "31 1960.0 6.0 22082.0 1960.4563 319.59 317.44 319.04 \n", "32 1960.0 7.0 22112.0 1960.5383 318.18 317.53 317.59 \n", "33 1960.0 8.0 22143.0 1960.6230 315.90 317.24 315.65 \n", "34 1960.0 9.0 22174.0 1960.7077 314.17 317.11 314.09 \n", "35 1960.0 10.0 22204.0 1960.7896 313.83 316.85 314.07 \n", ".. ... ... ... ... ... ... ... \n", "781 2022.0 12.0 44910.0 2022.9562 418.46 419.38 418.25 \n", "782 2023.0 1.0 44941.0 2023.0411 419.13 419.06 419.45 \n", "783 2023.0 2.0 44972.0 2023.1260 420.33 419.56 420.39 \n", "784 2023.0 3.0 45000.0 2023.2027 420.51 418.98 421.37 \n", "785 2023.0 4.0 45031.0 2023.2877 422.73 419.98 422.87 \n", "786 2023.0 5.0 45061.0 2023.3699 423.78 420.39 423.75 \n", "787 2023.0 6.0 45092.0 2023.4548 423.39 420.82 423.21 \n", "788 2023.0 7.0 45122.0 2023.5370 421.62 420.82 421.71 \n", "789 2023.0 8.0 45153.0 2023.6219 419.56 421.11 419.66 \n", "790 2023.0 9.0 45184.0 2023.7068 418.06 421.56 418.06 \n", "791 2023.0 10.0 45214.0 2023.7890 418.41 422.01 418.29 \n", "792 2023.0 11.0 45245.0 2023.8740 420.11 422.37 419.96 \n", "793 2023.0 12.0 45275.0 2023.9562 421.65 422.57 421.59 \n", "794 2024.0 1.0 45306.0 2024.0410 422.62 422.55 422.87 \n", "795 2024.0 2.0 45337.0 2024.1257 424.34 423.56 423.87 \n", "796 2024.0 3.0 45366.0 2024.2049 425.22 423.66 424.93 \n", "797 2024.0 4.0 45397.0 2024.2896 426.30 423.51 426.45 \n", "798 2024.0 5.0 45427.0 2024.3716 426.70 423.31 427.30 \n", "799 2024.0 6.0 45458.0 2024.4563 426.62 424.07 426.72 \n", "800 2024.0 7.0 45488.0 2024.5383 425.40 424.63 425.20 \n", "801 2024.0 8.0 45519.0 2024.6230 422.70 424.29 423.11 \n", "802 2024.0 9.0 45550.0 2024.7077 421.60 425.11 421.49 \n", "803 2024.0 10.0 45580.0 2024.7896 422.05 425.65 421.69 \n", "804 2024.0 11.0 45611.0 2024.8743 423.61 425.86 423.31 \n", "805 2024.0 12.0 45641.0 2024.9563 425.01 425.93 424.87 \n", "806 2025.0 1.0 45672.0 2025.0411 426.42 426.35 426.09 \n", "807 2025.0 2.0 45703.0 2025.1260 427.00 426.21 427.03 \n", "808 2025.0 3.0 45731.0 2025.2027 427.73 426.19 427.99 \n", "809 2025.0 4.0 45762.0 2025.2877 429.24 426.47 429.44 \n", "810 2025.0 5.0 45792.0 2025.3699 430.20 426.80 -99.99 \n", "\n", " CO2_fit_wo_cycle CO2_filled CO2_seasonally_filled \n", "4 314.90 315.71 314.43 \n", "5 314.98 317.45 315.15 \n", "6 315.06 317.51 314.68 \n", "8 315.21 315.87 315.20 \n", "9 315.28 314.93 316.23 \n", "10 315.35 313.21 316.13 \n", "12 315.46 313.33 315.21 \n", "13 315.51 314.67 315.43 \n", "14 315.57 315.58 315.52 \n", "15 315.63 316.49 315.83 \n", "16 315.69 316.65 315.37 \n", "17 315.77 317.72 315.41 \n", "18 315.85 318.29 315.46 \n", "19 315.94 318.15 316.00 \n", "20 316.03 316.54 315.87 \n", "21 316.12 314.79 316.10 \n", "22 316.22 313.84 316.76 \n", "23 316.31 313.33 316.35 \n", "24 316.39 314.81 316.70 \n", "25 316.47 315.58 316.35 \n", "26 316.55 316.43 316.37 \n", "27 316.64 316.98 316.33 \n", "28 316.71 317.58 316.27 \n", "29 316.79 319.03 316.69 \n", "30 316.86 320.03 317.19 \n", "31 316.92 319.59 317.44 \n", "32 316.97 318.18 317.53 \n", "33 317.01 315.90 317.24 \n", "34 317.05 314.17 317.11 \n", "35 317.08 313.83 316.85 \n", ".. ... ... ... \n", "781 419.15 418.46 419.38 \n", "782 419.37 419.13 419.06 \n", "783 419.60 420.33 419.56 \n", "784 419.83 420.51 418.98 \n", "785 420.09 422.73 419.98 \n", "786 420.36 423.78 420.39 \n", "787 420.66 423.39 