def createSplineChart(self):
chart = QChart()
chart.setTitle("Spline chart")
for i, data_list in enumerate(self.m_dataTable):
series = QSplineSeries(chart)
for value, _ in data_list:
series.append(value)
series.setName("Series " + str(i))
chart.addSeries(series)
chart.createDefaultAxes()
return chart
def createSplineChart(self):
chart = QChart()
chart.setTitle("Spline chart")
for i, data_list in enumerate(self.m_dataTable):
series = QSplineSeries(chart)
for value, _ in data_list:
series.append(value)
series.setName("Series " + str(i))
chart.addSeries(series)
chart.createDefaultAxes()
return chart
class DynamicSpline(QChart):
def __init__(self):
super().__init__()
self.m_step = 0
self.m_x = 2
self.m_y = 1
# Инициализировать изображение
self.series = QSplineSeries(self)
red_pen = QPen(Qt.red)
red_pen.setWidth(2)
self.series.setPen(red_pen)
self.axisX = QValueAxis()
self.axisY = QValueAxis()
self.series.append(self.m_x, self.m_y)
self.addSeries(self.series)
self.addAxis(self.axisX, Qt.AlignBottom)
self.addAxis(self.axisY, Qt.AlignLeft)
self.series.attachAxis(self.axisX)
self.series.attachAxis(self.axisY)
self.axisX.setTickCount(5)
self.axisX.setRange(0, 10)
self.axisY.setRange(0, 100)
self.timer = QTimer(self)
self.timer.setInterval(1000)
self.timer.timeout.connect(self.handleTimeout)
self.timer.start()
def handleTimeout(self):
x = self.plotArea().width() / self.axisX.tickCount()
y = (self.axisX.max() - self.axisX.min()) / self.axisX.tickCount()
self.m_x += y
# В PyQt 5.11.3 и выше, QRandomGenerator.global() был переименован в global_()
try:
self.m_y=db_wrk()
except :
self.m_y = QRandomGenerator.global_().bounded(50)
self.series.append(self.m_x, self.m_y)
self.scroll(x, 0)
if self.m_x >= 10:
self.timer.stop()
def db_wrk():
return m_y
class CpuLineChart(QChart):
def __init__(self, *args, **kwargs):
super(CpuLineChart, self).__init__(*args, **kwargs)
self.m_count = 10
# 隐藏图例
self.legend().hide()
self.m_series = QSplineSeries(self)
# 设置画笔
self.m_series.setPen(QPen(QColor('#3B8CFF'), 2, Qt.SolidLine, Qt.RoundCap, Qt.RoundJoin))
self.addSeries(self.m_series)
# x轴
self.m_axisX = QDateTimeAxis(self)
self.m_axisX.setTickCount(self.m_count + 1) # 设置刻度数量
self.m_axisX.setFormat('hh:mm:ss') # 设置时间显示格式
now = QDateTime.currentDateTime() # 前10秒到现在
self.m_axisX.setRange(now.addSecs(-self.m_count), now)
self.addAxis(self.m_axisX, Qt.AlignBottom)
self.m_series.attachAxis(self.m_axisX)
# y轴
self.m_axisY = QValueAxis(self)
self.m_axisY.setLabelFormat('%d') # 设置文本格式
self.m_axisY.setMinorTickCount(4) # 设置小刻度线的数目
self.m_axisY.setTickCount(self.m_count + 1)
self.m_axisY.setRange(0, 100)
self.addAxis(self.m_axisY, Qt.AlignLeft)
self.m_series.attachAxis(self.m_axisY)
# 填充11个初始点，注意x轴 需要转为秒的时间戳
self.m_series.append(
[QPointF(now.addSecs(-i).toMSecsSinceEpoch(), 0) for i in range(self.m_count, -1, -1)])
# 定时器获取数据
self.m_timer = QTimer()
self.m_timer.timeout.connect(self.update_data)
self.m_timer.start(1000)
def update_data(self):
value = cpu_percent()
