Top hottest years
=================

Exercise
--------

.. interactive_code_block:: 
   :caption: Display a specified amount of the top hottest years

   hottest_year_count = 10

   # Global land and ocean temperature anomalies
   # SOURCE: https://www.ncei.noaa.gov/access/monitoring/climate-at-a-glance/global/time-series/globe/land_ocean/ann/10/1880-2022
   data = {
       1880: -0.12, 1881: -0.08, 1882: -0.10, 1883: -0.18, 1884: -0.27,
       1885: -0.25, 1886: -0.24, 1887: -0.29, 1888: -0.13, 1889: -0.08,
       1890: -0.34, 1891: -0.26, 1892: -0.31, 1893: -0.33, 1894: -0.32,
       1895: -0.25, 1896: -0.10, 1897: -0.10, 1898: -0.28, 1899: -0.16,
       1900: -0.08, 1901: -0.16, 1902: -0.26, 1903: -0.38, 1904: -0.46,
       1905: -0.28, 1906: -0.21, 1907: -0.39, 1908: -0.43, 1909: -0.45,
       1910: -0.41, 1911: -0.45, 1912: -0.34, 1913: -0.32, 1914: -0.15,
       1915: -0.10, 1916: -0.33, 1917: -0.40, 1918: -0.31, 1919: -0.25,
       1920: -0.23, 1921: -0.16, 1922: -0.25, 1923: -0.25, 1924: -0.24,
       1925: -0.18, 1926: -0.07, 1927: -0.17, 1928: -0.18, 1929: -0.33,
       1930: -0.11, 1931: -0.06, 1932: -0.13, 1933: -0.26, 1934: -0.11,
       1935: -0.16, 1936: -0.12, 1937: -0.01, 1938: -0.02, 1939:  0.01,
       1940:  0.16, 1941:  0.27, 1942:  0.11, 1943:  0.11, 1944:  0.28,
       1945:  0.18, 1946: -0.01, 1947: -0.03, 1948: -0.05, 1949: -0.07,
       1950: -0.15, 1951:  0.00, 1952:  0.04, 1953:  0.13, 1954: -0.10,
       1955: -0.13, 1956: -0.18, 1957:  0.07, 1958:  0.13, 1959:  0.08,
       1960:  0.05, 1961:  0.10, 1962:  0.11, 1963:  0.12, 1964: -0.14,
       1965: -0.07, 1966: -0.01, 1967:  0.00, 1968: -0.03, 1969:  0.11,
       1970:  0.06, 1971: -0.07, 1972:  0.04, 1973:  0.19, 1974: -0.06,
       1975:  0.01, 1976: -0.07, 1977:  0.21, 1978:  0.12, 1979:  0.23,
       1980:  0.28, 1981:  0.32, 1982:  0.19, 1983:  0.36, 1984:  0.17,
       1985:  0.16, 1986:  0.24, 1987:  0.38, 1988:  0.39, 1989:  0.30,
       1990:  0.45, 1991:  0.39, 1992:  0.24, 1993:  0.28, 1994:  0.35,
       1995:  0.47, 1996:  0.32, 1997:  0.52, 1998:  0.65, 1999:  0.44,
       2000:  0.43, 2001:  0.57, 2002:  0.62, 2003:  0.64, 2004:  0.58,
       2005:  0.67, 2006:  0.64, 2007:  0.62, 2008:  0.54, 2009:  0.64,
       2010:  0.72, 2011:  0.58, 2012:  0.64, 2013:  0.67, 2014:  0.74,
       2015:  0.93, 2016:  0.99, 2017:  0.91, 2018:  0.82, 2019:  0.94,
       2020:  0.98, 2021:  0.84
   }

   # Create a list of years sorted by their temperature anomaly
   # SEE https://docs.python.org/3/library/functions.html#sorted
   data_sorted = # ...

   # Create a list of the hottest years (list length = hottest_year_count)
   hottest_years = # ...

   # Which year was the earliest hottest year in the list?
   earliest_hottest_year = # ...

   # Which year was the latest hottest year in the list?
   latest_hottest_year = # ...

   # Within how many years did the hottest years occur?
   duration = # ...

   print('\\nThe top {} hottest years have occurred within {} years from {} until {}.'.format(hottest_year_count, duration, earliest_hottest_year, latest_hottest_year))

   print('\\nYear | Temp')
   print('-----+-----')
   for year, temperature in data.items():
       if year in hottest_years:
           print('{} | {}'.format(year, temperature))