420.82 \n", "788 420.95 421.62 420.82 \n", "789 421.26 419.56 421.11 \n", "790 421.57 418.06 421.56 \n", "791 421.88 418.41 422.01 \n", "792 422.19 420.11 422.37 \n", "793 422.49 421.65 422.57 \n", "794 422.79 422.62 422.55 \n", "795 423.08 424.34 423.56 \n", "796 423.35 425.22 423.66 \n", "797 423.64 426.30 423.51 \n", "798 423.91 426.70 423.31 \n", "799 424.19 426.62 424.07 \n", "800 424.46 425.40 424.63 \n", "801 424.74 422.70 424.29 \n", "802 425.02 421.60 425.11 \n", "803 425.28 422.05 425.65 \n", "804 425.53 423.61 425.86 \n", "805 425.77 425.01 425.93 \n", "806 426.01 426.42 426.35 \n", "807 426.24 427.00 426.21 \n", "808 426.44 427.73 426.19 \n", "809 426.65 429.24 426.47 \n", "810 -99.99 430.20 426.80 \n", "\n", "[802 rows x 10 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\n", "df = df.astype(float)\n", "df = df[df['CO2'] != -99.99]\n", "df" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "# Suppose df is your DataFrame\n", "# Example: df = pd.DataFrame({'Day': [...], 'CO2': [...]})\n", "\n", "# Plotting\n", "plt.figure(figsize=(10, 5))\n", "plt.plot(df['Days'], df['CO2'], color='blue')\n", "plt.title('Évolution du CO2 au fil du temps')\n", "plt.xlabel('Jour')\n", "plt.ylabel('Concentration de CO2')\n", "plt.grid(True)\n", "plt.xticks(rotation=45) # utile si les dates sont longues\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "\n", "# Create a new 'Date' column from 'Yr' and 'Mn'\n", "df['Date'] = pd.to_datetime({'year': df['Yr'], 'month': df['Mn'], 'day': 1})\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "\n", "plt.figure(figsize=(10, 5))\n", "plt.plot(df['Date'], df['CO2'], linestyle='-', color='blue')\n", "plt.title('Évolution du CO2 par mois')\n", "plt.xlabel('Date')\n", "plt.ylabel('Concentration de CO2')\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Moyenne mobile sur 12 mois (pour lisser les variations saisonnières)\n", "df['Trend'] = df['CO2'].rolling(window=12, center=True).mean()\n", "\n", "# Composante saisonnière = CO2 - tendance\n", "df['Seasonal'] = df['CO2'] - df['Trend']\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "\n", "plt.figure(figsize=(10, 5))\n", "plt.plot(df['Date'], df['Trend'], linestyle='-', color='blue')\n", "plt.title('Évolution du CO2 par mois sans oscillation')\n", "plt.xlabel('Date')\n", "plt.ylabel('Concentration de CO2')\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "\n", "plt.figure(figsize=(10, 5))\n", "plt.plot(df['Date'], df['Seasonal'], linestyle='-', color='blue')\n", "plt.title('Oscillation du CO2')\n", "plt.xlabel('Date')\n", "plt.ylabel('Concentration de CO2')\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "seasonal_mean_by_month = df.groupby('Mn')['Seasonal'].mean()\n", "\n", "seasonal_mean_by_month.plot(kind='line', marker='o')\n", "plt.title(\"Cycle saisonnier moyen (moyenne par mois)\")\n", "plt.xlabel(\"Mois\")\n", "plt.ylabel(\"Déviation saisonnière (ppm)\")\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Modèle : CO2_tendance = 0.1377 * temps + 305.62\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "from sklearn.linear_model import LinearRegression\n", "\n", "# On nettoie : supprimer les lignes avec NaN dans 'Trend'\n", "df_trend = df.dropna(subset=['Trend']).copy()\n", "\n", "# Créer une variable temporelle : nombre de mois depuis le