def setCandleColors(self, candleSet: QtChart.QCandlestickSet):
"""Sets the candle colors (green and red)
:param candleSet: a QCandlestickSet set of candles
"""
if candleSet.close() < candleSet.open():
candleSet.setPen(QtGui.QPen(QtCore.Qt.red, 1))
candleSet.setBrush(QtGui.QBrush(QtCore.Qt.red))
else:
candleSet.setPen(QtGui.QPen(QtCore.Qt.green, 1))
candleSet.setBrush(QtGui.QBrush(QtCore.Qt.black))
def getStockData(self):
self.close()
print("HI")
self.mainLayout.removeWidget(self.newChartView)
self.newSeries = QCandlestickSeries()
self.newSeries.setName("Test Chart 2")
self.saucePage = urllib.request.urlopen(
'https://www.alphavantage.co/query?function=TIME_SERIES_MONTHLY&symbol='
+ self.stockRequestBox.text() +
'&interval=1min&apikey=NOC1N35PNDQOFF1A')
self.output = self.saucePage.read()
self.webContent = self.output.decode(
'utf-8') # Convert from bytes to string
self.writePage = open(
'stock.json', 'w'
) # Write webContent to a html file because otherwise i can't use readlines()
self.writePage.write(
self.webContent) # It's very efficient code trust me
self.writePage.close()
self.sauce = json.load(open('stock.json'))
# print(sauce["Monthly Time Series"]["2018-01-14 20:23:00"]["1. open"])
self.openStocks = {}
for date in self.sauce["Monthly Time Series"]:
self.openStocks[date] = self.sauce["Monthly Time Series"][date][
"1. open"]
self.ordered = collections.OrderedDict(sorted(self.openStocks.items()))
for k, v in self.ordered.items():
dateString = k
dt = datetime.datetime(int(dateString[:4]), int(dateString[5:7]),
int(dateString[8:10]))
self.newSet = QCandlestickSet((time.mktime(dt.timetuple()) * 1000))
self.newSet.setOpen(float(v))
self.newSet.setHigh(
float(self.sauce["Monthly Time Series"][k]["2. high"]))
self.newSet.setLow(
float(self.sauce["Monthly Time Series"][k]["3. low"]))
self.newSet.setClose(
float(self.sauce["Monthly Time Series"][k]["4. close"]))
self.newSeries.append(self.newSet)
self.newChart = QChart()
self.newChart.addSeries(self.newSeries)
self.newChart.setTitle("Test Actual Chart")
self.newChart.createDefaultAxes()
self.newChartView = QChartView(self.newChart)
self.mainLayout.addWidget(self.newChartView)
self.show()
def add_series_values(self, data: pd.DataFrame, is_init=False):
self._stocks = data
self._category = self._stocks['trade_date']
self._count = len(self._category)
for _, stock in self._stocks.iterrows():
time_p = datetime.datetime.strptime(stock['trade_date'], '%Y%m%d')
time_p = float(time.mktime(time_p.timetuple()))
_set = QCandlestickSet(float(stock['open']), float(stock['high']),
float(stock['low']), float(stock['close']),
time_p, self._series)
self._series.append(_set)
if not is_init:
self._stocks = data
self._category = self._stocks['trade_date']
axis_x = self._chart.axisX()
axis_y = self._chart.axisY()
axis_x.setCategories(self._category)
max_p = self._stocks[['high', 'low']].stack().max()
min_p = self._stocks[['high', 'low']].stack().min()
axis_y.setRange(min_p * 0.99, max_p * 1.01)
self._zero_value = (0, self._chart.axisY().min())
self._max_value = (len(self._chart.axisX().categories()),
self._chart.axisY().max())
# 计算x轴单个cate的宽度，用来处理横线不能画到边界
self._cate_width = (self._max_point.x() -
self._zero_point.x()) / len(self._category)
def initChart(self):
self._chart = QChart(title='蜡烛图悬浮提示')
self._chart.setAnimationOptions(QChart.SeriesAnimations)
series = QCandlestickSeries()
series.setIncreasingColor(QColor(Qt.red))
series.setDecreasingColor(QColor(Qt.green))
series.setName(self.stocks['name'].iloc[0])
for _, stock in self.stocks.iterrows():
time_p = datetime.datetime.strptime(stock['trade_date'], '%Y%m%d')
time_p = float(time.mktime(time_p.timetuple()))
_set = QCandlestickSet(float(stock['open']), float(stock['high']),
float(stock['low']), float(stock['close']), time_p, series)
_set.hovered.connect(self.handleBarHoverd) # 鼠标悬停
series.append(_set)
self._chart.addSeries(series)
