def __init__(self, data, subject=''):
self.subject = subject
# It'd be a lot nicer to do these calculations using
# http://www.python.org/dev/peps/pep-0450/ or even
# https://pypi.python.org/pypi/stats/ instead of the
# sometimes-difficult-to-install Numpy. But alas, we're stuck with that for
# Python 2.x.
self.mean = data.mean()
self.median = calcMedian(data) # I don't know why narray doesn't have self as a method.
self.stdDev = data.std()
self.min = data.min()
self.max = data.max()
def print_report(subject):
'''Do various calculations on the subject, then print the results.
This should be like, 8 different functions or something, but bad API design
is easier.
'''
# It'd be a lot nicer to do these calculations using
# http://www.python.org/dev/peps/pep-0450/ or even
# https://pypi.python.org/pypi/stats/ instead of the
# sometimes-difficult-to-install Numpy. But alas, we're stuck with that for
# Python 2.x.
data = array(stats[subject])
mean = data.mean()
median = calcMedian(data) # I don't know why narray doesn't have this as a method.
stdDev = data.std()
min = data.min()
max = data.max()
print '%s: %s (mean) %s (median) %s (std. dev.) %s (min) %s (max)' \
% (subject, mean, median, stdDev, min, max)
initialize_ordered_dict(stats[subject+'Histogram'], range(min, max))
print_histogram(stats[subject+'Histogram'].items())
def print_report(subject):
'''Do various calculations on the subject, then print the results.
This should be like, 8 different functions or something, but bad API design
is easier.
'''
# It'd be a lot nicer to do these calculations using
# http://www.python.org/dev/peps/pep-0450/ or even
# https://pypi.python.org/pypi/stats/ instead of the
# sometimes-difficult-to-install Numpy. But alas, we're stuck with that for
# Python 2.x.
data = array(stats[subject])
mean = data.mean()
median = calcMedian(
data) # I don't know why narray doesn't have this as a method.
stdDev = data.std()
min = data.min()
max = data.max()
print '%s: %s (mean) %s (median) %s (std. dev.) %s (min) %s (max)' \
% (subject, mean, median, stdDev, min, max)
initialize_ordered_dict(stats[subject + 'Histogram'], range(min, max))
print_histogram(stats[subject + 'Histogram'].items())
