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+ Year,Temperature,Pirates
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+ 1820,14.25,45000
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+ 1860,14.4,35000
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+ 1880,14.55,20000
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+ 1920,14.9,15000
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+ 1940,15.25,5000
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+ 1980,15.6,400
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+ 2000,15.9,17
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+ # 15.1 review exercises
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+
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+ # Setup
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+ import numpy
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+
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+
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+ # Create a 3x3 array of the number 3 through 11 using reshape()
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+ first_matrix = numpy .arange (3 , 12 )
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+ first_matrix = first_matrix .reshape (3 , 3 )
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+
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+ # Display the min, max and mean of all entries in the matrix
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+ print "Min is" , first_matrix .min ()
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+ print "Max is" , first_matrix .max ()
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+ print "Mean is" , first_matrix .mean ()
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+
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+ # Square every entry and save in a new matrix
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+ second_matrix = first_matrix ** 2
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+
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+ # Put first_matrix on top of second_matrix
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+ third_matrix = numpy .vstack ([first_matrix , second_matrix ])
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+
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+ # Calculate the dot product of third_matrix by first_matrix
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+ print (numpy .dot (third_matrix , first_matrix ))
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+
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+ # Reshape third_matrix into a 3x3x2 matrix
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+ third_matrix = third_matrix .reshape (3 , 3 , 2 )
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+ print (third_matrix )
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+ # 15.2 pirates.py
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+ # Graph pirates versus global warming
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+
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+ from matplotlib import pyplot as plt
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+ import csv
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+ import os
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+ path = "C:/Real Python/refactor/chp15/practice_files"
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+
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+ years = []
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+ temperatures = []
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+ pirates = []
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+
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+ with open (os .path .join (path , "pirates.csv" ), "rb" ) as my_file :
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+ my_file_reader = csv .reader (my_file )
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+ my_file_reader .next () # skip header row
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+ for year , temperature , pirate_count in my_file_reader :
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+ years .append (year )
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+ temperatures .append (temperature )
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+ pirates .append (pirate_count )
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+
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+ plt .plot (pirates , temperatures , "r-o" )
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+
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+ # label graph
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+ plt .title ("Global temperature as a function of pirate population" )
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+ plt .xlabel ("Total pirates" )
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+ plt .ylabel ("Average global temperature (Celsius)" )
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+ plt .axis ([- 300 , 48000 , 14 , 16 ])
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+
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+ # annotate points with years
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+ for i in range (0 , len (years )):
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+ plt .annotate (str (years [i ]), xy = (pirates [i ], temperatures [i ]))
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+
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+ # save and display graph
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+ plt .savefig (os .path .join (path , "Output/pirates.png" ))
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+ plt .show ()
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