now = QDateTime.currentDateTime()
self.m_axisX.setRange(now.addSecs(-self.m_count), now) # 重新调整x轴的时间范围
# 获取原来的所有点,去掉第一个并追加新的一个
points = self.m_series.pointsVector()
points.pop(0)
points.append(QPointF(now.toMSecsSinceEpoch(), value))
# 替换法速度更快
self.m_series.replace(points)
def __init__(self, parent=None):
super().__init__(QGraphicsScene(), parent)
self.m_tooltip = None
self.m_callouts = []
self.setDragMode(QGraphicsView.NoDrag)
self.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
# chart
self.m_chart = QChart()
self.m_chart.setMinimumSize(640, 480)
self.m_chart.setTitle(
"Hover the line to show callout. Click the line to make it stay"
)
self.m_chart.legend().hide()
series = QLineSeries()
series.append(1, 3)
series.append(4, 5)
series.append(5, 4.5)
series.append(7, 1)
series.append(11, 2)
self.m_chart.addSeries(series)
series2 = QSplineSeries()
series2.append(1.6, 1.4)
series2.append(2.4, 3.5)
series2.append(3.7, 2.5)
series2.append(7, 4)
series2.append(10, 2)
self.m_chart.addSeries(series2)
self.m_chart.createDefaultAxes()
self.m_chart.setAcceptHoverEvents(True)
self.setRenderHint(QPainter.Antialiasing)
self.scene().addItem(self.m_chart)
self.m_coordX = QGraphicsSimpleTextItem(self.m_chart)
self.m_coordX.setPos(
self.m_chart.size().width() / 2 - 50, self.m_chart.size().height()
)
self.m_coordX.setText("X: ")
self.m_coordY = QGraphicsSimpleTextItem(self.m_chart)
self.m_coordY.setPos(
self.m_chart.size().width() / 2 + 50, self.m_chart.size().height()
)
self.m_coordY.setText("Y: ")
series.clicked.connect(self.keepCallout)
series.hovered.connect(self.tooltip)
series2.clicked.connect(self.keepCallout)
series2.hovered.connect(self.tooltip)
self.setMouseTracking(True)
class Chart(QChart):
def __init__(self):
super(QChart, self).__init__()
self.m_timer = QTimer()
self.m_series = None
self.m_titles = []
self.m_axis = QValueAxis()
self.m_step = None
self.m_x = 5
self.m_y = 1
random.seed(QTime.currentTime().msec())
self.m_timer.timeout.connect(self.handleTimeout)
self.m_timer.setInterval(1000)
self.m_series = QSplineSeries(self)
green = QPen(Qt.green)
green.setWidth(3)
self.m_series.setPen(green)
self.m_series.append(self.m_x, self.m_y)
self.addSeries(self.m_series)
self.createDefaultAxes()
self.setAxisX(self.m_axis, self.m_series)
self.m_axis.setTickCount(5)
self.axisX().setRange(0, 10)
self.axisY().setRange(-5, 10)
self.m_timer.start()
@pyqtSlot()
def handleTimeout(self):
x = self.plotArea().width() / self.m_axis.tickCount()
y = (self.m_axis.max() - self.m_axis.min()) / self.m_axis.tickCount()
self.m_x += y
self.m_y = random.randint(0, 5) - 2.5
self.m_series.append(self.m_x, self.m_y)
self.scroll(x, 0)
if self.m_x is 100:
self.m_timer.stop()
class DynamicSpline(QChart):
def __init__(self):
super().__init__()
self.m_step = 0
self.m_x = 5
self.m_y = 1
# 初始化图像
self.series = QSplineSeries(self)
green_pen = QPen(Qt.red)
green_pen.setWidth(3)
self.series.setPen(green_pen)
self.axisX = QValueAxis()
self.axisY = QValueAxis()
self.series.append(self.m_x, self.m_y)
self.addSeries(self.series)
self.addAxis(self.axisX, Qt.AlignBottom)
self.addAxis(self.axisY, Qt.AlignLeft)
self.series.attachAxis(self.axisX)
self.series.attachAxis(self.axisY)
self.axisX.setTickCount(5)
self.axisX.setRange(0, 10)
self.axisY.setRange(-5, 10)
self.timer = QTimer(self)
self.timer.setInterval(1000)
self.timer.timeout.connect(self.handleTimeout)
self.timer.start()
def handleTimeout(self):
x = self.plotArea().width() / self.axisX.tickCount()
y = (self.axisX.max() - self.axisX.min()) / self.axisX.tickCount()
self.m_x += y
# 在PyQt5.11.3及以上版本中，QRandomGenerator.global()被重命名为global_()
self.m_y = QRandomGenerator.global_().bounded(5) - 2.5
self.series.append(self.m_x, self.m_y)
self.scroll(x, 0)
if self.m_x >= 100:
self.timer.stop()
class BalanceHistoryChartView(QChartView):
"""
Chart that displays the balance between several dates
from an account, token or whole portfolio
"""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.chart = QChart()
self.FIAT_CURRENCY = confighandler.get_fiat_currency()
def setupChartWithData(self, selectiontype, name=None):
"""
Chart gets updated displaying new data.
The data gets extracted from cbalancehistory, according
to the selection
Parameters:
- selectiontype : in ('account','token','all')
- name: str, corresponds to account/token on cbalancehistory
"""
self.chart = QChart()
self.chart.setTheme(QChart.ChartThemeDark)
self.chart.setAnimationOptions(QChart.SeriesAnimations)
self.chart.setBackgroundBrush(QBrush(QColor('#19232d')))
# self.chart.setTitle("")
# self.chart.setTitleBrush(QBrush(QColor('white')))
# Data
# Get data
if selectiontype == 'token':
assert(name is not None)
data = chistoricalbalances.get_balances_with_token_tuple(name)
elif selectiontype == 'account':
assert(name is not None)
data = chistoricalbalances.get_balances_with_account_tuple(name)
elif selectiontype == 'all':
data = chistoricalbalances.get_balances_by_day_tuple()
# Separate balance_btc from balance_fiat
dates, balances_btc, balances_fiat = [], [], []
for date in data:
dates.append(int(date))
balances_btc.append(data[date][0])
balances_fiat.append(data[date][1])
# Series
self.btcseries = QSplineSeries()
self.fiatseries = QSplineSeries()
for date, balance_btc, balance_fiat in zip(dates, balances_btc, balances_fiat):
date = datetime.fromtimestamp(date)
date = datetime(date.year, date.month, date.day)
dateQ = QDateTime(date).toMSecsSinceEpoch()
self.btcseries.append(dateQ, balance_btc)
self.fiatseries.append(dateQ, balance_fiat)
# Append current point
currentdate = QDateTime(datetime.today()).toMSecsSinceEpoch()
if selectiontype == "all":
# Append current balances
self.btcseries.append(currentdate,
cbalances.get_total_balance_all_accounts())
self.fiatseries.append(currentdate,
cbalances.get_total_balance_all_accounts_fiat())
elif name != '':
if selectiontype == "account":
# Append current balances
self.btcseries.append(
currentdate, cbalances.get_total_account_balance(name))
self.fiatseries.append(
