def main():
(school_name, RequestHandler.scores) = ecdf.parseArguments()
# argument parsing: ecdf.py --school "name" input_file1 input_file2 ...
with open ("template.html", "r") as template:
RequestHandler.html = template.read()
RequestHandler.logger = logging.getLogger('RequestHandler')
hdlr = logging.FileHandler('request_history.log')
formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s')
hdlr.setFormatter(formatter)
RequestHandler.logger.addHandler(hdlr)
RequestHandler.logger.setLevel(logging.INFO)
httpd = HTTPServer((ADDR, PORT), RequestHandler)
try:
httpd.serve_forever()
except KeyboardInterrupt:
sys.exit()
import numpy
import statsmodels
import matplotlib.pyplot as plt
import ecdf
import sys
(school_name, scores) = ecdf.parseArguments()
e = statsmodels.distributions.empirical_distribution.ECDF(scores)
# X = numpy.linspace(min(scores), max(scores))
# print X
# y = ecdf(x)
# plt.step(x, y)
X = numpy.arange(0, 100, 0.1)
Y = e(X)
fig = plt.figure()
plt.step(X, Y)
fig.suptitle(school_name, fontsize=14, fontweight='bold')
plt.xlabel('mean test score')
plt.ylabel('ECDF')
plt.show()