self._chart.createDefaultAxes()
self._chart.setLocalizeNumbers(True)
axis_x = self._chart.axisX()
axis_y = self._chart.axisY()
axis_x.setGridLineVisible(False)
axis_y.setGridLineVisible(False)
# axis_y.setLabelFormat("%.2f")
axis_x.setCategories(self.category)
max_p = self.stocks[['high', 'low']].stack().max() + 10
min_p = self.stocks[['high', 'low']].stack().min() - 10
axis_y.setRange(min_p, max_p)
# chart的图例
legend = self._chart.legend()
# 设置图例由Series来决定样式
legend.setMarkerShape(QLegend.MarkerShapeFromSeries)
self.setChart(self._chart)
def addSeries(
self,
_x2idx: typing.Dict,
_idx2x: list,
_chart: QChart,
_axis_x: QValueAxis,
_axis_y: QValueAxis,
):
series = QCandlestickSeries()
series.setName(self.name)
for x, y in zip(self.x_list, self.y_list):
series.append(QCandlestickSet(*y, _x2idx[x]))
if self.inc_color is not None:
series.setIncreasingColor(self.inc_color)
else:
series.setIncreasingColor(QColor("#c41919"))
if self.dec_color is not None:
series.setDecreasingColor(self.dec_color)
else:
series.setDecreasingColor(QColor("#009f9f"))
_chart.addSeries(series)
_chart.setAxisX(_axis_x, series)
_chart.setAxisY(_axis_y, series)
if self.show_value:
self.createShow()
def read_candlestick_set(self):
line = self.readLine()
if line.startswith("#") or line is None:
return None
(timestamp, open_, high, low,
close) = line.split(" ") # SkipEmptyParts\
candlestickset = QCandlestickSet(float(timestamp))
candlestickset.setOpen(float(open_))
candlestickset.setHigh(float(high))
candlestickset.setLow(float(low))
candlestickset.setClose(float(close))
return candlestickset
def plot_candlechart(ohlc_data):
app = ParaMakerApplication([])
#app.setStyleSheet("background-color:black;")
series = QCandlestickSeries()
series.setBodyOutlineVisible(False)
series.setDecreasingColor(Qt.red)
series.setIncreasingColor(Qt.green)
rsi = qc.QLineSeries() # 5-days average data line
rsi.append(QPointF(ohlc_data[300].timestamp, ohlc_data[300].closed))
rsi.append(QPointF(ohlc_data[700].timestamp, ohlc_data[700].closed))
#rsi.append(QPointF(ohlc_data[150].timestamp, ohlc_data[100].closed))
tm = [] # stores str type data
# in a loop, series and rsi append corresponding data
for candle in ohlc_data:
series.append(
QCandlestickSet(candle.opened, candle.high, candle.low,
candle.closed))
#rsi.append(QPointF(num, m))
tm.append(str(candle.timestamp))
#rsi.append(str(candle.timestamp))
#rsi_values = calculate_rsi(14, ohlc_data)
chart = QChart()
chart.setBackgroundVisible(False)
chart.setPlotAreaBackgroundVisible(False)
chart.addSeries(series) # candle
chart.addSeries(rsi) # rsi line
#chart.axisX(rsi).setRange(ohlc_data[0].timestamp, ohlc_data[-1].timestamp)
chart.createDefaultAxes()
axisXRSI = QValueAxis()
axisYRSI = QValueAxis()
axisXRSI.setRange(ohlc_data[0].timestamp, ohlc_data[-1].timestamp)
axisYRSI.setRange(ohlc_data[0].closed, ohlc_data[-1].closed)
axisXRSI.setGridLineVisible(False)
axisYRSI.setGridLineVisible(False)
chart.setAxisX(axisXRSI, rsi)
chart.setAxisY(axisYRSI, rsi)
chart.legend().hide()
chart.axisX(series).setCategories(tm)
#chart.axisX(series).setGridLineVisible(False)
#chart.axisY(series).setGridLineVisible(False)
###chart.axisX(rsi).setVisible(False)
chartview = QChartView(chart)
chartview.setRenderHint(QPainter.Antialiasing)
ui = ParaMakerWindow()
ui.setCentralWidget(chartview)
sys.exit(app.exec_())
def readCandlestickSet(self):
line = self.readLine()
if line.startswith("#") or not line:
return
strList = line.split(" ")
if len(strList) != 5:
return
timestamp, _open, high, low, close = [float(v) for v in strList]
candlestickSet = QCandlestickSet(timestamp)
candlestickSet.setOpen(_open)
candlestickSet.setHigh(high)
candlestickSet.setLow(low)
candlestickSet.setClose(close)
return candlestickSet
def appendData(self, o, h, l, c):
if len(self.tm) == self.viewLimit:
self.priceData.remove(0)
self.tm.remove(0)
dt = QDateTime.currentDateTime()
