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weather_data.txt (just copy and paste into a txt file called weather_data, then solve above question) date,actual_mean_temp,actual_min_temp,actual_max_temp,average_min_temp,average_max_temp,record_min_temp,record_max_temp,record_min_temp_year,record_max_temp_year,actual_precipitation,average_precipitation,record_precipitation 2014-7-1,81,70,91,67,89,56,104,1919,2012,0.00,0.10,5.91 2014-7-2,85,74,95,68,89,56,101,2008,1931,0.00,0.10,1.53 2014-7-3,82,71,93,68,89,56,99,2010,1931,0.14,0.11,2.50 2014-7-4,75,64,86,68,89,55,99,1933,1955,0.00,0.10,2.63 2014-7-5,72,60,84,68,89,57,100,1967,1954,0.00,0.10,1.65 2014-7-6,74,61,87,68,89,57,99,1964,1948,0.00,0.10,1.95 2014-7-7,79,67,91,68,89,55,100,1972,1954,0.00,0.11,2.37 2014-7-8,83,72,94,68,89,58,101,1892,2010,0.00,0.11,1.87 2014-7-9,80,71,89,68,89,57,101,1891,1986,0.15,0.12,3.71

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weather_data.txt (just copy and paste into a txt file called weather_data, then solve above question)

date,actual_mean_temp,actual_min_temp,actual_max_temp,average_min_temp,average_max_temp,record_min_temp,record_max_temp,record_min_temp_year,record_max_temp_year,actual_precipitation,average_precipitation,record_precipitation 2014-7-1,81,70,91,67,89,56,104,1919,2012,0.00,0.10,5.91 2014-7-2,85,74,95,68,89,56,101,2008,1931,0.00,0.10,1.53 2014-7-3,82,71,93,68,89,56,99,2010,1931,0.14,0.11,2.50 2014-7-4,75,64,86,68,89,55,99,1933,1955,0.00,0.10,2.63 2014-7-5,72,60,84,68,89,57,100,1967,1954,0.00,0.10,1.65 2014-7-6,74,61,87,68,89,57,99,1964,1948,0.00,0.10,1.95 2014-7-7,79,67,91,68,89,55,100,1972,1954,0.00,0.11,2.37 2014-7-8,83,72,94,68,89,58,101,1892,2010,0.00,0.11,1.87 2014-7-9,80,71,89,68,89,57,101,1891,1986,0.15,0.12,3.71 2014-7-10,78,71,85,68,89,53,101,1961,1926,0.0,0.11,2.45 2014-7-11,78,68,87,68,89,55,100,1961,1986,0.00,0.12,3.10 2014-7-12,79,67,91,68,89,59,102,1953,1930,0.00,0.11,1.95 2014-7-13,81,69,92,68,89,56,100,1918,1986,0.00,0.12,2.09 2014-7-14,85,74,96,68,89,59,102,2007,1954,0.00,0.12,2.15 2014-7-15,81,67,94,68,89,58,100,2001,1893,0.87,0.12,4.61 2014-7-16,76,66,85,68,89,58,100,2001,1887,0.00,0.12,1.47 2014-7-17,74,63,84,68,89,62,100,1886,1986,0.00,0.12,4.14 2014-7-18,77,70,83,68,89,62,102,1896,1887,0.0,0.12,1.82 2014-7-19,70,66,74,68,89,60,103,2009,1986,0.17,0.12,2.30 2014-7-20,74,65,83,68,89,60,101,1910,1986,0.0,0.12,1.25 2014-7-21,74,70,77,68,89,57,103,1890,1986,1.30,0.12,3.83 2014-7-22,79,72,85,68,89,58,103,2001,1926,0.0,0.12,2.56 2014-7-23,80,69,90,68,89,56,101,2007,1987,0.00,0.13,6.88 2014-7-24,80,71,89,68,89,59,100,1947,1952,0.06,0.12,2.83 2014-7-25,77,68,86,68,89,62,101,1947,2010,0.00,0.13,2.34 2014-7-26,78,66,89,68,89,60,100,1904,2005,0.00,0.13,2.84 2014-7-27,80,70,90,68,89,57,103,1920,1940,0.18,0.13,2.46 2014-7-28,79,68,90,68,89,54,102,1962,1952,0.06,0.13,2.98 2014-7-29,73,62,83,68,89,59,103,1920,1952,0.00,0.14,2.04 2014-7-30,74,63,85,68,89,58,101,1914,2011,0.00,0.14,4.24 2014-7-31,72,65,78,68,89,56,100,1914,1999,1.45,0.14,1.45 2014-8-1,68,65,70,68,89,58,98,1966,1957,2.39,0.14,2.39 2014-8-2,69,65,72,68,89,59,98,1895,1942,0.00,0.14,2.00 2014-8-3,77,67,86,68,89,60,98,1998,2011,0.00,0.15,4.51 2014-8-4,78,69,87,68,89,58,98,1912,1935,0.00,0.15,2.59 2014-8-5,77,65,88,68,89,55,100,1912,1954,0.00,0.15,3.01 2014-8-6,78,68,88,68,88,57,102,1912,1956,0.17,0.14,3.19 2014-8-7,78,67,88,68,88,50,100,2004,1963,0.00,0.13,1.53 2014-8-8,77,73,81,68,88,55,102,2004,2007,0.0,0.13,1.37 2014-8-9,76,68,84,68,88,56,104,2002,2007,0.00,0.13,1.26 2014-8-10,70,67,73,68,88,56,104,1879,2007,0.01,0.13,2.26 2014-8-11,78,71,85,68,88,58,98,1879,1956,0.58,0.13,3.04 2014-8-12,81,72,89,68,88,57,100,1890,1925,0.31,0.13,2.25 2014-8-13,75,65,84,68,88,57,102,1979,1956,0.00,0.14,1.27 2014-8-14,71,59,83,68,88,57,98,1967,1925,0.00,0.14,2.00 2014-8-15,73,60,86,68,88,55,99,1964,2007,0.00,0.14,3.17 2014-8-16,77,68,86,68,88,57,102,1924,1954,0.00,0.14,2.51 2014-8-17,78,67,89,67,88,55,97,1979,1911,0.00,0.14,2.92 2014-8-18,81,71,90,67,88,59,101,1976,1988,0.0,0.13,1.76 2014-8-19,80,70,90,67,87,59,100,1981,1988,0.0,0.14,1.96 2014-8-20,79,67,91,67,87,56,103,1918,1925,0.00,0.14,1.84 2014-8-21,80,67,93,67,87,56,103,1998,1983,0.00,0.13,2.22 2014-8-22,83,70,95,67,87,57,101,1886,1983,0.00,0.15,2.81 2014-8-23,82,73,91,67,87,53,103,1930,1983,0.08,0.13,2.74 2014-8-24,74,66,81,67,87,55,97,1888,1968,0.14,0.14,2.35 2014-8-25,72,60,83,66,87,56,98,1952,1943,0.00,0.14,3.16 2014-8-26,72,60,84,66,87,55,100,1942,1954,0.00,0.14,5.36 2014-8-27,72,57,87,66,86,55,101,1952,1954,0.00,0.13,4.39 2014-8-28,77,61,92,66,86,55,98,1905,1924,0.00,0.13,4.64 2014-8-29,79,69,88,66,86,54,100,1986,1948,0.00,0.13,1.42 2014-8-30,79,68,90,66,86,53,101,1965,1932,0.00,0.12,2.54 2014-8-31,83,74,91,65,86,53,99,1946,1957,0.06,0.12,3.40 2014-9-1,82,71,93,65,85,51,99,1999,1957,0.00,0.11,2.93 2014-9-2,82,69,94,65,85,53,99,1967,1932,0.0,0.12,1.20 2014-9-3,81,68,93,65,85,52,98,1967,1925,0.63,0.11,2.67 2014-9-4,77,69,85,64,85,54,100,1952,1925,0.82,0.11,1.15 2014-9-5,79,69,89,64,84,54,101,1967,1954,0.01,0.11,2.46 2014-9-6,80,70,90,64,84,53,104,1924,1954,0.00,0.11,3.47 2014-9-7,79,70,88,64,84,53,100,1924,1925,0.09,0.11,2.38 2014-9-8,70,67,73,63,84,54,99,1988,1925,0.0,0.11,1.96 2014-9-9,72,66,77,63,83,46,101,1998,1939,0.00,0.11,1.92 2014-9-10,72,65,79,63,83,47,98,1998,1939,0.00,0.10,3.64 2014-9-11,77,64,89,62,83,49,96,1956,1925,0.09,0.10,1.80 2014-9-12,81,72,90,62,83,45,95,1917,1925,0.08,0.09,1.76 2014-9-13,76,66,86,62,82,49,94,1917,1962,1.56,0.11,4.12 2014-9-14,66,62,69,61,82,47,97,1985,1897,0.0,0.10,3.23 2014-9-15,76,65,86,61,81,47,96,2000,1956,0.37,0.11,4.06 2014-9-16,76,65,86,61,81,47,96,2000,1956,0.37,0.11,4.06 2014-9-17,69,63,74,60,81,46,96,1984,1954,0.00,0.11,3.14 2014-9-18,71,62,80,60,81,48,99,2001,1896,0.00,0.11,4.84 2014-9-19,73,67,79,59,80,46,97,1984,1954,0.02,0.10,2.72 2014-9-20,71,59,82,59,80,45,98,1929,1925,0.00,0.11,2.82 2014-9-21,71,57,85,59,80,43,97,1918,1895,0.00,0.11,2.74 2014-9-22,69,61,76,58,79,43,98,1918,1895,0.00,0.10,2.92 2014-9-23,59,53,65,58,79,39,97,1999,1931,0.02,0.11,1.69 2014-9-24,59,53,64,57,79,43,95,1999,1895,0.19,0.10,3.89 2014-9-25,66,61,70,57,78,40,94,1887,2010,0.01,0.11,1.31 2014-9-26,67,62,71,57,78,42,94,1950,1961,0.0,0.11,2.54 2014-9-27,69,59,78,56,78,43,93,1940,1900,0.00,0.11,1.94 2014-9-28,68,60,76,56,77,41,93,1947,1954,0.00,0.12,3.38 2014-9-29,67,64,70,55,77,40,93,1942,1941,0.09,0.11,3.59 2014-9-30,71,59,83,55,77,38,91,1888,1926,0.00,0.12,3.65 2014-10-1,70,56,84,54,76,39,92,1899,1954,0.00,0.12,3.80 2014-10-2,72,59,85,54,76,36,92,1899,1954,0.00,0.11,1.60 2014-10-3,70,61,79,54,76,36,91,1974,1954,0.03,0.12,2.15 2014-10-4,55,43,67,53,75,33,95,1974,1954,0.00,0.12,4.21 2014-10-5,52,38,65,53,75,38,97,1974,1954,0.00,0.12,1.16 2014-10-6,62,47,76,52,75,38,98,1935,1954,0.00,0.12,1.98 2014-10-7,67,53,80,52,74,34,91,1935,1951,0.00,0.11,2.70 2014-10-8,72,58,86,52,74,34,93,1889,1941,0.00,0.12,3.82 2014-10-9,66,52,80,51,74,31,92,2000,2007,0.00,0.12,3.80 2014-10-10,72,60,84,51,74,30,89,2000,1939,0.00,0.11,4.18 2014-10-11,78,68,87,51,73,29,90,2000,1939,0.08,0.12,2.58 2014-10-12,63,58,68,50,73,31,87,1906,1919,0.02,0.12,2.82 2014-10-13,66,59,72,50,73,35,91,1964,1954,0.04,0.12,1.93 2014-10-14,73,64,82,49,72,32,87,2006,1940,0.45,0.11,2.27 2014-10-15,66,58,73,49,72,30,88,2006,1985,0.24,0.11,1.83 2014-10-16,61,50,71,49,72,35,87,1939,1925,0.0,0.11,4.76 2014-10-17,59,44,74,48,71,35,85,2001,1962,0.00,0.11,1.90 2014-10-18,65,53,76,48,71,31,87,2001,1938,0.00,0.12,2.34 2014-10-19,57,45,69,48,71,30,87,2009,1938,0.00,0.10,1.20 2014-10-20,59,46,71,47,71,30,86,1972,1926,0.0,0.11,2.33 2014-10-21,61,47,75,47,70,30,88,1952,1943,0.00,0.11,1.31 2014-10-22,56,44,68,47,70,29,85,1952,1939,0.00,0.10,4.52 2014-10-23,55,40,70,46,70,31,88,1998,1941,0.00,0.11,1.72 2014-10-24,54,39,69,46,70,28,88,2006,1939,0.00,0.10,0.85 2014-10-25,57,39,74,46,69,27,84,2006,1931,0.00,0.09,2.65 2014-10-26,66,48,83,45,69,27,86,2013,1940,0.00,0.10,1.85 