diff --git a/module3/exo3/CO2_Mauna_Loa_Hebdo.csv b/module3/exo3/CO2_Mauna_Loa_Hebdo.csv
new file mode 100644
index 0000000000000000000000000000000000000000..8f86b6f2c8d649b724d207fb3afb5cd2c37b4bd6
--- /dev/null
+++ b/module3/exo3/CO2_Mauna_Loa_Hebdo.csv
@@ -0,0 +1,3234 @@
+"-------------------------------------------------------------------------------------------"
+" Atmospheric CO2 concentrations (ppm) derived from in situ air measurements "
+" at Mauna Loa, Observatory, Hawaii: Latitude 19.5°N Longitude 155.6°W Elevation 3397m "
+" "
+" Source: R. F. Keeling, S. J. Walker, S. C. Piper and A. F. Bollenbacher "
+" Scripps CO2 Program ( http://scrippsco2.ucsd.edu ) "
+" Scripps Institution of Oceanography (SIO) "
+" University of California "
+" La Jolla, California USA 92093-0244 "
+" "
+" Status of data and correspondence: "
+" "
+" These data are subject to revision based on recalibration of standard gases. Questions "
+" about the data should be directed to Dr. Ralph Keeling (rkeeling@ucsd.edu), Stephen Walker"
+" (sjwalker@ucsd.edu) and Stephen Piper (scpiper@ucsd.edu), Scripps CO2 Program. "
+" "
+" Baseline data in this file through 05-Oct-2020 from archive dated 06-Oct-2020 12:01:19 "
+" "
+"-------------------------------------------------------------------------------------------"
+" "
+" Please cite as: "
+" "
+" C. D. Keeling, S. C. Piper, R. B. Bacastow, M. Wahlen, T. P. Whorf, M. Heimann, and "
+" H. A. Meijer, Exchanges of atmospheric CO2 and 13CO2 with the terrestrial biosphere and "
+" oceans from 1978 to 2000. I. Global aspects, SIO Reference Series, No. 01-06, Scripps "
+" Institution of Oceanography, San Diego, 88 pages, 2001. "
+" "
+" If it is necessary to cite a peer-reviewed article, please cite as: "
+" "
+" C. D. Keeling, S. C. Piper, R. B. Bacastow, M. Wahlen, T. P. Whorf, M. Heimann, and "
+" H. A. Meijer, Atmospheric CO2 and 13CO2 exchange with the terrestrial biosphere and "
+" oceans from 1978 to 2000: observations and carbon cycle implications, pages 83-113, "
+" in "A History of Atmospheric CO2 and its effects on Plants, Animals, and Ecosystems", "
+" editors, Ehleringer, J.R., T. E. Cerling, M. D. Dearing, Springer Verlag, "
+" New York, 2005. "
+" "
+"-------------------------------------------------------------------------------------------"
+" "
+" "
+" The data file below contains 2 columns indicaing the date and CO2 "
+" concentrations in micro-mol CO2 per mole (ppm), reported on the 2008A "
+" SIO manometric mole fraction scale. These weekly values have been "
+" adjusted to 12:00 hours at middle day of each weekly period as "
+" indicated by the date in the first column. "
+1958-03-29, 316.19
+1958-04-05, 317.31
+1958-04-12, 317.69
+1958-04-19, 317.58
+1958-04-26, 316.48
+1958-05-03, 316.95
+1958-05-17, 317.56
+1958-05-24, 317.99
+1958-07-05, 315.85
+1958-07-12, 315.85
+1958-07-19, 315.46
+1958-07-26, 315.59
+1958-08-02, 315.64
+1958-08-09, 315.10
+1958-08-16, 315.09
+1958-08-30, 314.14
+1958-09-06, 313.54
+1958-11-08, 313.05
+1958-11-15, 313.26
+1958-11-22, 313.57
+1958-11-29, 314.01
+1958-12-06, 314.56
