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mooc-rr
Commit 531fd460 authored by f8dc60cab5180566667b00ce62a51ae7's avatar f8dc60cab5180566667b00ce62a51ae7
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module3/exo3/exercice_en.ipynb
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......@@ -412,6 +412,94 @@
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Year Minimum of CO2 Maximum of CO2 Mean of CO2\n",
"0 1958 313.21 317.51 315.335000\n",
"1 1959 313.33 318.29 315.980833\n",
"2 1960 313.83 320.03 316.909167\n",
"3 1961 314.99 320.58 317.643333\n",
"4 1962 315.42 321.02 318.454167\n",
"5 1963 315.98 322.24 318.991667\n",
"6 1964 316.71 322.25 319.202222\n",
"7 1965 317.30 322.17 320.037500\n",
"8 1966 318.10 324.08 321.367500\n",
"9 1967 319.25 325.00 322.178333\n",
"10 1968 320.25 325.57 323.050000\n",
"11 1969 321.78 327.38 324.620833\n",
"12 1970 323.06 328.13 325.681667\n",
"13 1971 323.36 328.93 326.320000\n",
"14 1972 324.84 330.07 327.456667\n",
"15 1973 327.19 332.48 329.681667\n",
"16 1974 327.38 333.10 330.250833\n",
"17 1975 328.35 333.98 331.160833\n",
"18 1976 328.95 334.89 332.161667\n",
"19 1977 331.17 336.76 333.910833\n",
"20 1978 332.56 338.02 335.515000\n",
"21 1979 333.87 339.48 336.860833\n",
"22 1980 335.90 341.48 338.700000\n",
"23 1981 336.71 342.93 339.951667\n",
"24 1982 337.88 344.16 341.150833\n",
"25 1983 339.89 345.77 342.798333\n",
"26 1984 341.13 347.52 344.498333\n",
"27 1985 342.77 348.92 345.890000\n",
"28 1986 344.16 350.19 347.134167\n",
"29 1987 346.09 351.84 348.856667\n",
".. ... ... ... ...\n",
"38 1996 359.32 365.29 362.511667\n",
"39 1997 360.08 366.68 363.649167\n",
"40 1998 363.80 369.19 366.523333\n",
"41 1999 364.54 371.04 368.214167\n",
"42 2000 366.53 371.74 369.384167\n",
"43 2001 367.88 373.94 370.938333\n",
"44 2002 370.18 375.48 373.022500\n",
"45 2003 372.92 378.28 375.572500\n",
"46 2004 373.99 380.56 377.307500\n",
"47 2005 376.39 382.21 379.567500\n",
"48 2006 378.77 384.89 381.774167\n",
"49 2007 380.83 386.38 383.563333\n",
"50 2008 382.75 388.48 385.418333\n",
"51 2009 384.32 390.15 387.343333\n",
"52 2010 386.85 393.24 389.914167\n",
"53 2011 388.98 394.33 391.695000\n",
"54 2012 391.09 396.96 393.947500\n",
"55 2013 393.47 400.06 396.649167\n",
"56 2014 395.49 401.98 398.706667\n",
"57 2015 397.43 404.03 400.867500\n",
"58 2016 400.94 407.60 404.207500\n",
"59 2017 403.20 409.84 406.515833\n",
"60 2018 405.53 411.23 408.527500\n",
"61 2019 408.40 414.75 411.424167\n",
"62 2020 411.12 417.16 413.947500\n",
"63 2021 412.93 418.95 416.113333\n",
"64 2022 415.31 420.78 418.216667\n",
"65 2023 418.06 423.78 420.773333\n",
"66 2024 421.60 426.70 424.347500\n",
"67 2025 426.42 430.20 428.118000\n",
"\n",
"[68 rows x 4 columns]\n"
]
}
],
"source": [
"yearly_stats=df.groupby('Year')['CO2'].agg(['min', 'max', 'mean']).reset_index()\n",
"yearly_stats.columns = ['Year', 'Minimum of CO2', 'Maximum of CO2', 'Mean of CO2']\n",
"\n",
"print(yearly_stats)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": null,
......
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