def createTimeTable():
import Timing
periods = len(Timing.makePeriods())
days = Timing.daysOfMonth()
import pandas as pd
dataF = pd.DataFrame(index=days,
columns=['P%s' % (i + 1) for i in range(periods)])
dataF = dataF.rename_axis('Days', axis='index')
dataF = dataF.fillna(theDefaultEmptyChar())
dataF.to_csv(TIME_TABLE_FILE_NAME)
def generateTimeTable():
'class whose timetable is to be generated'
import math
import Timing
timeList = Timing.makePeriods()
daysOfMonth = Timing.daysOfMonth()
import pandas as pd
timeTable = readTimeTable()
subjects = readBooksFile()
import random
random.shuffle(subjects)
for dayIndex in range(len(daysOfMonth)):
d = daysOfMonth[dayIndex]
tempSubjects = list(subjects)
for p in timeTable.columns:
if (len(tempSubjects) != 0):
random.shuffle(tempSubjects)
temp = tempSubjects.pop()
if ((timeTable.loc[d, p] == theDefaultEmptyChar())):
factor = math.ceil(temp[1] / len(daysOfMonth))
markup = "<a target='_blank' href='%s'> %s<br>%d to %d </a>" % (
temp[2], temp[0], dayIndex * factor,
(dayIndex + 1) * factor)
timeTable.loc[d, p] = markup
else:
if (len(tempSubjects) != 0):
print("Not enough slots")
newColumns = dict()
for i in range(len(timeList)):
key = 'P%d' % (i + 1)
newColumns[key] = timeList[i]
timeTable = timeTable.rename(columns=newColumns)
dataFrameToHtmlString(timeTable)