début\n", "df_trend['Time'] = np.arange(len(df_trend))\n", "\n", "# Modèle linéaire\n", "X = df_trend[['Time']]\n", "y = df_trend['Trend']\n", "\n", "model = LinearRegression()\n", "model.fit(X, y)\n", "\n", "# Coefficients\n", "a = model.coef_[0]\n", "b = model.intercept_\n", "print(f\"Modèle : CO2_tendance = {a:.4f} * temps + {b:.2f}\")\n", "\n", "# Prédictions sur les données existantes\n", "df_trend['PredictedTrend'] = model.predict(X)\n", "\n", "# Étendre jusqu’à fin 2025\n", "last_time = df_trend['Time'].iloc[-1]\n", "future_months = pd.date_range(start=df_trend.index[-1] + pd.offsets.MonthBegin(),\n", " end='2030-12-01',\n", " freq='MS')\n", "future_time = np.arange(last_time + 1, last_time + 1 + len(future_months))\n", "\n", "# Prédictions futures\n", "future_trend = model.predict(future_time.reshape(-1, 1))\n", "\n", "# Créer un DataFrame pour les prédictions futures\n", "df_future = pd.DataFrame({\n", " 'PredictedTrend': future_trend\n", "}, index=future_months)\n", "\n", "# Affichage\n", "plt.figure(figsize=(12, 6))\n", "plt.plot(df_trend.index, df_trend['Trend'], label='Tendance observée', color='blue')\n", "plt.plot(df_trend.index, df_trend['PredictedTrend'], label='Régression linéaire (ajustée)', linestyle='--', color='orange')\n", "plt.plot(df_future.index, df_future['PredictedTrend'], label='Extrapolation jusqu’à 2030', color='red')\n", "plt.title(\"Modèle de tendance linéaire du CO2 et extrapolation\")\n", "plt.xlabel(\"Date\")\n", "plt.ylabel(\"CO2 (ppm)\")\n", "plt.legend()\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from sklearn.preprocessing import PolynomialFeatures\n", "from sklearn.linear_model import LinearRegression\n", "from sklearn.pipeline import make_pipeline\n", "\n", "# Assure-toi que df_trend contient les colonnes 'Time' et 'Trend' (comme dans la version précédente)\n", "# Sinon, reprends les mêmes étapes de nettoyage\n", "\n", "# Créer un pipeline avec transformation polynomiale degré 2\n", "model_poly = make_pipeline(PolynomialFeatures(degree=2), LinearRegression())\n", "X = df_trend[['Time']]\n", "y = df_trend['Trend']\n", "model_poly.fit(X, y)\n", "\n", "# Prédictions actuelles\n", "df_trend['PredictedTrendPoly'] = model_poly.predict(X)\n", "\n", "# Prédictions futures jusqu’en 2030\n", "future_months = pd.date_range(start=df_trend.index[-1] + pd.offsets.MonthBegin(), end='2030-12-01', freq='MS')\n", "future_time = np.arange(df_trend['Time'].iloc[-1] + 1, df_trend['Time'].iloc[-1] + 1 + len(future_months))\n", "future_poly = model_poly.predict(future_time.reshape(-1, 1))\n", "\n", "# Créer DataFrame des prédictions futures\n", "df_future_poly = pd.DataFrame({\n", " 'PredictedTrendPoly': future_poly\n", "}, index=future_months)\n", "\n", "# Affichage\n", "plt.figure(figsize=(12, 6))\n", "plt.plot(df_trend.index, df_trend['Trend'], label='Tendance observée', color='blue')\n", "plt.plot(df_trend.index, df_trend['PredictedTrendPoly'], label='Régression quadratique (ajustée)', linestyle='--', color='orange')\n", "plt.plot(df_future_poly.index, df_future_poly['PredictedTrendPoly'], label='Extrapolation jusqu’en 2030', color='green')\n", "plt.title(\"Modèle quadratique de la tendance CO2 et extrapolation\")\n", "plt.xlabel(\"Date\")\n", "plt.ylabel(\"CO2 (ppm)\")\n", "plt.legend()\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }