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07_08.py
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# Section 7.8 snippets
import numpy as np
grades = np.array([[87, 96, 70], [100, 87, 90],
[94, 77, 90], [100, 81, 82]])
grades
grades.sum()
grades.min()
grades.max()
grades.mean()
grades.std()
grades.var()
# Calculations by Row or Column
grades.mean(axis=0)
grades.mean(axis=1)
##########################################################################
# (C) Copyright 2019 by Deitel & Associates, Inc. and #
# Pearson Education, Inc. All Rights Reserved. #
# #
# DISCLAIMER: The authors and publisher of this book have used their #
# best efforts in preparing the book. These efforts include the #
# development, research, and testing of the theories and programs #
# to determine their effectiveness. The authors and publisher make #
# no warranty of any kind, expressed or implied, with regard to these #
# programs or to the documentation contained in these books. The authors #
# and publisher shall not be liable in any event for incidental or #
# consequential damages in connection with, or arising out of, the #
# furnishing, performance, or use of these programs. #
##########################################################################