+1958-12-13, 314.41
+1958-12-20, 314.77
+1958-12-27, 315.21
+1959-01-03, 315.24
+1959-01-10, 315.50
+1959-01-17, 315.69
+1959-01-24, 315.86
+1959-01-31, 315.42
+1959-02-14, 316.94
+1959-02-21, 316.61
+1959-02-28, 316.62
+1959-03-07, 316.81
+1959-03-21, 316.73
+1959-03-28, 316.71
+1959-04-04, 317.72
+1959-04-11, 317.12
+1959-04-18, 317.64
+1959-04-25, 318.32
+1959-05-02, 318.27
+1959-05-09, 318.78
+1959-05-16, 318.05
+1959-05-23, 318.43
+1959-06-06, 318.53
+1959-06-13, 318.14
+1959-06-20, 317.88
+1959-06-27, 317.76
+1959-07-04, 316.86
+1959-07-11, 316.83
+1959-07-18, 316.45
+1959-07-25, 316.16
+1959-08-01, 315.62
+1959-08-08, 314.91
+1959-08-22, 315.00
+1959-08-29, 314.15
+1959-09-05, 314.45
+1959-09-12, 313.93
+1959-09-19, 313.57
+1959-09-26, 313.54
+1959-10-03, 313.04
+1959-10-10, 313.15
+1959-10-17, 313.43
+1959-10-24, 313.46
+1959-10-31, 314.12
+1959-11-07, 314.42
+1959-11-14, 314.88
+1959-11-21, 315.20
+1959-11-28, 315.11
+1959-12-05, 315.06
+1959-12-12, 315.64
+1959-12-19, 315.86
+1959-12-26, 315.77
+1960-01-02, 315.72
+1960-01-09, 316.40
+1960-01-16, 316.73
+1960-01-23, 316.57
+1960-01-30, 316.68
+1960-02-06, 316.61
+1960-02-13, 316.98
+1960-02-20, 317.42
+1960-02-27, 317.00
+1960-03-05, 316.96
+1960-03-12, 317.76
+1960-03-19, 318.07
+1960-03-26, 317.77
+1960-04-02, 318.61
+1960-04-09, 319.34
+1960-04-16, 319.01
+1960-04-23, 319.03
+1960-04-30, 319.77
+1960-05-07, 319.96
+1960-05-14, 319.82
+1960-05-21, 320.04
+1960-05-28, 320.06
+1960-06-04, 319.46
+1960-06-11, 320.08
+1960-06-18, 319.42
+1960-06-25, 319.09
+1960-07-02, 318.18
+1960-07-09, 318.64
+1960-07-16, 318.41
+1960-07-23, 317.91
+1960-07-30, 317.33
+1960-08-06, 316.62
+1960-08-13, 316.70
+1960-08-20, 315.10
+1960-08-27, 314.78
+1960-09-03, 314.72
+1960-09-10, 314.58
+1960-09-17, 314.28
+1960-09-24, 313.33
+1960-10-01, 313.66
+1960-10-08, 313.32
+1960-10-15, 313.92
+1960-10-22, 314.21
+1960-10-29, 314.29
+1960-11-05, 314.50
+1960-11-12, 315.10
+1960-11-19, 315.10
+1960-11-26, 315.41
+1960-12-03, 315.84
+1960-12-10, 316.07
+1960-12-17, 316.21
+1960-12-24, 316.40
+1960-12-31, 316.67
+1961-01-07, 316.73
+1961-01-14, 317.02
+1961-01-21, 317.03
+1961-01-28, 317.01
+1961-02-04, 317.06
+1961-02-11, 317.75
+1961-02-18, 317.94
+1961-02-25, 318.00
+1961-03-04, 318.04
+1961-03-11, 318.51
+1961-03-18, 318.92
+1961-03-25, 318.71
+1961-04-01, 319.41
+1961-04-08, 319.55
+1961-04-15, 318.90
+1961-04-22, 319.74
+1961-04-29, 319.67
+1961-05-06, 320.67
+1961-05-13, 320.46
+1961-05-20, 320.61
+1961-05-27, 320.36
+1961-06-03, 320.09
+1961-06-10, 320.02
+1961-06-17, 319.62
+1961-06-24, 319.49
+1961-07-01, 319.26
+1961-07-08, 319.07
+1961-07-15, 318.49
+1961-07-22, 317.16
+1961-07-29, 317.97
+1961-08-05, 317.91
+1961-08-12, 317.33
+1961-08-19, 316.76
+1961-08-26, 315.26
+1961-09-02, 315.28
+1961-09-09, 314.97
+1961-09-16, 314.53
+1961-09-23, 315.06
+1961-09-30, 315.61
+1961-10-07, 314.97
+1961-10-14, 315.43
+1961-10-21, 315.48
+1961-10-28, 315.72
+1961-11-04, 315.82
+1961-11-11, 315.70
+1961-11-18, 316.21
+1961-11-25, 316.55
+1961-12-02, 316.52
+1961-12-09, 317.02
+1961-12-16, 316.94
+1961-12-23, 317.18
