def createHistogramOfJongmok(Jongmokhan) :
'''
종목의 종가를 histogram을 그린다.
:param Jongmokhan:
:return:
'''
coll주식종목Data = pymongo.MongoClient('localhost', 27017).get_database("xadb").get_collection("주식종목Data")
dictcondi = {'종목명':Jongmokhan }
dictproj = { "주식차트_일주월.종가":1, "_id":0 }
objret = coll주식종목Data.find_one(dictcondi, dictproj)
listdictdatestrprice = objret["주식차트_일주월"]
listprice = []
for dictdatestrprice in listdictdatestrprice :
listprice.append(dictdatestrprice["종가"])
plotjongmok.plotHistogram([listprice ], [Jongmokhan])
# 전날 종가대비 가격 변동율의 histogram
listdiffrate =[]
priceprev = listprice[0]
for price in listprice :
listdiffrate.append((price- priceprev)/priceprev)
priceprev = price
plotjongmok.plotHistogram([listdiffrate ], ["price diff rate of " + Jongmokhan])
def createHistogramOfJongmok(Jongmokhan):
'''
종목의 종가를 histogram을 그린다.
:param Jongmokhan:
:return:
'''
coll주식종목Data = pymongo.MongoClient(
'localhost', 27017).get_database("xadb").get_collection("주식종목Data")
dictcondi = {'종목명': Jongmokhan}
dictproj = {"주식차트_일주월.종가": 1, "_id": 0}
objret = coll주식종목Data.find_one(dictcondi, dictproj)
listdictdatestrprice = objret["주식차트_일주월"]
listprice = []
for dictdatestrprice in listdictdatestrprice:
listprice.append(dictdatestrprice["종가"])
plotjongmok.plotHistogram([listprice], [Jongmokhan])
# 전날 종가대비 가격 변동율의 histogram
listdiffrate = []
priceprev = listprice[0]
for price in listprice:
listdiffrate.append((price - priceprev) / priceprev)
priceprev = price
plotjongmok.plotHistogram([listdiffrate],
["price diff rate of " + Jongmokhan])
def createHistorgramOfPERPBRByMarket():
'''
purpose : 코스피, 코스탁, 전체시장에 대해 PER, PBR의 histogram을 그린다.
:return:
'''
coll주식종목Data = pymongo.MongoClient(
'localhost', 27017).get_database("xadb").get_collection("주식종목Data")
listKOSPIPER = []
listKOSPIPBR = []
# 코스피 종목구성.
dictcondi = {'시장구분': "1"}
dictproj = {"PER": 1, "PBR": 1, "_id": 0}
objret = coll주식종목Data.find(dictcondi, dictproj)
for obj in objret:
per = obj["PER"]
if per > -10 and per <= 100:
listKOSPIPER.append(per)
pbr = obj["PBR"]
if pbr > -10 and pbr <= 40:
listKOSPIPBR.append(pbr)
listKOSDACPER = []
listKOSDACPBR = []
# 코스피 종목구성.
dictcondi = {'시장구분': "2"}
dictproj = {"PER": 1, "PBR": 1, "_id": 0}
objret = coll주식종목Data.find(dictcondi, dictproj)
for obj in objret:
per = obj["PER"]
if per > -10 and per <= 100:
listKOSDACPER.append(per)
pbr = obj["PBR"]
if pbr > -10 and pbr <= 40:
listKOSDACPBR.append(pbr)
plotjongmok.plotHistogram([listKOSPIPBR, listKOSDACPBR],
["PBR_KOSPI", "PBR_KOSDAC"])
plotjongmok.plotHistogram([listKOSPIPER, listKOSDACPER],
["PER_KOSPI", "PER_KOSDAC"])
chi2, p = stats.chisquare(listKOSPIPER)
print('chisquare output')
print('Z-score = ' + str(chi2))
print('P-value = ' + str(p))
def createHistorgramOfPERPBRByMarket():
'''
purpose : 코스피, 코스탁, 전체시장에 대해 PER, PBR의 histogram을 그린다.
:return:
'''
coll주식종목Data = pymongo.MongoClient('localhost', 27017).get_database("xadb").get_collection("주식종목Data")
listKOSPIPER = []
listKOSPIPBR = []
# 코스피 종목구성.
dictcondi = {'시장구분':"1" }
dictproj = {"PER":1, "PBR":1, "_id":0}
objret = coll주식종목Data.find(dictcondi, dictproj)
for obj in objret :
per = obj["PER"]
if per > -10 and per <= 100 :
listKOSPIPER.append(per)
pbr = obj["PBR"]
if pbr > -10 and pbr <= 40:
listKOSPIPBR.append(pbr)
listKOSDACPER = []
listKOSDACPBR = []
# 코스피 종목구성.
dictcondi = {'시장구분':"2" }
dictproj = {"PER":1, "PBR":1, "_id":0}
objret = coll주식종목Data.find(dictcondi, dictproj)
for obj in objret :
per = obj["PER"]
if per > -10 and per <= 100 :
listKOSDACPER.append(per)
pbr = obj["PBR"]
if pbr > -10 and pbr <= 40:
listKOSDACPBR.append(pbr)
plotjongmok.plotHistogram([listKOSPIPBR,listKOSDACPBR ], ["PBR_KOSPI", "PBR_KOSDAC"])
plotjongmok.plotHistogram([listKOSPIPER,listKOSDACPER ], ["PER_KOSPI", "PER_KOSDAC"])
chi2, p = stats.chisquare(listKOSPIPER)
print('chisquare output')
print('Z-score = ' + str(chi2))
print('P-value = ' + str(p))