2014-10-27,62,43,80,45,69,24,86,1962,1939,0.00,0.09,2.03 2014-10-28,68,52,84,45,68,26,87,2001,1940,0.00,0.10,1.23 2014-10-29,69,58,79,44,68,27,82,1976,1984,0.00,0.10,1.65 2014-10-30,57,45,68,44,68,26,84,1952,1950,0.00,0.10,2.51 2014-10-31,50,39,61,44,68,29,85,2008,1950,0.49,0.10,1.68 2014-11-1,47,40,53,43,67,29,84,1954,1950,0.28,0.10,1.14 2014-11-2,44,30,57,43,67,27,85,1954,1961,0.00,0.10,1.82 2014-11-3,45,24,65,43,67,24,84,1954,1961,0.00,0.10,1.69 2014-11-4,53,39,67,43,66,22,83,1966,1961,0.00,0.10,1.97 2014-11-5,60,49,70,42,66,24,81,2006,2003,0.00,0.10,0.97 2014-11-6,60,48,71,42,66,26,82,1976,2003,0.04,0.10,1.34 2014-11-7,50,39,61,42,65,26,78,1998,1888,0.00,0.10,1.71 2014-11-8,45,31,58,41,65,25,78,1967,1934,0.00,0.11,2.79 2014-11-9,51,38,63,41,65,24,82,1976,2005,0.00,0.10,2.76 2014-11-10,51,32,69,41,64,28,83,1973,2006,0.00,0.10,1.43 2014-11-11,57,39,74,41,64,24,78,1973,2006,0.00,0.09,1.82 2014-11-12,59,41,77,40,64,24,81,1894,1989,0.00,0.10,1.54 2014-11-13,53,46,60,40,63,21,81,2013,1931,0.0,0.10,1.93 2014-11-14,37,28,46,40,63,21,80,2013,1879,0.01,0.11,1.23 2014-11-15,35,25,45,39,63,20,82,1969,1993,0.00,0.10,1.32 2014-11-16,41,29,53,39,62,22,82,1969,1958,0.00,0.10,2.26 2014-11-17,47,36,57,39,62,20,84,1883,1958,0.63,0.11,1.90 2014-11-18,30,20,39,38,62,20,78,2014,1942,0.00,0.10,1.93 2014-11-19,29,14,44,38,61,14,78,2014,1942,0.00,0.11,2.04 2014-11-20,47,34,59,38,61,18,79,1951,1942,0.00,0.11,1.36 2014-11-21,44,30,58,38,61,19,78,1914,1942,0.00,0.11,3.26 2014-11-22,39,22,55,37,60,13,76,2008,2011,0.00,0.11,1.68 2014-11-23,54,42,65,37,60,18,78,1880,1900,1.72,0.11,1.72 2014-11-24,67,59,74,37,59,16,75,1970,1958,0.00,0.11,1.68 2014-11-25,58,49,66,37,59,13,76,1970,1921,0.22,0.10,2.42 2014-11-26,46,40,52,36,59,11,75,1950,2001,0.89,0.11,2.36 2014-11-27,43,34,52,36,58,18,77,1903,2001,0.00,0.11,1.54 2014-11-28,36,25,47,36,58,19,77,2013,1990,0.00,0.11,2.93 2014-11-29,44,31,56,35,58,20,76,1955,2001,0.00,0.12,1.37 2014-11-30,54,39,68,35,57,15,76,1929,1991,0.00,0.11,2.09 2014-12-1,57,41,73,35,57,15,76,1964,1946,0.00,0.11,1.21 2014-12-2,49,42,55,35,57,20,76,1924,1991,0.00,0.11,1.85 2014-12-3,53,42,64,34,56,20,75,1960,1998,0.0,0.12,2.96 2014-12-4,56,49,63,34,56,18,76,2000,1956,0.0,0.11,1.93 2014-12-5,47,42,51,34,56,18,75,1969,1998,0.04,0.11,2.06 2014-12-6,47,42,52,34,55,18,78,1895,1998,0.12,0.10,2.37 2014-12-7,48,39,56,33,55,12,76,2010,1998,0.00,0.10,1.56 2014-12-8,40,36,43,33,55,10,76,1882,1998,0.14,0.11,1.15 2014-12-9,46,37,55,33,54,14,78,2006,1943,0.0,0.10,1.78 2014-12-10,43,32,53,33,54,13,80,1917,2007,0.00,0.10,1.91 2014-12-11,37,23,51,33,54,13,79,1957,2007,0.00,0.11,1.69 