+1961-12-30, 317.46
+1962-01-06, 317.99
+1962-01-13, 318.12
+1962-01-20, 318.07
+1962-01-27, 317.78
+1962-02-03, 318.08
+1962-02-10, 318.35
+1962-02-17, 318.92
+1962-02-24, 319.38
+1962-03-03, 319.28
+1962-03-10, 319.46
+1962-03-17, 319.95
+1962-03-24, 319.78
+1962-03-31, 320.27
+1962-04-07, 320.26
+1962-04-14, 321.03
+1962-04-21, 320.78
+1962-04-28, 320.36
+1962-05-05, 320.89
+1962-05-12, 320.78
+1962-05-19, 321.05
+1962-05-26, 321.16
+1962-06-02, 320.91
+1962-06-09, 320.87
+1962-06-16, 320.52
+1962-06-23, 320.15
+1962-06-30, 320.23
+1962-07-07, 320.10
+1962-07-14, 319.95
+1962-07-21, 319.01
+1962-07-28, 318.75
+1962-08-04, 318.68
+1962-08-11, 317.24
+1962-08-18, 317.48
+1962-09-15, 316.65
+1962-09-22, 315.72
+1962-09-29, 315.92
+1962-10-06, 315.10
+1962-10-13, 315.40
+1962-10-20, 315.72
+1962-10-27, 315.78
+1962-11-03, 315.94
+1962-11-10, 316.49
+1962-11-17, 316.92
+1962-11-24, 317.08
+1962-12-01, 317.19
+1962-12-08, 317.31
+1962-12-15, 317.66
+1962-12-22, 318.18
+1963-01-05, 318.54
+1963-01-12, 318.73
+1963-01-19, 318.90
+1963-01-26, 318.82
+1963-02-02, 318.77
+1963-02-09, 318.95
+1963-02-23, 319.37
+1963-03-02, 319.35
+1963-03-09, 319.70
+1963-03-16, 319.80
+1963-03-23, 320.34
+1963-03-30, 320.29
+1963-04-06, 320.38
+1963-04-13, 320.96
+1963-04-20, 322.05
+1963-04-27, 321.92
+1963-05-11, 321.97
+1963-05-18, 322.28
+1963-05-25, 322.27
+1963-06-01, 322.32
+1963-06-08, 322.09
+1963-06-15, 321.83
+1963-06-22, 320.88
+1963-06-29, 320.49
+1963-07-06, 320.12
+1963-07-13, 319.82
+1963-07-20, 319.56
+1963-07-27, 319.06
+1963-08-03, 318.60
+1963-08-10, 318.27
+1963-08-17, 317.73
+1963-08-24, 317.12
+1963-08-31, 316.44
+1963-09-07, 316.81
+1963-09-14, 315.99
+1963-09-21, 316.03
+1963-09-28, 315.93
+1963-10-05, 316.28
+1963-10-12, 315.65
+1963-10-19, 316.14
+1963-10-26, 316.36
+1963-11-02, 316.63
+1963-11-09, 316.83
+1963-11-16, 317.13
+1963-11-30, 317.56
+1963-12-07, 318.07
+1963-12-14, 318.27
+1963-12-21, 318.59
+1963-12-28, 318.74
+1964-01-04, 319.04
+1964-01-11, 319.49
+1964-01-18, 319.88
+1964-05-30, 322.07
+1964-06-06, 322.06
+1964-06-27, 321.57
+1964-07-04, 321.14
+1964-07-11, 319.95
+1964-07-18, 320.28
+1964-07-25, 320.02
+1964-08-01, 319.14
+1964-08-15, 318.61
+1964-08-22, 318.23
+1964-08-29, 318.11
+1964-09-05, 317.48
+1964-09-12, 316.57
+1964-09-19, 315.59
+1964-09-26, 317.01
+1964-10-03, 316.93
+1964-10-10, 316.51
+1964-10-17, 316.86
+1964-10-24, 317.05
+1964-10-31, 317.65
+1964-11-07, 317.77
+1964-11-14, 317.65
+1964-11-21, 317.52
+1964-11-28, 318.11
+1964-12-05, 318.42
+1964-12-12, 318.58
+1964-12-19, 318.93
+1964-12-26, 318.91
+1965-01-02, 319.08
+1965-01-09, 319.17
+1965-01-16, 319.16
+1965-01-23, 319.79
+1965-01-30, 320.12
+1965-02-06, 320.20
+1965-02-13, 320.16
+1965-02-20, 320.70
+1965-02-27, 320.89
+1965-03-06, 321.07
+1965-03-13, 320.98
+1965-03-20, 320.49
+1965-03-27, 321.40
+1965-04-03, 321.95
+1965-04-10, 322.27
+1965-04-17, 322.17
+1965-04-24, 321.86
+1965-05-01, 322.46
+1965-05-08, 322.22
+1965-05-15, 321.94
+1965-05-22, 321.69
+1965-05-29, 322.26
+1965-06-05, 321.87
+1965-06-12, 321.77
+1965-06-19, 321.77
+1965-06-26, 321.99
+1965-07-03, 321.97