self.priceData.append(QCandlestickSet(o, h, l, c))
print(dt.toMSecsSinceEpoch())
print(type(dt.toMSecsSinceEpoch()))
self.tm.append(dt.toMSecsSinceEpoch())
self.__updateAxis()
def load_data(self, _data):
self.data = _data
# data format [[Open] [High] [Low] [Close] ]
for i in range(len(self.data[0])):
self.series.append(
QCandlestickSet(float(self.data[0][i]), float(self.data[1][i]),
float(self.data[2][i]),
float(self.data[3][i])))
self.tm.append(str(i))
i = i + 1
def main ():
if len (sys.argv) < 3:
print ("файл не задан")
sys.exit ()
with open (sys.argv[1], 'rt') as file:
TicksFile = file.read()
TicksTuple = tuple(TicksFile.split('\n')[:-1])
Bars = (FormBarFrame(TicksTuple, 60))
with open(sys.argv[1][:-4] + '_' + sys.argv[2] + '.bars', 'wt') as file:
for i in reversed(Bars):
file.write("{0} {1} {2} {3} {4} {5} {6}\n".format(str(i[0]), i[1], i[2], i[3], i[4], i[5], i[6]))
# Вывод графика
app = QApplication(sys.argv)
series = QCandlestickSeries()
series.setDecreasingColor(Qt.red)
series.setIncreasingColor(Qt.green)
#ma5 = qc.QLineSeries() # 5-days average data line
tm = [] # stores str type data
# in a loop, series and ma5 append corresponding data
#for num, o, h, l, c in Bars:
for i in range(len(Bars)):
series.append(QCandlestickSet(Bars[i][1], Bars[i][4], Bars[i][3], Bars[i][2]))
#ma5.append(QPointF(num, m))
tm.append(str(Bars[i][0]))
chart = QChart()
chart.addSeries(series) # candle
#chart.addSeries(ma5) # ma5 line
chart.setAnimationOptions(QChart.SeriesAnimations)
chart.createDefaultAxes()
chart.legend().hide()
chart.axisX(series).setCategories(tm)
#chart.axisX(ma5).setVisible(False)
chartview = QChartView(chart)
ui = QMainWindow()
ui.setGeometry(50, 50, 500, 300)
ui.setCentralWidget(chartview)
ui.show()
sys.exit(app.exec_())
def appendCandlestickSeriesData(self, ls, dtaware, ope, hig, clo, low):
x=dtaware2epochms(dtaware)
ls.append(QCandlestickSet(float(ope), float(hig), float(clo), float(low), x ))
if self.maxy==None:
self.maxy=float(hig)
self.miny=float(low)
self.maxx=x
self.minx=x
if hig>self.maxy:
self.maxy=float(hig)
if low<self.miny:
self.miny=float(low)
if x>self.maxx:
self.maxx=x
if x<self.minx:
self.minx=x
def append_data_and_plot(self, d):
"""Append and update the plot"""
num, o, h, l, c, m = d
ax1 = self.chart.axisX(self.ma5)
ay1 = self.chart.axisY(self.ma5)
xmin = xmax = num
ymin = ymax = m
step = 10
offset = 100
for p in self.ma5.pointsVector()[-step:]:
xmin = min(p.x(), xmin)
xmax = max(p.x(), xmax)
ymin = min(p.y(), ymin) - offset
ymax = max(p.y(), ymax) + offset
xmin = max(0, xmax - step)
ax1.setMin(xmin)
ax1.setMax(xmax)
ay1.setMin(ymin)
ay1.setMax(ymax)
self.ma5.append(QPointF(num, m))
self.tm.append(str(num))
self.series.append(QCandlestickSet(o, h, l, c))
ax2 = self.chart.axisX(self.series)
ax2.setCategories(self.tm)
ax2.setMin(str(xmin))
ax2.setMax(str(xmax))
ay2 = self.chart.axisY(self.series)
ay2.setMin(ymin)
ay2.setMax(ymax)
def add_volume_data(self, q, volume):
if self.in_datetime_range(q):
self.volume_series.append(QCandlestickSet(0, volume, 0, volume, q))
(6, 7500, 7590, 7480, 7560, 7512),
(7, 7560, 7830, 7540, 7800, 7584),
)
app = QApplication(sys.argv)
#
series = QCandlestickSeries()
series.setDecreasingColor(Qt.red)
series.setIncreasingColor(Qt.green)
ma5 = qc.QLineSeries() # 5-days average data line
tm = [] # stores str type data
# in a loop, series and ma5 append corresponding data
for num, o, h, l, c, m in data:
series.append(QCandlestickSet(o, h, l, c))
ma5.append(QPointF(num, m))
tm.append(str(num))
chart = QChart()
chart.addSeries(series) # candle
chart.addSeries(ma5) # ma5 line
chart.setAnimationOptions(QChart.SeriesAnimations)
chart.createDefaultAxes()
chart.legend().hide()
chart.axisX(series).setCategories(tm)
chart.axisX(ma5).setVisible(False)
def initUI(self):
self.mainLayout = QVBoxLayout()
self.stockFrame = QFrame()
self.mainLayout.addWidget(self.stockFrame)
self.mainButton = QPushButton("Push Me!")
