grades[i].size) for i in grades.columns
]
print(grades)
print("Generating report and plotting data")
report = Report(indicator_data, bins, config)
report.plot(grades)
print("Adding bin ranges")
report.add_bin_ranges()
print("Adding header annotation")
report.add_header()
print("Adding title")
report.add_title()
print("Saving Report")
report.save("Test1 generation query 1 - {}.pdf".format(
datetime.datetime.now()))
'''
print("Doing all of that report generation again, but disabling the NDA bin")
config.show_NDA = False
for row in ds.last_query.iterrows():
print("Processing course",row[1]["Course #"])
indicator_data, bins = unsorted.parse_row(row[1], config.header_attribs)
indicator_data['Program'] = 'ENCV'
print("Indicator data and bins set up, looking for grades")
grades = unsorted.open_grades(row[1], 'ENCV')