+1965-07-10, 321.85
+1965-07-17, 321.76
+1965-07-24, 320.47
+1965-07-31, 319.49
+1965-08-07, 319.47
+1965-08-14, 318.02
+1965-08-21, 318.82
+1965-08-28, 318.73
+1965-09-04, 318.39
+1965-09-11, 318.05
+1965-09-18, 318.26
+1965-09-25, 316.85
+1965-10-02, 316.60
+1965-10-09, 317.26
+1965-10-16, 317.86
+1965-10-23, 317.56
+1965-10-30, 317.63
+1965-11-06, 318.30
+1965-11-13, 319.26
+1965-11-20, 318.99
+1965-11-27, 319.17
+1965-12-04, 319.09
+1965-12-11, 319.37
+1965-12-18, 319.39
+1965-12-25, 319.70
+1966-01-01, 319.69
+1966-01-08, 320.49
+1966-01-15, 320.63
+1966-01-22, 321.09
+1966-01-29, 321.16
+1966-02-05, 321.26
+1966-02-12, 321.75
+1966-02-19, 321.67
+1966-02-26, 321.80
+1966-03-05, 322.10
+1966-03-12, 322.14
+1966-03-19, 322.57
+1966-03-26, 322.86
+1966-04-02, 323.55
+1966-04-09, 323.62
+1966-04-16, 323.88
+1966-04-23, 323.91
+1966-04-30, 323.53
+1966-05-07, 324.00
+1966-05-14, 324.10
+1966-05-21, 323.72
+1966-05-28, 324.31
+1966-06-04, 324.02
+1966-06-11, 323.88
+1966-06-18, 323.75
+1966-06-25, 323.32
+1966-07-02, 322.82
+1966-07-09, 322.90
+1966-08-06, 321.31
+1966-08-13, 320.85
+1966-08-20, 319.16
+1966-08-27, 319.64
+1966-09-03, 319.94
+1966-09-10, 318.22
+1966-09-17, 318.46
+1966-09-24, 318.31
+1966-10-01, 317.90
+1966-10-08, 317.90
+1966-10-15, 318.21
+1966-10-22, 318.61
+1966-10-29, 318.39
+1966-11-12, 319.59
+1966-11-19, 320.03
+1966-11-26, 320.24
+1966-12-03, 320.80
+1966-12-10, 320.87
+1966-12-17, 321.16
+1966-12-24, 321.31
+1966-12-31, 321.37
+1967-01-07, 321.92
+1967-01-14, 322.93
+1967-02-04, 322.19
+1967-02-11, 322.23
+1967-02-18, 322.86
+1967-02-25, 322.60
+1967-03-04, 322.94
+1967-03-11, 322.60
+1967-03-18, 323.33
+1967-03-25, 323.24
+1967-04-01, 323.15
+1967-04-08, 324.21
+1967-04-15, 324.41
+1967-04-22, 324.60
+1967-04-29, 325.16
+1967-05-06, 325.26
+1967-05-13, 324.78
+1967-05-20, 325.09
+1967-05-27, 324.94
+1967-06-03, 324.95
+1967-06-10, 324.65
+1967-06-17, 323.31
+1967-06-24, 323.50
+1967-07-01, 322.89
+1967-07-08, 322.85
+1967-07-15, 322.45
+1967-07-22, 322.40
+1967-07-29, 322.04
+1967-08-05, 321.65
+1967-08-12, 321.40
+1967-08-19, 320.48
+1967-08-26, 320.01
+1967-09-02, 320.07
+1967-09-09, 319.43
+1967-09-16, 319.35
+1967-09-23, 319.03
+1967-09-30, 318.81
+1967-10-07, 318.88
+1967-10-14, 319.86
+1967-10-21, 319.47
+1967-10-28, 319.86
+1967-11-04, 320.01
+1967-11-11, 320.34
+1967-11-18, 320.91
+1967-11-25, 321.54
+1967-12-02, 321.40
+1967-12-09, 321.89
+1967-12-16, 322.29
+1967-12-23, 321.98
+1967-12-30, 322.30
+1968-01-06, 322.46
+1968-01-13, 322.50
+1968-01-20, 322.59
+1968-01-27, 322.83
+1968-02-03, 322.66
+1968-02-10, 323.17
+1968-02-17, 323.46
+1968-02-24, 323.18
+1968-03-02, 323.15
+1968-03-09, 323.85
+1968-03-16, 323.85
+1968-03-23, 324.21
+1968-03-30, 324.77
+1968-04-06, 324.79
+1968-04-13, 325.04
+1968-04-20, 324.84
+1968-04-27, 325.45
+1968-05-04, 325.63
+1968-05-11, 325.09
+1968-05-18, 325.52
+1968-05-25, 325.86
+1968-06-01, 325.67
+1968-06-08, 325.71
+1968-06-15, 325.56
+1968-06-22, 324.99
+1968-06-29, 324.63
+1968-07-06, 324.70
+1968-07-13, 324.13
+1968-07-20, 323.94
+1968-07-27, 323.40
+1968-08-03, 322.49
+1968-08-10, 322.27
+1968-08-17, 322.02
+1968-08-24, 321.74
+1968-08-31, 321.42
+1968-09-07, 320.44
+1968-09-14, 321.18
+1968-09-21, 319.78
+1968-09-28, 319.89
+1968-10-05, 320.57
+1968-10-12, 320.52
+1968-10-19, 320.26
+1968-10-26, 319.92
+1968-11-02, 320.70
+1968-11-09, 320.89
+1968-11-16, 321.40
+1968-11-23, 321.78
+1968-11-30, 322.06
+1968-12-07, 322.44
+1968-12-14, 322.91
+1968-12-21, 323.33
+1968-12-28, 323.19
+1969-01-04, 323.39
+1969-01-11, 324.06
+1969-01-18, 324.36
+1969-01-25, 324.14
+1969-02-01, 324.16
+1969-02-08, 323.92
+1969-02-15, 324.37
+1969-02-22, 324.86
+1969-03-01, 325.14
+1969-03-08, 325.58
+1969-03-15, 325.72
+1969-03-22, 325.96
+1969-03-29, 325.89
+1969-04-05, 326.27
+1969-04-12, 327.13
+1969-04-19, 326.58
+1969-04-26, 326.57
+1969-05-03, 327.52
+1969-05-10, 327.82
+1969-05-17, 326.86
+1969-05-24, 326.92
+1969-05-31, 327.43
+1969-06-07, 326.51
+1969-06-14, 326.78
+1969-06-21, 326.73
+1969-06-28, 326.37
+1969-07-05, 326.16
+1969-07-12, 326.07
+1969-07-19, 325.72
+1969-07-26, 325.47
+1969-08-02, 324.50
+1969-08-09, 324.56
+1969-08-16, 323.14
+1969-08-23, 322.56
+1969-08-30, 323.14
+1969-09-06, 322.21
+1969-09-13, 322.79
+1969-09-20, 322.84
+1969-09-27, 321.96
+1969-10-04, 321.50
+1969-10-11, 321.82
+1969-10-18, 322.00
+1969-10-25, 321.93
+1969-11-01, 322.21
+1969-11-08, 322.64
+1969-11-15, 322.78
+1969-11-22, 323.10
+1969-11-29, 323.52
+1969-12-06, 323.91
+1969-12-13, 323.99
+1969-12-20, 324.22
+1969-12-27, 324.50
+1970-01-03, 324.70
+1970-01-10, 325.40
+1970-01-17, 325.05
+1970-01-24, 324.80
+1970-01-31, 325.55
+1970-02-07, 325.70
+1970-02-14, 326.02
+1970-02-21, 326.32
+1970-02-28, 326.17
+1970-03-07, 326.85
+1970-03-14, 326.80
+1970-03-21, 327.51
+1970-03-28, 326.95
+1970-04-04, 328.20
+1970-04-11, 327.84
+1970-04-18, 327.81
+1970-04-25, 328.55
+1970-05-02, 327.99
+1970-05-09, 327.56
+1970-05-16, 328.03
+1970-05-23, 328.33
+1970-05-30, 327.98
+1970-06-06, 327.55
+1970-06-13, 327.86
+1970-06-20, 327.71
+1970-06-27, 327.23
+1970-07-04, 327.29
+1970-07-11, 326.24
+1970-07-18, 326.28
+1970-07-25, 325.63
+1970-08-01, 325.24
+1970-08-08, 325.21
+1970-08-15, 324.86
+1970-08-22, 324.84
+1970-08-29, 323.33
+1970-09-05, 322.97
+1970-09-12, 323.58
+1970-09-19, 323.18
+1970-09-26, 323.15
+1970-10-03, 323.21
+1970-10-10, 323.56
+1970-10-17, 322.92
+1970-10-24, 323.02
+1970-10-31, 323.18
+1970-11-07, 323.69
+1970-11-14, 323.76
+1970-11-21, 324.23
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diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb
index cddb5e877f7de4d9b6c888a1310d6fbd18e38731..373dc3c13eff587e4cd313b3e2a0036544fd332f 100644
--- a/module3/exo3/exercice.ipynb
+++ b/module3/exo3/exercice.ipynb
@@ -9,7 +9,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -35,7 +35,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -51,7 +51,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -60,7 +60,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -74,7 +74,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Le jeu de données est téléchargé le 01/10/2020 à 17h44."
+ "Le jeu de données est téléchargé le 08/10/2020 à 16h30."