self.mainButton.clicked.connect(self.getStockData)
self.mainLayout.addWidget(self.mainButton)
self.stockRequestLayout = QHBoxLayout()
self.stockRequestedLabel = QLabel("Stock: ")
self.stockRequestLayout.addWidget(self.stockRequestedLabel)
self.stockRequestBox = QLineEdit()
self.stockRequestLayout.addWidget(self.stockRequestBox)
self.mainLayout.addLayout(self.stockRequestLayout)
self.setLayout(self.mainLayout)
self.newSeries = QCandlestickSeries()
self.newSeries.setName("Test Chart")
# for i in range(1000):
# self.newSet = QCandlestickSet(time.time() * 1000 + (random.randint(-5, 5) * 60000))
# self.newSet.setOpen(random.randint(1, 10))
# self.newSet.setHigh(random.randint(1, 10))
# self.newSet.setLow(random.randint(1, 10))
# self.newSet.setClose(random.randint(1, 10))
# self.newSeries.append(self.newSet)
# self.newSet2 = QCandlestickSet()
# self.newSet2.setOpen(1.00)
# self.newSet2.setHigh(10.00)
# self.newSet2.setLow(0.50)
# self.newSet2.setClose(5.00)
# self.newSeries.append(self.newSet2)
self.saucePage = urllib.request.urlopen(
'https://www.alphavantage.co/query?function=TIME_SERIES_MONTHLY&symbol=BHP&apikey=NOC1N35PNDQOFF1A'
)
self.output = self.saucePage.read()
self.webContent = self.output.decode(
'utf-8') # Convert from bytes to string
self.writePage = open(
'stock.json', 'w'
) # Write webContent to a html file because otherwise i can't use readlines()
self.writePage.write(
self.webContent) # It's very efficient code trust me
self.writePage.close()
self.sauce = json.load(open('stock.json'))
# print(sauce["Monthly Time Series"]["2018-01-14 20:23:00"]["1. open"])
self.openStocks = {}
for date in self.sauce["Monthly Time Series"]:
self.openStocks[date] = self.sauce["Monthly Time Series"][date][
"1. open"]
self.ordered = collections.OrderedDict(sorted(self.openStocks.items()))
count = 0
for k, v in self.ordered.items():
dateString = k
dt = datetime.datetime(int(dateString[:4]), int(dateString[5:7]),
int(dateString[8:10]))
self.newSet = QCandlestickSet((time.mktime(dt.timetuple()) * 1000))
self.newSet.setOpen(float(v))
self.newSet.setHigh(
float(self.sauce["Monthly Time Series"][k]["2. high"]))
self.newSet.setLow(
float(self.sauce["Monthly Time Series"][k]["3. low"]))
self.newSet.setClose(
float(self.sauce["Monthly Time Series"][k]["4. close"]))
self.newSeries.append(self.newSet)
count = count + 1
# if count > 8:
# break
self.newChart = QChart()
self.newChart.addSeries(self.newSeries)
self.newChart.setTitle("Test Actual Chart")
self.newChart.createDefaultAxes()
self.newChartView = QChartView(self.newChart)
self.mainLayout.addWidget(self.newChartView)
# self.subjectLabel = QLabel()
# self.subjectLabel.setAlignment(Qt.Qt.AlignCenter)
# self.mainLayout.addWidget(self.subjectLabel)
# self.testLabel = QLabel()
# self.testLabel.setAlignment(Qt.Qt.AlignCenter)
# self.mainLayout.addWidget(self.testLabel)
# self.randomButton = QPushButton("Choose")
# self.randomButton.clicked.connect(self.randomDef)
# self.mainLayout.addWidget(self.randomButton)
# self.setLayout(self.mainLayout)
self.setGeometry(300, 300, 300, 300)
self.setWindowTitle("Stocks")
