def updateWebProjects(self):
if self.args.web:
self.cache.update() # throw out the old stuff
self.web_projects = browser.getProjectsDict(self.CONFIG, self.cache)
self.verbosePrintProject("WEB", self.web_projects)
project.merge(self.local_projects, self.web_projects)
else:
self.web_projects = self.local_projects # so that it gets printed
def test():
"""
sets up and tests functions from project.py using
assert_equals and print functions
"""
# setting up data
female = pd.read_csv('test_women.csv')
male = pd.read_csv('test_men.csv')
# cleans and saves data depending on time use
mp = clean_data_paid(male, 'Men')
fp = clean_data_paid(female, 'Women')
# merges data
data = merge(mp, fp)
# set up for breakdown_work_gender
bwg = {'Gender': ['Male', 'Female'],
'Mean Unpaid Hours': [2, 4.8],
'Mean Paid Hours': [5, 2.4]}
manualbwg = pd.DataFrame(bwg)
testingbwg = breakdown_work_gender(data)
# set up for difference_in_hours_country
dhc = {'Country': ['Country1'],
'Mean Difference in Unpaid Hours (f-m)': [2.5],
'Mean Difference in Paid Hours (f-m)': [-4.0]}
manualdhc = pd.DataFrame(dhc)
testingdhc = difference_in_hours_country(data, 'Country1')
# testing breakdown_work_gender
assert_equals(True, manualbwg.equals(testingbwg))
# testing difference_in_hours_country
assert_equals(True, manualdhc.equals(testingdhc))
# testing child labor manually
# should print 'Country3' and 'Country5'
# with ages 5 and 10 respectively
print(child_labor(data))
def main():
"""
runs all functions in main.py to find how relevant
the disparity in paid and unpaid hours is by gender.
"""
female = pd.read_csv('women_data.csv')
male = pd.read_csv('men_data.csv')
# cleans and saves data depending on time use
mp = clean_data_paid(male, 'Men')
fp = clean_data_paid(female, 'Women')
mu = clean_data_unpaid(male, 'Men')
fu = clean_data_unpaid(female, 'Women')
# merges data
data = merge(mp, fp)
# finds breakdown of work based on gender using
# merged data
print(breakdown_work_gender(data))
# finds the difference hours (f-m) of time use
# based on country (Belgium and USA)
print(difference_in_hours_country(data, 'Belgium'))
print(difference_in_hours_country(data, 'United States of America'))
print(difference_in_hours_country(data, 'Cuba'))
# returns a series indicating countries which have child labor
# including the youngest working age
print(child_labor(data))
# plots change in hours of time use over the years based on
# indicated gender and country
plot_change_in_time(fp, fu, 'Women', 'Chile')
plot_change_in_time(mp, mu, 'Men', 'Canada')
plot_change_in_time(fp, fu, 'Women', 'United States of America')
plot_change_in_time(mp, mu, 'Men', 'Finland')
import boinccmd
local_projects = boinccmd.get_state()
print 'LOCAL'
project.pretty_print(local_projects)
CONFIG, CACHE_DIR, _ = config.set_globals()
cache = browser.Browser_file(CACHE_DIR)
b = browser.BrowserSuper(cache)
# web_p = browser.getProject('worldcommunitygrid.org', CONFIG, cache)
# web_projects = dict()
# web_projects[web_p.url] = web_p
web_projects = browser.getProjectsDict(CONFIG, cache)
wuprop_projects = browser.getProjects_wuprop(CONFIG, cache)
print 'WUPROP'
project.pretty_print(wuprop_projects, show_empty=True)
project.mergeWuprop(wuprop_projects, local_projects)
project.merge(local_projects, web_projects)
print 'MERGED'
project.pretty_print(web_projects, show_empty=True)
#project.pretty_print(local_projects, show_empty=True)
fig1 = plt.figure()
fig2 = plt.figure()
plotAll(fig1, fig2, web_projects, b)
raw_input('=== Press enter to exit ===\n')