def start_main():
data = common_lib.open_file(common_lib.NBA_STANDING_HTML_FILE)
data = get_all_expanded_standings(data)
while data.find('<a href="/teams/') > 0:
data = parse_data_get_true_pct(data)
#########################
# while data.find('<td class="team">') > 0:
# data = parse_html_file(data)
#########################
thisList = common_lib.convert_list_into_str(list_of_team_stats.listOfTeamStats)
common_lib.write_file(thisList, common_lib.NBA_STANDING_CSV_FILE)
def start_main():
data = common_lib.open_file(common_lib.NBA_STANDING_HTML_FILE)
data = get_all_expanded_standings(data)
while data.find('<a href="/teams/') > 0:
data = parse_data_get_true_pct(data)
#########################
# while data.find('<td class="team">') > 0:
# data = parse_html_file(data)
#########################
thisList = common_lib.convert_list_into_str(
list_of_team_stats.listOfTeamStats)
common_lib.write_file(thisList, common_lib.NBA_STANDING_CSV_FILE)
def get_statements_to_csv(stockFileDir, ticker):
#print("in get_statements_to_csv")
if ticker != 'Symbol':
if(flagLastPriceClass.flagLastPrice == True):
get_last_price_to_csv(ticker)
elif(flagLastPriceClass.flagLastPrice == False):
get_last_price_to_csv(ticker)
time.sleep(1)
get_everything_else(ticker)
# I separated get_last_price_to_csv() from get_everything_else to allow commenting out get_everything_else,
# because balance sheets, income statements and cashflow statements doesn't change everyday,
# but the last price does. It would be faster this way.
# Parse csv files
readStr = common_lib.open_file(stockFileDir + ticker + " " + "Income" + " " + "Quarterly" + ".csv")
readStr = parse_statements(readStr)
common_lib.write_file(readStr, stockFileDir + ticker + " " + "Income" + " " + "Quarterly" + ".csv")
# ttmList = get_col_ttm(stockFileDir + ticker + " " + "Income" + " " + "Quarterly" + ".csv")
# print(ttmList)
return
def start_main():
list2 = []
finalList = []
theList = common_lib.get_multiple_col(NBA_POWER_RANKING_CSV_FILE, 0, 1, 2,
3, 4)
i = 0
while i < len(theList):
teamName = common_lib.parse_the_popped_element_to_return_str(
theList.pop())
roadWin = common_lib.parse_the_popped_element_to_return_str(
theList.pop())
homeLoss = common_lib.parse_the_popped_element_to_return_str(
theList.pop())
pct = common_lib.parse_the_popped_element_to_return_str(theList.pop())
truePct = common_lib.parse_the_popped_element_to_return_str(
theList.pop())
list2.append([teamName, roadWin, homeLoss, pct, truePct])
# Add column 'PCT_GAP', 'TIER', and 'LABEL' onto header
list2.reverse()
header = list2.pop()
header.append('PCT_GAP')
header.append('TIER')
header.append('LABEL')
header.append('PROJECTION')
finalList.append(header)
# Evaluates team's TRUE_PCT to find PCT_GAP, TIER, and LABEL
# Set initial values up for looping
length = len(list2)
tier = 0
letterTier = chr(
tier + ord('A')) # Converts the int to corresponding english alphabet
labelProjeTuple = assign_label_and_projection_to_tier(letterTier)
element1 = list2.pop()
element1.append('0')
element1.append(str(letterTier))
element1.append(str(labelProjeTuple[0]))
element1.append(str(labelProjeTuple[1]))
list2.append(element1)
for i in range(length):
# for i in range(0,1):
try:
# Grab two elements from the list
element1 = list2.pop()
element2 = list2.pop()
except IndexError:
finalList.append(element2)
break
else:
# Get PCT_GAP
floatTruePct1 = float(element1[4])
floatTruePct2 = float(element2[4])
pctGap = (floatTruePct1 / floatTruePct2) - 1
# Get TIER
if pctGap > PCT_GAP_CUTOFF:
tier += 1
letterTier = chr(tier + ord('A'))
# Assign LABEL to corresponding TIER
labelProjeTuple = assign_label_and_projection_to_tier(letterTier)
element2.append(str(pctGap))
element2.append(str(letterTier))
element2.append(str(labelProjeTuple[0]))
element2.append(str(labelProjeTuple[1]))
finalList.append(element1)
list2.append(element2)
finalList = common_lib.convert_list_into_str(finalList)
common_lib.write_file(finalList, NBA_POWER_RANKING_CSV_FILE)
def start_main():
list2 = []
finalList = []
theList = common_lib.get_multiple_col(NBA_POWER_RANKING_CSV_FILE, 0,1,2,3,4)
i = 0
while i < len(theList):
teamName = common_lib.parse_the_popped_element_to_return_str(theList.pop())
roadWin = common_lib.parse_the_popped_element_to_return_str(theList.pop())
homeLoss = common_lib.parse_the_popped_element_to_return_str(theList.pop())
pct = common_lib.parse_the_popped_element_to_return_str(theList.pop())
truePct = common_lib.parse_the_popped_element_to_return_str(theList.pop())
list2.append([teamName, roadWin, homeLoss, pct, truePct])
# Add column 'PCT_GAP', 'TIER', and 'LABEL' onto header
list2.reverse()
header = list2.pop()
header.append('PCT_GAP')
header.append('TIER')
header.append('LABEL')
header.append('PROJECTION')
finalList.append(header)
# Evaluates team's TRUE_PCT to find PCT_GAP, TIER, and LABEL
# Set initial values up for looping
length = len(list2)
tier = 0
letterTier = chr(tier + ord('A')) # Converts the int to corresponding english alphabet
labelProjeTuple = assign_label_and_projection_to_tier(letterTier)
element1 = list2.pop()
element1.append('0')
element1.append(str(letterTier))
element1.append(str(labelProjeTuple[0]))
element1.append(str(labelProjeTuple[1]))
list2.append(element1)
for i in range(length):
# for i in range(0,1):
try:
# Grab two elements from the list
element1 = list2.pop()
element2 = list2.pop()
except IndexError:
finalList.append(element2)
break
else:
# Get PCT_GAP
floatTruePct1 = float(element1[4])
floatTruePct2 = float(element2[4])
pctGap = (floatTruePct1 / floatTruePct2) - 1
# Get TIER
if pctGap > PCT_GAP_CUTOFF:
tier += 1
letterTier = chr(tier + ord('A'))
# Assign LABEL to corresponding TIER
labelProjeTuple = assign_label_and_projection_to_tier(letterTier)
element2.append(str(pctGap))
element2.append(str(letterTier))
element2.append(str(labelProjeTuple[0]))
element2.append(str(labelProjeTuple[1]))
finalList.append(element1)
list2.append(element2)
finalList = common_lib.convert_list_into_str(finalList)
common_lib.write_file(finalList, NBA_POWER_RANKING_CSV_FILE)
def start_main():
tmpList = sort_true_pct_ranking()
tmpList = common_lib.convert_list_into_str(tmpList)
common_lib.write_file(tmpList, NBA_POWER_RANKING_CSV_FILE)
def save_errorList():
dataStr = common_lib.convert_errorList_into_dataStr(errorList)
common_lib.write_file(dataStr, common_lib.ERROR_FILE_DIR + "download_fundamental_data_errorList.txt")
return
def start_main():
tmpList = sort_true_pct_ranking()
tmpList = common_lib.convert_list_into_str(tmpList)
common_lib.write_file(tmpList, NBA_POWER_RANKING_CSV_FILE)