]
},
{
@@ -92,9 +92,136 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1 \"-------------------------------------------------------------------------------------------\"\n",
+ "\n",
+ "2 \" Atmospheric CO2 concentrations (ppm) derived from in situ air measurements \"\n",
+ "\n",
+ "3 \" at Mauna Loa, Observatory, Hawaii: Latitude 19.5°N Longitude 155.6°W Elevation 3397m \"\n",
+ "\n",
+ "4 \" \"\n",
+ "\n",
+ "5 \" Source: R. F. Keeling, S. J. Walker, S. C. Piper and A. F. Bollenbacher \"\n",
+ "\n",
+ "6 \" Scripps CO2 Program ( http://scrippsco2.ucsd.edu ) \"\n",
+ "\n",
+ "7 \" Scripps Institution of Oceanography (SIO) \"\n",
+ "\n",
+ "8 \" University of California \"\n",
+ "\n",
+ "9 \" La Jolla, California USA 92093-0244 \"\n",
+ "\n",
+ "10 \" \"\n",
+ "\n",
+ "11 \" Status of data and correspondence: \"\n",
+ "\n",
+ "12 \" \"\n",
+ "\n",
+ "13 \" These data are subject to revision based on recalibration of standard gases. Questions \"\n",
+ "\n",
+ "14 \" about the data should be directed to Dr. Ralph Keeling (rkeeling@ucsd.edu), Stephen Walker\"\n",
+ "\n",
+ "15 \" (sjwalker@ucsd.edu) and Stephen Piper (scpiper@ucsd.edu), Scripps CO2 Program. \"\n",
+ "\n",
+ "16 \" \"\n",
+ "\n",
+ "17 \" Baseline data in this file through 05-Oct-2020 from archive dated 06-Oct-2020 12:01:19 \"\n",
+ "\n",
+ "18 \" \"\n",
+ "\n",
+ "19 \"-------------------------------------------------------------------------------------------\"\n",
+ "\n",
+ "20 \" \"\n",
+ "\n",
+ "21 \" Please cite as: \"\n",
+ "\n",
+ "22 \" \"\n",
+ "\n",
+ "23 \" C. D. Keeling, S. C. Piper, R. B. Bacastow, M. Wahlen, T. P. Whorf, M. Heimann, and \"\n",
+ "\n",
+ "24 \" H. A. Meijer, Exchanges of atmospheric CO2 and 13CO2 with the terrestrial biosphere and \"\n",
+ "\n",
+ "25 \" oceans from 1978 to 2000. I. Global aspects, SIO Reference Series, No. 01-06, Scripps \"\n",
+ "\n",
+ "26 \" Institution of Oceanography, San Diego, 88 pages, 2001. \"\n",
+ "\n",
+ "27 \" \"\n",
+ "\n",
+ "28 \" If it is necessary to cite a peer-reviewed article, please cite as: \"\n",
+ "\n",
+ "29 \" \"\n",
+ "\n",
+ "30 \" C. D. Keeling, S. C. Piper, R. B. Bacastow, M. Wahlen, T. P. Whorf, M. Heimann, and \"\n",
+ "\n",
+ "31 \" H. A. Meijer, Atmospheric CO2 and 13CO2 exchange with the terrestrial biosphere and \"\n",
+ "\n",
+ "32 \" oceans from 1978 to 2000: observations and carbon cycle implications, pages 83-113, \"\n",
+ "\n",
+ "33 \" in \"A History of Atmospheric CO2 and its effects on Plants, Animals, and Ecosystems\", \"\n",
+ "\n",
+ "34 \" editors, Ehleringer, J.R., T. E. Cerling, M. D. Dearing, Springer Verlag, \"\n",
+ "\n",
+ "35 \" New York, 2005. \"\n",
+ "\n",
+ "36 \" \"\n",
+ "\n",
+ "37 \"-------------------------------------------------------------------------------------------\"\n",
+ "\n",
+ "38 \" \"\n",
+ "\n",
+ "39 \" \"\n",
+ "\n",
+ "40 \" The data file below contains 2 columns indicaing the date and CO2 \"\n",
+ "\n",
+ "41 \" concentrations in micro-mol CO2 per mole (ppm), reported on the 2008A \"\n",
+ "\n",
+ "42 \" SIO manometric mole fraction scale. These weekly values have been \"\n",
+ "\n",
+ "43 \" adjusted to 12:00 hours at middle day of each weekly period as \"\n",
+ "\n",
+ "44 \" indicated by the date in the first column. \"\n",
+ "\n",
+ "45 1958-03-29, 316.19\n",
+ "\n",
+ "46 1958-04-05, 317.31\n",
+ "\n",
+ "47 1958-04-12, 317.69\n",
+ "\n",
+ "48 1958-04-19, 317.58\n",
+ "\n",
+ "49 1958-04-26, 316.48\n",
+ "\n",
+ "50 1958-05-03, 316.95\n",
+ "\n",
+ "51 1958-05-17, 317.56\n",
+ "\n",
+ "52 1958-05-24, 317.99\n",
+ "\n",
+ "53 1958-07-05, 315.85\n",
+ "\n",
+ "54 1958-07-12, 315.85\n",
+ "\n",
+ "55 1958-07-19, 315.46\n",
+ "\n",
+ "56 1958-07-26, 315.59\n",
+ "\n",
+ "57 1958-08-02, 315.64\n",
+ "\n",
+ "58 1958-08-09, 315.10\n",
+ "\n",
+ "59 1958-08-16, 315.09\n",
+ "\n",
+ "60 1958-08-30, 314.14\n",
+ "\n"
+ ]
+ }
+ ],
"source": [
"Lignes = []\n",
"with open(data_file, \"r\", encoding='utf-8') as entree:\n",
@@ -113,9 +240,78 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Date | \n",