self.show()
def __drawChart(self): ##绘制图表
self.chart.removeAllSeries() #删除所有序列
self.chart.setTitle("股票日线图--" + self.ui.tabWidget.tabText(0))
## 1. 创建蜡烛图
seriesCandle = QCandlestickSeries()
seriesCandle.setName("蜡烛图")
seriesCandle.setIncreasingColor(Qt.red) #暴涨
seriesCandle.setDecreasingColor(Qt.darkGreen) #暴跌
visible = self.ui.chkBox_Outline.isChecked()
seriesCandle.setBodyOutlineVisible(visible)
seriesCandle.setCapsVisible(self.ui.chkBox_Caps.isChecked())
self.chart.addSeries(seriesCandle)
seriesCandle.attachAxis(self.__axisX)
seriesCandle.attachAxis(self.__axisY)
seriesCandle.clicked.connect(self.do_candleClicked)
seriesCandle.hovered.connect(self.do_candleHovered)
## 2. 创建MA曲线
pen = QPen()
pen.setWidth(2)
seriesMA1 = QLineSeries() #不能使用QSplineSeries
seriesMA1.setName("MA5")
pen.setColor(Qt.magenta)
seriesMA1.setPen(pen)
self.chart.addSeries(seriesMA1)
seriesMA1.attachAxis(self.__axisX)
seriesMA1.attachAxis(self.__axisY)
seriesMA2 = QLineSeries()
seriesMA2.setName("MA10")
pen.setColor(Qt.yellow)
seriesMA2.setPen(pen)
self.chart.addSeries(seriesMA2)
seriesMA2.attachAxis(self.__axisX)
seriesMA2.attachAxis(self.__axisY)
seriesMA3 = QLineSeries()
seriesMA3.setName("MA20")
pen.setColor(Qt.cyan)
seriesMA3.setPen(pen)
self.chart.addSeries(seriesMA3)
seriesMA3.attachAxis(self.__axisX)
seriesMA3.attachAxis(self.__axisY)
seriesMA4 = QLineSeries()
seriesMA4.setName("MA60")
pen.setColor(Qt.green) #green
seriesMA4.setPen(pen)
self.chart.addSeries(seriesMA4)
seriesMA4.attachAxis(self.__axisX)
seriesMA4.attachAxis(self.__axisY)
## 3. 填充数据到序列
dataRowCount = self.itemModel.rowCount() #数据点个数
for i in range(dataRowCount):
dateStr = self.itemModel.item(i, 0).text() #日期字符串，如"2017/02/03"
dateValue = QDate.fromString(dateStr, "yyyy/MM/dd") #QDate
dtValue = QDateTime(dateValue) #日期时间 QDateTime
timeStamp = dtValue.toMSecsSinceEpoch() #毫秒数
oneCandle = QCandlestickSet() #QCandlestickSet
oneCandle.setOpen(float(self.itemModel.item(i, 1).text())) #开盘
oneCandle.setHigh(float(self.itemModel.item(i, 2).text())) #最高
oneCandle.setLow(float(self.itemModel.item(i, 3).text())) #最低
oneCandle.setClose(float(self.itemModel.item(i, 4).text())) #收盘
oneCandle.setTimestamp(timeStamp) #时间戳
seriesCandle.append(oneCandle) #添加到序列
M1 = float(self.itemModel.item(i, 5).text())
M2 = float(self.itemModel.item(i, 6).text())
M3 = float(self.itemModel.item(i, 7).text())
M4 = float(self.itemModel.item(i, 8).text())
seriesMA1.append(timeStamp, M1)
seriesMA2.append(timeStamp, M2)
seriesMA3.append(timeStamp, M3)
seriesMA4.append(timeStamp, M4)
## 4. 设置坐标轴范围
minDateStr = self.itemModel.item(0, 0).text() #日期字符串，如"2017/02/03"
minDate = QDate.fromString(minDateStr, "yyyy/MM/dd") #QDate
minDateTime = QDateTime(minDate) #最小日期时间,QDateTime
maxDateStr = self.itemModel.item(dataRowCount - 1,
0).text() #日期字符串，如"2017/05/03"
maxDate = QDate.fromString(maxDateStr, "yyyy/MM/dd")
maxDateTime = QDateTime(maxDate) #最大日期时间
self.__axisX.setRange(minDateTime, maxDateTime) #日期时间范围
dateFormat = self.ui.comboDateFormat.currentText() #格式，如"MM-dd"
self.__axisX.setFormat(dateFormat) #标签格式
self.__axisY.applyNiceNumbers() #自动
for marker in self.chart.legend().markers(): #QLegendMarker类型列表
marker.clicked.connect(self.do_LegendMarkerClicked)
def addCandle(self, open, close, high, low, timestamp):
candlestickSet = QCandlestickSet()
candlestickSet.setOpen(open)
candlestickSet.setClose(close)
candlestickSet.setHigh(high)
candlestickSet.setLow(low)
candlestickSet.setTimestamp(timestamp)
pen = QPen()
candlestickSet.setPen(pen)
self.candleSeries.append(candlestickSet)
def draw_chart(self):
exchange = self._exchange
market_symbol = self._market_symbol
interval_name = self._chart_dropdown_interval.currentText()
lookback_name = self._chart_dropdown_lookback.currentText()
interval = self._CTMain._settings['Chart Interval'][interval_name]
lookback = self._CTMain._settings['Chart Lookback Window'][
lookback_name]
load_chart = self._CTMain._Crypto_Trader.trader[
exchange].load_chart_data(market_symbol, interval, lookback)
self.CandlestickSeries.clear()
self.VolumeBarSeries.clear()
ch_min = load_chart[0][3]
ch_max = load_chart[0][2]
t_min = load_chart[0][0]
t_max = load_chart[0][0]
v_max = load_chart[0][6]
for point in load_chart:
candle = CTCandlestickSet(timestamp=point[0] * 1000,
c_open=point[1],
c_high=point[2],
c_low=point[3],
c_close=point[4],
volume=point[5],
base_volume=point[6],
base_curr=self._base_curr,
curr_curr=self._curr_curr,
parent=self)
self.CandlestickSeries.append(candle)
ch_min = min(ch_min, point[3])
ch_max = max(ch_max, point[2])
t_min = min(t_min, point[0])
t_max = max(t_max, point[0])
v_max = max(v_max, point[6])
min_y = max(0, ch_min - 0.15 * (ch_max - ch_min))
max_y = ch_max + 0.1 * (ch_max - ch_min)
max_volume = 0
for point in load_chart:
# high = min_y + 0.1 * (max_y - min_y) * point[6] / v_max
# low = min_y
v_low = 0
v_high = point[6]
max_volume = max(max_volume, point[6])
if point[4] >= point[1]:
v_open = v_low
v_close = v_high
else:
v_open = v_high
v_close = v_low
volume_candle = QCandlestickSet(v_open, v_high, v_low, v_close,
point[0] * 1000, self)
self.VolumeBarSeries.append(volume_candle)
if not self._chart_view._chart_loaded:
self._chart_view.chart.addSeries(self.CandlestickSeries)
self._chart_view_volume.chart().addSeries(self.VolumeBarSeries)
self._chart_view._chart_loaded = True
axis_x = QDateTimeAxis()
axis_x.setFormat("dd-MM-yyyy h:mm")
axis_x.setRange(datetime.fromtimestamp(int(t_min) - 30 * interval),
datetime.fromtimestamp(int(t_max) + 30 * interval))
self._chart_view.chart.setAxisX(axis_x, self.CandlestickSeries)
axis_y = QValueAxis()
axis_y.setRange(min_y, max_y)
self._chart_view.chart.setAxisY(axis_y, self.CandlestickSeries)
axis_x2 = QDateTimeAxis()
axis_x2.setFormat("dd-MM-yyyy h:mm")
axis_x2.setRange(datetime.fromtimestamp(int(t_min) - 30 * interval),
datetime.fromtimestamp(int(t_max) + 30 * interval))
self._chart_view_volume.chart().setAxisX(axis_x2, self.VolumeBarSeries)
axis_y2 = QValueAxis()
axis_y2.setRange(0, max_volume)
self._chart_view_volume.chart().setAxisY(axis_y2, self.VolumeBarSeries)
def add_candle_stick(self, q, o, h, l, c):
if self.in_datetime_range(q):
self.candle_stick_series.append(QCandlestickSet(o, h, l, c, q))