currentdate, cbalances.get_total_account_balance_fiat(name))
elif selectiontype == "token":
pass
# Axis X (Dates)
self.x_axis = QDateTimeAxis()
self.x_axis.setTickCount(11)
self.x_axis.setLabelsAngle(70)
self.x_axis.setFormat("dd-MM-yy")
self.x_axis.setTitleText(self.tr('Date'))
# Axis Y (Balances)
# BTC
self.y_axis_btc = QValueAxis()
if len(balances_btc) > 0:
self.y_axis_btc.setMax(max(balances_btc)*1.1)
self.y_axis_btc.setMin(min(balances_btc)*0.9)
# Fiat
self.y_axis_fiat = QValueAxis()
if len(balances_fiat) > 0:
self.y_axis_fiat.setMax(max(balances_fiat)*1.1)
self.y_axis_fiat.setMin(min(balances_fiat)*0.9)
self.chart.addAxis(self.y_axis_btc, Qt.AlignLeft)
self.chart.addAxis(self.y_axis_fiat, Qt.AlignRight)
self.chart.addAxis(self.x_axis, Qt.AlignBottom)
# Add series to chart
# BTC
self.btcseries.setName("BTC")
self.chart.addSeries(self.btcseries)
self.btcseries.attachAxis(self.x_axis)
self.btcseries.attachAxis(self.y_axis_btc)
# Fiat
self.fiatseries.setName(self.FIAT_CURRENCY.upper())
self.chart.addSeries(self.fiatseries)
self.fiatseries.attachAxis(self.x_axis)
self.fiatseries.attachAxis(self.y_axis_fiat)
self.setChart(self.chart)
self.setRenderHint(QPainter.Antialiasing)
self.setStyleSheet("border: 0px")
class ChartView(QChartView, QChart):
def __init__(self, *args, **kwargs):
super(ChartView, self).__init__(*args, **kwargs)
self.resize(800, 600)
self.setRenderHint(QPainter.Antialiasing) # 抗锯齿
self.chart_init()
self.timer_init()
def timer_init(self):
#使用QTimer，2秒触发一次，更新数据
self.timer = QTimer(self)
self.timer.timeout.connect(self.drawLine)
self.timer.start(200)
def chart_init(self):
self.chart = QChart()
self.series = QSplineSeries()
#设置曲线名称
self.series.setName("实时数据")
#把曲线添加到QChart的实例中
self.chart.addSeries(self.series)
#声明并初始化X轴，Y轴
self.dtaxisX = QDateTimeAxis()
self.vlaxisY = QValueAxis()
#设置坐标轴显示范围
self.dtaxisX.setMin(QDateTime.currentDateTime().addSecs(-300 * 1))
self.dtaxisX.setMax(QDateTime.currentDateTime().addSecs(0))
self.vlaxisY.setMin(0)
self.vlaxisY.setMax(1500)
#设置X轴时间样式
self.dtaxisX.setFormat("MM月dd hh:mm:ss")
#设置坐标轴上的格点
self.dtaxisX.setTickCount(6)
self.vlaxisY.setTickCount(11)
#设置坐标轴名称
self.dtaxisX.setTitleText("时间")
self.vlaxisY.setTitleText("量程")
#设置网格不显示
self.vlaxisY.setGridLineVisible(False)
#把坐标轴添加到chart中
self.chart.addAxis(self.dtaxisX, Qt.AlignBottom)
self.chart.addAxis(self.vlaxisY, Qt.AlignLeft)
#把曲线关联到坐标轴
self.series.attachAxis(self.dtaxisX)
self.series.attachAxis(self.vlaxisY)
self.setChart(self.chart)
def drawLine(self):
#获取当前时间
bjtime = QDateTime.currentDateTime()
#更新X轴坐标
self.dtaxisX.setMin(QDateTime.currentDateTime().addSecs(-300 * 1))
self.dtaxisX.setMax(QDateTime.currentDateTime().addSecs(0))
#当曲线上的点超出X轴的范围时，移除最早的点
if (self.series.count() > 149):
self.series.removePoints(0, self.series.count() - 149)
#产生随即数
yint = random.randint(0, 1500)
#添加数据到曲线末端
self.series.append(bjtime.toMSecsSinceEpoch(), yint)
class MainWindow(QMainWindow, Ui_MainWindow):
def __init__(self, weight_path, out_file_path, parent=None):