+ " CO2 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1958-03-29 | \n",
+ " 316.19 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 1958-04-05 | \n",
+ " 317.31 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 1958-04-12 | \n",
+ " 317.69 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 1958-04-19 | \n",
+ " 317.58 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 1958-04-26 | \n",
+ " 316.48 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Date | \n",
+ " CO2 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 3185 | \n",
+ " 2020-08-29 | \n",
+ " 411.79 | \n",
+ "
\n",
+ " \n",
+ " | 3186 | \n",
+ " 2020-09-05 | \n",
+ " 411.55 | \n",
+ "
\n",
+ " \n",
+ " | 3187 | \n",
+ " 2020-09-12 | \n",
+ " 411.45 | \n",
+ "
\n",
+ " \n",
+ " | 3188 | \n",
+ " 2020-09-19 | \n",
+ " 411.17 | \n",
+ "
\n",
+ " \n",
+ " | 3189 | \n",
+ " 2020-09-26 | \n",
+ " 411.06 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Date | \n",
+ " CO2 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Date | \n",
+ " Week | \n",
+ " CO2 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 4 | \n",
+ " 1958-04-26 | \n",
+ " 17 | \n",
+ " 316.48 | \n",
+ "
\n",
+ " \n",
+ " | 5 | \n",
+ " 1958-05-03 | \n",
+ " 18 | \n",
+ " 316.95 | \n",
+ "
\n",
+ " \n",
+ " | 6 | \n",
+ " 1958-05-10 | \n",
+ " 19 | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 7 | \n",
+ " 1958-05-17 | \n",
+ " 20 | \n",
+ " 317.56 | \n",
+ "
\n",
+ " \n",
+ " | 8 | \n",
+ " 1958-05-24 | \n",
+ " 21 | \n",
+ " 317.99 | \n",
+ "
\n",
+ " \n",
+ " | 9 | \n",
+ " 1958-05-31 | \n",
+ " 22 | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 10 | \n",
+ " 1958-06-07 | \n",
+ " 23 | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 11 | \n",
+ " 1958-06-14 | \n",
+ " 24 | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 12 | \n",
+ " 1958-06-21 | \n",
+ " 25 | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 13 | \n",
+ " 1958-06-28 | \n",
+ " 26 | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 14 | \n",
+ " 1958-07-05 | \n",
+ " 27 | \n",
+ " 315.85 | \n",
+ "
\n",
+ " \n",
+ " | 15 | \n",
+ " 1958-07-12 | \n",
+ " 28 | \n",
+ " 315.85 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"df.plot('Date', 'CO2')"
]
@@ -288,9 +783,32 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"df[-500:-300].plot('Date', 'CO2')"
]
@@ -304,9 +822,32 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"df[200:350].plot('Date', 'CO2')"
]
@@ -334,9 +875,119 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Date | \n",
+ " Week | \n",
+ " CO2 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 3250 | \n",
+ " 2020-07-11 | \n",
+ " 28 | \n",
+ " 414.91 | \n",
+ "
\n",
+ " \n",
+ " | 3251 | \n",
+ " 2020-07-18 | \n",
+ " 29 | \n",
+ " 414.29 | \n",
+ "
\n",
+ " \n",
+ " | 3252 | \n",
+ " 2020-07-25 | \n",
+ " 30 | \n",
+ " 413.63 | \n",
+ "
\n",
+ " \n",
+ " | 3253 | \n",
+ " 2020-08-01 | \n",
+ " 31 | \n",
+ " 413.42 | \n",
+ "
\n",
+ " \n",
+ " | 3254 | \n",
+ " 2020-08-08 | \n",
+ " 32 | \n",
+ " 412.85 | \n",
+ "
\n",
+ " \n",
+ " | 3255 | \n",
+ " 2020-08-15 | \n",
+ " 33 | \n",
+ " 412.75 | \n",
+ "
\n",
+ " \n",
+ " | 3256 | \n",
+ " 2020-08-22 | \n",
+ " 34 | \n",
+ " 412.25 | \n",
+ "
\n",
+ " \n",
+ " | 3257 | \n",
+ " 2020-08-29 | \n",
+ " 35 | \n",
+ " 411.79 | \n",
+ "
\n",
+ " \n",
+ " | 3258 | \n",
+ " 2020-09-05 | \n",
+ " 36 | \n",
+ " 411.55 | \n",
+ "
\n",
+ " \n",
+ " | 3259 | \n",
+ " 2020-09-12 | \n",
+ " 37 | \n",
+ " 411.45 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Date | \n",
+ " Week | \n",
+ " CO2 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 4 | \n",
+ " 1958-04-26 | \n",
+ " 17 | \n",
+ " 316.480000 | \n",
+ "
\n",
+ " \n",
+ " | 5 | \n",
+ " 1958-05-03 | \n",
+ " 18 | \n",
+ " 316.950000 | \n",
+ "
\n",
+ " \n",
+ " | 6 | \n",
+ " 1958-05-10 | \n",
+ " 19 | \n",
+ " 317.255000 | \n",
+ "
\n",
+ " \n",
+ " | 7 | \n",
+ " 1958-05-17 | \n",
+ " 20 | \n",
+ " 317.560000 | \n",
+ "
\n",
+ " \n",
+ " | 8 | \n",
+ " 1958-05-24 | \n",
+ " 21 | \n",
+ " 317.990000 | \n",
+ "
\n",
+ " \n",
+ " | 9 | \n",
+ " 1958-05-31 | \n",
+ " 22 | \n",
+ " 317.633333 | \n",
+ "
\n",
+ " \n",
+ " | 10 | \n",
+ " 1958-06-07 | \n",
+ " 23 | \n",
+ " 317.276667 | \n",
+ "
\n",
+ " \n",
+ " | 11 | \n",
+ " 1958-06-14 | \n",
+ " 24 | \n",
+ " 316.920000 | \n",
+ "
\n",
+ " \n",
+ " | 12 | \n",
+ " 1958-06-21 | \n",
+ " 25 | \n",
+ " 316.563333 | \n",
+ "
\n",
+ " \n",
+ " | 13 | \n",
+ " 1958-06-28 | \n",
+ " 26 | \n",
+ " 316.206667 | \n",
+ "
\n",
+ " \n",
+ " | 14 | \n",
+ " 1958-07-05 | \n",
+ " 27 | \n",
+ " 315.850000 | \n",
+ "
\n",
+ " \n",
+ " | 15 | \n",
+ " 1958-07-12 | \n",
+ " 28 | \n",
+ " 315.850000 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Date | \n",
+ " Week | \n",
+ " CO2 | \n",
+ " Prév_LT | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1958-03-29 | \n",
+ " 13 | \n",
+ " 316.19 | \n",
+ " 314.693329 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 1958-04-05 | \n",
+ " 14 | \n",
+ " 317.31 | \n",
+ " 314.707831 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 1958-04-12 | \n",
+ " 15 | \n",
+ " 317.69 | \n",
+ " 314.722342 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 1958-04-19 | \n",
+ " 16 | \n",
+ " 317.58 | \n",
+ " 314.736864 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 1958-04-26 | \n",
+ " 17 | \n",
+ " 316.48 | \n",
+ " 314.751394 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Date | \n",
+ " Week | \n",
+ " CO2 | \n",
+ " Prév_LT | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 3531 | \n",
+ " 2025-11-29 | \n",
+ " 48 | \n",
+ " NaN | \n",
+ " 426.260137 | \n",
+ "
\n",
+ " \n",
+ " | 3532 | \n",
+ " 2025-12-06 | \n",
+ " 49 | \n",
+ " NaN | \n",
+ " 426.308837 | \n",
+ "
\n",
+ " \n",
+ " | 3533 | \n",
+ " 2025-12-13 | \n",
+ " 50 | \n",
+ " NaN | \n",
+ " 426.357548 | \n",
+ "
\n",
+ " \n",
+ " | 3534 | \n",
+ " 2025-12-20 | \n",
+ " 51 | \n",
+ " NaN | \n",
+ " 426.406268 | \n",
+ "
\n",
+ " \n",
+ " | 3535 | \n",
+ " 2025-12-27 | \n",
+ " 52 | \n",
+ " NaN | \n",
+ " 426.454998 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"df.plot('Date', ['CO2', 'Prév_LT'])"
]
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 29,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"df[-500:-300].plot('Date', ['CO2', 'Prév_LT'])"
]
@@ -480,9 +1474,96 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Date | \n",
+ " Week | \n",
+ " CO2 | \n",
+ " Prév_LT | \n",
+ " Saisonnier | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1958-03-29 | \n",
+ " 13 | \n",
+ " 316.19 | \n",
+ " 314.693329 | \n",
+ " 1.496671 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 1958-04-05 | \n",
+ " 14 | \n",
+ " 317.31 | \n",
+ " 314.707831 | \n",
+ " 2.602169 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 1958-04-12 | \n",
+ " 15 | \n",
+ " 317.69 | \n",
+ " 314.722342 | \n",
+ " 2.967658 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 1958-04-19 | \n",
+ " 16 | \n",
+ " 317.58 | \n",
+ " 314.736864 | \n",
+ " 2.843136 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 1958-04-26 | \n",
+ " 17 | \n",
+ " 316.48 | \n",
+ " 314.751394 | \n",
+ " 1.728606 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"df.plot('Date', ['Saisonnier'])"
]
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 33,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 33,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
"df[-500:-300].plot('Date', ['Saisonnier'])"
]
@@ -551,7 +1689,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
@@ -591,9 +1729,474 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 35,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Num_semaine | \n",
+ " Cumul | \n",
+ " Nbre_valeurs | \n",
+ " Moyenne_semaine | \n",
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\n",
+ " \n",
+ " \n",
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\n",
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\n",
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