gradetable py3 ready

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Jan Grewe 2019-05-15 09:18:22 +02:00
parent 1e928bc5c9
commit 807b1eddab
2 changed files with 23 additions and 23 deletions

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All projects:
check for time information
project_adaptation_fit project_adaptation_fit
OK, medium OK, medium
Add plotting of cost function Add plotting of cost function

40
projects/gradetable.py Normal file → Executable file
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import os if __name__ == "__main__":
import numpy as np p100 = 33.0 # points for 100%
import matplotlib.pylab as plt
lecture = 'Models of Neural Systems, WS 16/17' # grades:
exam = 1 gradestable = [ [ 0.9, 1.0 ], [ 0.84, 1.3 ], [ 0.80, 1.7 ], [ 0.76, 2.0 ], [ 0.72, 2.3 ],
pmax = 33 # maximum available points [ 0.68, 2.7 ], [ 0.64, 3.0 ], [ 0.60, 3.3 ], [ 0.56, 3.7 ], [ 0.50, 4.0 ] ]
p100 = 28 # points for 100%
# grades: df = open('notentabelle.dat', 'w')
gradestable = [ [ 0.9, 1.0 ], [ 0.84, 1.3 ], [ 0.80, 1.7 ], [ 0.76, 2.0 ], [ 0.72, 2.3 ], df.write('# Notentabelle\n')
[ 0.68, 2.7 ], [ 0.64, 3.0 ], [ 0.60, 3.3 ], [ 0.56, 3.7 ], [ 0.50, 4.0 ] ] print('# Notentabelle')
df.write('\n')
df = open('notentabelle.dat', 'w') df.write('#Key\n')
df.write('# Notentabelle\n') s = '# Note\tProzent\tPunkte'
print '# Notentabelle'
df.write('\n')
df.write('#Key\n')
s = '# Note\tProzent\tPunkte'
df.write(s+'\n')
print s
for f,g in gradestable :
s = ' \t%3.1f\t%5.0f\t%5.1f' % (g, 100.0*f, p100*f)
df.write(s+'\n') df.write(s+'\n')
print s print(s)
df.close() for f,g in gradestable :
s = ' \t%3.1f\t%5.0f\t%5.0f' % (g, 100.0*f, p100*f)
df.write(s+'\n')
print(s)
df.close()