super(MainWindow, self).__init__(parent)
self.setupUi(self)
self.setWindowTitle("VAT ROLL COMPARE LABEL TOOL" + " " + CODE_VER)
self.showMaximized()
'''按键绑定'''
# 输入媒体
self.import_media_pushButton.clicked.connect(self.import_media) # 导入
self.start_predict_pushButton.clicked.connect(
self.predict_button_click) # 开始推理
# 输出媒体
self.open_predict_file_pushButton.clicked.connect(
self.open_file_in_browser) # 文件中显示推理视频
# 下方
self.play_pushButton.clicked.connect(
self.play_pause_button_click) # 播放
self.pause_pushButton.clicked.connect(
self.play_pause_button_click) # 暂停
self.button_dict = dict()
self.button_dict.update({
"import_media_pushButton": self.import_media_pushButton,
"start_predict_pushButton": self.start_predict_pushButton,
"open_predict_file_pushButton": self.open_predict_file_pushButton,
"play_pushButton": self.play_pushButton,
"pause_pushButton": self.pause_pushButton,
})
'''媒体流绑定输出'''
self.input_player = QMediaPlayer() # 媒体输入的widget
self.input_player.setVideoOutput(self.input_video_widget)
self.input_player.positionChanged.connect(
self.change_slide_bar) # 播放进度条
self.output_player = QMediaPlayer() # 媒体输出的widget
self.output_player.setVideoOutput(self.output_video_widget)
'''初始化GPU chart'''
self.series = QSplineSeries()
self.chart_init()
'''初始化GPU定时查询定时器'''
# 使用QTimer，0.5秒触发一次，更新数据
self.timer = QTimer(self)
self.timer.timeout.connect(self.draw_gpu_info_chart)
self.timer.start(500)
# 播放时长, 以 input 的时长为准
self.video_length = 0
self.out_file_path = out_file_path
# 推理使用另外一线程
self.predict_handler_thread = PredictHandlerThread(
self.output_player, self.out_file_path, weight_path,
self.predict_info_plainTextEdit, self.predict_progressBar,
self.fps_label, self.button_dict)
# 界面美化
self.gen_better_gui()
def gen_better_gui(self):
"""
美化界面
:return:
"""
# Play 按钮
play_icon = QIcon()
play_icon.addPixmap(QPixmap("./UI/icon/play.png"), QIcon.Normal,
QIcon.Off)
self.play_pushButton.setIcon(play_icon)
# Pause 按钮
play_icon = QIcon()
play_icon.addPixmap(QPixmap("./UI/icon/pause.png"), QIcon.Normal,
QIcon.Off)
self.pause_pushButton.setIcon(play_icon)
def chart_init(self):
"""
初始化 GPU 折线图
:return:
"""
# self.gpu_info_chart._chart = QChart(title="折线图堆叠") # 创建折线视图
self.gpu_info_chart._chart = QChart() # 创建折线视图
# chart._chart.setBackgroundVisible(visible=False) # 背景色透明
self.gpu_info_chart._chart.setBackgroundBrush(QBrush(
QColor("#FFFFFF"))) # 改变图背景色
# 设置曲线名称
self.series.setName("GPU Utilization")
# 把曲线添加到QChart的实例中
self.gpu_info_chart._chart.addSeries(self.series)
# 声明并初始化X轴，Y轴
self.dtaxisX = QDateTimeAxis()
self.vlaxisY = QValueAxis()
# 设置坐标轴显示范围
self.dtaxisX.setMin(QDateTime.currentDateTime().addSecs(-300 * 1))
self.dtaxisX.setMax(QDateTime.currentDateTime().addSecs(0))
self.vlaxisY.setMin(0)
self.vlaxisY.setMax(100)
# 设置X轴时间样式
self.dtaxisX.setFormat("hh:mm:ss")
# 设置坐标轴上的格点
self.dtaxisX.setTickCount(5)
self.vlaxisY.setTickCount(10)
# 设置坐标轴名称
self.dtaxisX.setTitleText("Time")
self.vlaxisY.setTitleText("Percent")
# 设置网格不显示
self.vlaxisY.setGridLineVisible(False)
# 把坐标轴添加到chart中
self.gpu_info_chart._chart.addAxis(self.dtaxisX, Qt.AlignBottom)
self.gpu_info_chart._chart.addAxis(self.vlaxisY, Qt.AlignLeft)
# 把曲线关联到坐标轴
self.series.attachAxis(self.dtaxisX)
self.series.attachAxis(self.vlaxisY)
# 生成 折线图
self.gpu_info_chart.setChart(self.gpu_info_chart._chart)
def draw_gpu_info_chart(self):
"""
绘制 GPU 折线图
:return:
"""
# 获取当前时间
time_current = QDateTime.currentDateTime()
# 更新X轴坐标
self.dtaxisX.setMin(QDateTime.currentDateTime().addSecs(-300 * 1))
self.dtaxisX.setMax(QDateTime.currentDateTime().addSecs(0))
# 当曲线上的点超出X轴的范围时，移除最早的点
remove_count = 600
if self.series.count() > remove_count:
self.series.removePoints(0, self.series.count() - remove_count)
# 对 y 赋值
# yint = random.randint(0, 100)
gpu_info = get_gpu_info()
yint = gpu_info[0].get("gpu_load")
# 添加数据到曲线末端
self.series.append(time_current.toMSecsSinceEpoch(), yint)
def import_media(self):
"""
导入媒体文件
:return:
"""
self.parameter_source = QFileDialog.getOpenFileUrl()[0]
self.input_player.setMedia(QMediaContent(
self.parameter_source)) # 选取视频文件
# 设置 output 为一张图片，防止资源被占用
path_current = str(Path.cwd().joinpath("area_dangerous\1.jpg"))
self.output_player.setMedia(
QMediaContent(QUrl.fromLocalFile(path_current)))
# 将 QUrl 路径转为 本地路径str
self.predict_handler_thread.parameter_source = self.parameter_source.toLocalFile(
)
self.input_player.pause() # 显示媒体
image_flag = os.path.splitext(
self.predict_handler_thread.parameter_source)[-1].lower(
) in img_formats
for item, button in self.button_dict.items():
if image_flag and item in ['play_pushButton', 'pause_pushButton']:
button.setEnabled(False)
else:
button.setEnabled(True)
# self.output_player.setMedia(QMediaContent(QFileDialog.getOpenFileUrl()[0])) # 选取视频文件
def predict_button_click(self):
"""
推理按钮
:return:
"""
# 启动线程去调用
self.predict_handler_thread.start()
def change_slide_bar(self, position):
"""
进度条移动
:param position:
:return:
"""
self.video_length = self.input_player.duration() + 0.1
self.video_horizontalSlider.setValue(
round((position / self.video_length) * 100))
self.video_percent_label.setText(
str(round((position / self.video_length) * 100, 2)) + '%')
@pyqtSlot()
def play_pause_button_click(self):
"""
播放、暂停按钮回调事件
:return:
"""
name = self.sender().objectName()
if self.parameter_source == "":
return
if name == "play_pushButton":
print("play")
self.input_player.play()
self.output_player.play()
elif name == "pause_pushButton":
self.input_player.pause()
self.output_player.pause()
@pyqtSlot()
def open_file_in_browser(self):
os.system(f"start explorer {self.out_file_path}")
@pyqtSlot()
def closeEvent(self, *args, **kwargs):
"""
重写关闭事件
:param args:
:param kwargs:
:return:
"""
print("Close")
ANGULAR_MIN = -100
ANGULAR_MAX = 100
RADIAL_MIN = -100
RADIAL_MAX = 100
series1 = QScatterSeries()
series1.setName("scatter")
for i in range(ANGULAR_MIN, ANGULAR_MAX + 1, 10):
series1.append(i, (float(i) / RADIAL_MAX) * RADIAL_MAX + 8.0)
series2 = QSplineSeries()
series2.setName("spline")
for i in range(ANGULAR_MIN, ANGULAR_MAX + 1, 10):
series2.append(i, (float(i) / RADIAL_MAX) * RADIAL_MAX)
series3 = QLineSeries()
series3.setName("star outer")
ad = (ANGULAR_MAX - ANGULAR_MIN) / 8.0
rd = (RADIAL_MAX - RADIAL_MIN) / 3.0 * 1.3
series3.append(ANGULAR_MIN, RADIAL_MAX)
series3.append(ANGULAR_MIN + ad * 1, RADIAL_MIN + rd)
series3.append(ANGULAR_MIN + ad * 2, RADIAL_MAX)
series3.append(ANGULAR_MIN + ad * 3, RADIAL_MIN + rd)
series3.append(ANGULAR_MIN + ad * 4, RADIAL_MAX)
series3.append(ANGULAR_MIN + ad * 5, RADIAL_MIN + rd)
series3.append(ANGULAR_MIN + ad * 6, RADIAL_MAX)
series3.append(ANGULAR_MIN + ad * 7, RADIAL_MIN + rd)
series3.append(ANGULAR_MIN + ad * 8, RADIAL_MAX)
class TotalEquityChartView(QChartView):
"""
Chart that displays the balance between several dates
from an account, token or whole portfolio
"""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.chart = QChart()
def setupChartWithData(self, data, linecolor='#422F8A'):
"""
Chart gets updated displaying the new data.
Data has to be expressed on a dictionary form:
- keys are timestamps
- values are total balance for that timestamp
"""
self.chart = QChart()
self.chart.setTheme(QChart.ChartThemeDark)
self.chart.setAnimationOptions(QChart.SeriesAnimations)
self.chart.setBackgroundBrush(QBrush(QColor("transparent")))
# self.chart.setTitle("")
# self.chart.setTitleBrush(QBrush(QColor('white')))
# Axis X (Dates)
self.x_axis = QDateTimeAxis()
self.x_axis.setTickCount(11)
self.x_axis.setLabelsAngle(70)
font = QFont()
font.setFamily('Roboto')
font.setLetterSpacing(QFont.PercentageSpacing, 110)
font.setPointSize(8)
self.x_axis.setLabelsFont(font)
self.x_axis.setFormat("dd-MM-yy")
self.x_axis.setTitleText(self.tr('Date'))
self.x_axis.setTitleVisible(False)
self.x_axis.setLineVisible(False)
self.x_axis.setGridLineVisible(False)
# Axis Y (Balances)
self.y_axis = QValueAxis()
if data != {}:
self.y_axis.setMax(max(data.values()) * 1.05)
self.y_axis.setMin(min(data.values()) * 0.95)
# self.y_axis.setMinorGridLineVisible(False)
self.y_axis.setLineVisible(False)
self.y_axis.setGridLineColor(QColor("#ECE9F1"))
self.chart.addAxis(self.y_axis, Qt.AlignLeft)
self.chart.addAxis(self.x_axis, Qt.AlignBottom)
# Series
self.btcseries = QSplineSeries()
for date in data:
balance = data[date]
date = QDateTime(datetime.fromtimestamp(int(float(date))))
self.btcseries.append(date.toMSecsSinceEpoch(), balance)
self.btcseries.setName("BTC")
pen = QPen(QColor(linecolor))
pen.setWidth(3)
self.btcseries.setPen(pen)
# Series functionality
self.btcseries.hovered.connect(self.selectPoint)
self.chart.addSeries(self.btcseries)
self.btcseries.attachAxis(self.x_axis)
self.btcseries.attachAxis(self.y_axis)
self.setChart(self.chart)
self.setRenderHint(QPainter.Antialiasing)
self.setStyleSheet("border: 0px; background-color: rgba(0,0,0,0); ")
self.chart.legend().hide()
def selectPoint(self, point, state):
""" Shows point where mouse is hovered """
self.chart.setTitle(
f"{int(point.y())} {confighandler.get_fiat_currency().upper()}")