2014-12-12,41,22,60,32,54,7,79,1962,2007,0.00,0.11,1.57 2014-12-13,46,25,66,32,53,2,77,1962,2007,0.00,0.10,1.78 2014-12-14,46,29,63,32,53,12,73,1962,1948,0.00,0.10,2.38 2014-12-15,43,26,60,32,53,10,73,2010,1948,0.00,0.10,2.46 2014-12-16,48,37,58,32,53,12,75,1958,1971,0.09,0.10,1.58 2014-12-17,46,31,60,32,52,14,73,1901,1956,0.00,0.10,1.30 2014-12-18,43,30,56,31,52,11,75,1953,1984,0.00,0.10,1.74 2014-12-19,43,30,56,31,52,11,76,1963,1984,0.00,0.11,0.85 2014-12-20,44,40,48,31,52,12,79,1884,1931,0.03,0.10,2.38 2014-12-21,47,42,51,31,52,10,73,1901,2013,0.0,0.10,2.19 2014-12-22,42,38,46,31,51,11,72,1960,1998,0.26,0.11,2.27 2014-12-23,42,37,47,31,51,8,73,1989,1990,0.29,0.11,2.12 2014-12-24,53,45,60,31,51,6,71,1983,1982,0.91,0.11,1.47 2014-12-25,45,32,57,30,51,4,77,1983,1955,0.00,0.10,2.32 2014-12-26,43,27,59,30,51,6,76,1983,1889,0.00,0.11,1.72 2014-12-27,48,32,64,30,51,15,72,1970,1971,0.00,0.10,1.25 2014-12-28,55,49,60,30,51,10,77,1925,1971,0.04,0.11,1.67 2014-12-29,51,44,58,30,51,2,74,1894,1984,0.59,0.10,1.82 2014-12-30,39,32,45,30,50,-5,76,1880,1984,0.06,0.10,1.21 2014-12-31,37,27,46,30,50,0,70,1890,1996,0.00,0.10,2.15

1. In NumPy, do the following without hardcoding the values into the arrays or using for loops: a. Create and print a 42 matrix with values ranging from 2 to 10 b. Create and print a 88 matrix and fill it with a checkerboard pattern [[[01010101][01010101][1010101]] c. Get the unique values of a list i. List =[10,20,10,30,20,40,20,20,10,30,0,50,10] d. Get the values greater than 37 in the list i. List =[6,75,9,82,36,42,59,3,52,1,32,68,93,4,27,85,0,3,57] e. Convert the values of a list of values in Centigrade into Fahrenheit degrees i. List =[0,12,45.21,34,99.91] 2. Given the following two matrices, output the results of the operations with NumPy: A=147258369B=322169417 a. A+B b. AXB c. Determinate of A d. Inverse of B e. Eigenvalues of A 3. In Pandas, parse the file "weather_data.txt" and output the answers to the following: a. What day(s) had the highest actual precipitation? b. What was the average actual max temp for July 2014? c. What days was the actual max temp the record max temp? d. How much did it rain in October 2014? e. What day(s), if any, was the actual low temperature below 60 degrees and actual max temperature above 90 degrees on the same day? 4. In Pandas, parse the file "weather_data.txt" and create the following plots (with titles, labels and a legend): a. Actual max temperature and actual min temperature on the same line chart (max should be a red line, min should be blue) b. A histogram of actual precipitation

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