Question

I need a Python program that will read a data file, perform an analysis, and write the results to a separate file with a .txt extension. The data is the September temperature anomalies from 1910 to 2020 in North America. I want the program to find the average temperature anomaly of each decade, find the decade with the lowest average anomaly, and the decade with the highest average anomaly. After that the program needs to write its results on a separate .txt file.
Here is the data:

1910,-0.21
1911,-0.08
1912,-0.86
1913,-0.94
1914,-0.19
1915,-0.51
1916,-0.37
1917,-0.07
1918,-0.90
1919,0.21
1920,0.00
1921,0.12
1922,0.32
1923,0.08
1924,-0.63
1925,0.27
1926,-0.65
1927,-0.01
1928,-0.59
1929,-0.42
1930,0.15
1931,1.07
1932,0.17
1933,0.52
1934,-0.78
1935,-0.20
1936,0.12
1937,0.47
1938,1.35
1939,0.30
1940,1.01
1941,-0.39
1942,-0.23
1943,-0.04
1944,0.39
1945,-0.34
1946,0.10
1947,0.11
1948,0.66
1949,0.01
1950,-0.05
1951,-0.07
1952,0.32
1953,0.38
1954,0.39
1955,0.02
1956,-0.48
1957,0.30
1958,0.23
1959,-0.03
1960,0.44
1961,-0.57
1962,-0.19
1963,0.45
1964,-0.62
1965,-1.44
1966,0.47
1967,0.38
1968,0.04
1969,-0.04
1970,-0.44
1971,-0.07
1972,-1.12
1973,0.12
1974,-1.08
1975,-0.50
1976,0.24
1977,0.46
1978,0.22
1979,0.41
1980,-0.16
1981,0.22
1982,-0.10
1983,0.06
1984,-0.94
1985,-0.61
1986,-0.43
1987,0.76
1988,0.01
1989,0.16
1990,0.79
1991,0.10
1992,-1.01
1993,-0.57
1994,0.58
1995,0.56
1996,-0.16
1997,1.24
1998,1.70
1999,0.37
2000,0.20
2001,1.11
2002,1.00
2003,0.60
2004,0.24
2005,1.15
2006,0.56
2007,0.57
2008,0.35
2009,1.49
2010,0.82
2011,1.41
2012,1.40
2013,1.39
2014,0.75
2015,1.51
2016,1.39
2017,1.41
2018,0.31
2019,1.72
2020,0.73

Answer 1

Answer:

You can follow below approach to open file and read from it. myfile = open("/Users/David/Desktop/test. txt","r") #returns file handle myfile. read() # reading from the file myfile.

Explanation:

Answer 2

Answer:

Given the size and tremendous heat capacity of the global oceans, it takes a massive amount of heat energy to raise Earth’s average yearly surface temperature even a small amount. The 2-degree increase in global average surface temperature that has occurred since the pre-industrial era (1880-1900) might seem small, but it means a significant increase in accumulated heat. That extra heat is driving regional and seasonal temperature extremes, reducing snow cover and sea ice, intensifying heavy rainfall, and changing habitat ranges for plants and animals—expanding some and shrinking others.  

Explanation: