def show_diagram(self):
self.student_diagram_ui.label_4.setText(self.label_2.text())
self.student_diagram_ui.label_7.setText(self.label_8.text())
self.student_diagram_ui.label_8.setText(self.label_6.text())
self.student_diagram_ui.label_10.setText(self.label_4.text())
max_value = 0
series = QBarSeries()
for i in self.result:
set0 = QBarSet(i[0])
set0.append(float(i[1]))
series.append(set0)
if max_value < (float(i[1])):
max_value = float(i[1])
axisY = QValueAxis()
axisY.setRange(0, max_value)
chart = QChart()
series.attachAxis(axisY)
chart.addSeries(series)
chart.setAnimationOptions(QChart.SeriesAnimations)
chart.addAxis(axisY, Qt.AlignLeft)
chart.legend().setVisible(True)
chart.legend().setAlignment(Qt.AlignBottom)
centralwidget = self.student_diagram_ui.centralwidget
self.student_diagram_ui.chartview = QChartView(chart, centralwidget)
self.student_diagram_ui.chartview.setGeometry(QtCore.QRect(10, 110, 880, 371))
self.student_diagram_ui.pushButton_3.show()
self.student_diagram_ui.update(self.dark_theme)
self.student_diagram_window.show()
def createLineChart(self):
chart = QChart()
chart.setTitle("像素分布直方图")
seriesArray = []
# for i, data_list in enumerate(self.m_dataTable):
# series = QLineSeries()
# for value, _ in data_list:
# series.append(value)
# series.setName("Series " + str(i))
# seriesArray.append(series)
# chart.addSeries(series)
axisX = QValueAxis()
axisY = QValueAxis()
axisX.setRange(0, 255)
axisY.setRange(0, 50000)
chart.setAxisX(axisX)
chart.setAxisY(axisY)
# for i in seriesArray:
# chart.removeSeries(i)
return chart
def __init__(self, parent):
super(ScoresWindow, self).__init__(parent)
self.parent = parent
mainLayout = QBoxLayout(QBoxLayout.TopToBottom)
columnLayout = QBoxLayout(QBoxLayout.LeftToRight)
column = [QBoxLayout(QBoxLayout.TopToBottom) for i in range(3)]
for i in column: columnLayout.addLayout(i)
self.cell = [QLabel() for i in range(9)]
for i in range(9): column[i//3].addWidget(self.cell[i])
chartView = QChartView()
axisY = QValueAxis()
axisY.setRange(-700,700)
axisY.setLabelFormat("%d")
self.chart = LineChart(((10,20,30,40,50,60,70,80),(0,-10,-20,-30,-40,50,-20,0)))
self.chart.addAxis(axisY, Qt.AlignLeft)
for i in self.chart.series:
i.attachAxis(axisY)
chartView.setChart(self.chart)
self.level = QLabel()
mainLayout.addLayout(columnLayout)
mainLayout.addWidget(chartView)
self.setLayout(mainLayout)
self.setFixedSize(300,400)
self.setModal(True)
self.setStrings()
def bargraph(self):
'''
Processes and Creates Bar Graph.
'''
self.barchart = self.findChild(QChartView, "attackgraph")
bardata = self.data.getBar()
chartobj = Barchart(bardata)
chartseries = chartobj.getSeries()
# create QChart object and add data
chart = QChart()
chart.addSeries(chartseries)
chart.setTitle("Attacks Over the Past 12 Months")
chart.setAnimationOptions(QChart.SeriesAnimations)
axisX = QBarCategoryAxis()
axisX.append(chartobj.getKeys())
chart.addAxis(axisX, Qt.AlignBottom)
axisY = QValueAxis()
axisY.setRange(0, chartobj.getMax())
chart.addAxis(axisY, Qt.AlignLeft)
chart.legend().setVisible(False)
self.barchart.setChart(chart)
def __init__(self, parent=None):
super().__init__(parent)
self.setWindowTitle("Demo12_1, QChart 基本绘图")
self.resize(580, 420)
chart = QChart()
chart.setTitle("简单函数曲线")
chartView = QChartView(self)
chartView.setChart(chart)
self.setCentralWidget(chartView)
series0 = QLineSeries()
series1 = QLineSeries()
series0.setName("sin曲线")
series1.setName("cos曲线")
chart.addSeries(series0)
chart.addSeries(series1)
t = 0
intv = 0.1
pointCount = 100
for i in range(pointCount):
y1 = math.cos(t)
series0.append(t, y1)
y2 = 1.5 * math.sin(t + 20)
series1.append(t, y2)
t = t + intv
axisX = QValueAxis()
axisX.setRange(0, 10)
axisX.setTitleText("time(secs)")
axisY = QValueAxis()
axisY.setRange(-2, 2)
axisY.setTitleText("value")
chart.setAxisX(axisX, series0)
chart.setAxisY(axisY, series0)
chart.setAxisX(axisX, series1)
chart.setAxisY(axisY, series1)
def _init_chart(self) -> None:
series = QBarSeries()
axis_x = QBarCategoryAxis()
axis_y = QValueAxis()
data_set = defaultdict(int)
for title, money in self.base:
data_set[title] += money
for title, money in data_set.items():
bar = QBarSet(title)
axis_x.append(title)
bar.append(money)
series.append(bar)
#
self.chart = QChart()
self.chart.addSeries(series)
self.chart.setAnimationOptions(QChart.SeriesAnimations)
#
series.attachAxis(axis_x)
self.chart.addAxis(axis_x, Qt.AlignBottom)
axis_y.setRange(0, max(data_set.values()))
axis_y.setTickCount(11)
self.chart.addAxis(axis_y, Qt.AlignLeft)
series.attachAxis(axis_y)
#
self.chart.legend().setVisible(True)
self.chart.legend().setAlignment(Qt.AlignBottom)
def setAxisRange(self, min, max):
axisY = QValueAxis()
axisY.setRange(min, max)
axisY.setLabelFormat(" ")
self.addAxis(axisY, Qt.AlignLeft)
for s in self.series:
s.attachAxis(axisY)
def create_barchart(self, series, max_val, animation=True):
if animation:
animation_type = QChart.AllAnimations
else:
animation_type = QChart.NoAnimation
chart = QChart()
chart.addSeries(series)
chart.setBackgroundVisible(False)
chart.setMargins(QMargins())
chart.setAnimationOptions(animation_type)
labels = ('Human', 'Bot')
axisX = QBarCategoryAxis()
axisX.append(labels)
axisY = QValueAxis()
axisY.setTitleText("Percentage (%)")
axisY.setRange(0, max_val)
chart.addAxis(axisX, Qt.AlignBottom)
chart.addAxis(axisY, Qt.AlignLeft)
font = QFont()
font.setPointSize(9)
chart.legend().setVisible(True)
chart.legend().setFont(font)
chart.legend().setAlignment(Qt.AlignBottom)
self.ui.barchart.setChart(chart)
self.ui.barchart.setRenderHint(QPainter.Antialiasing)
def initChart(self, xAxis):
self._chart = QChart()
#调整边距
self._chart.layout().setContentsMargins(0, 0, 0, 0) #外界
self._chart.setMargins(QMargins(3, 0, 3, 0)) #内界
self._chart.setBackgroundRoundness(0)
self._chart.setBackgroundVisible(False)
#设置主题
self._chart.setTheme(QChart.ChartThemeBlueIcy)
# 抗锯齿
self.setRenderHint(QPainter.Antialiasing)
# 开启动画效果
self._chart.setAnimationOptions(QChart.SeriesAnimations)
self.categories = xAxis
self._series = QPercentBarSeries(self._chart)
self._chart.addSeries(self._series)
axis_x = QBarCategoryAxis(self._chart)
axis_x.append(self.categories)
axis_x.setLabelsAngle(280)
axis_y = QValueAxis(self._chart)
axis_y.setTitleText("比例")
axis_y.setRange(0, 100)
self._chart.addAxis(axis_x, Qt.AlignBottom)
self._chart.addAxis(axis_y, Qt.AlignLeft)
self._series.attachAxis(axis_x)
self._series.attachAxis(axis_y)
self.setChart(self._chart)
def __init__(self, predictions, probabilities):
# calls the parent (QMainWindow) constructor
super().__init__()
# Size of the window
self.resize(800, 600)
# The title of the window
self.setWindowTitle("Flower Confidence score graph")
# The array to hold flower sets
self.flowerSets = []
# A Q bar series object
self.flowerSeries = QBarSeries()
# The for loop add Q bar sets and probabilities to the Q bsr series object.
for i in range(5):
self.flowerSets.append(
QBarSet(predictions[i] +
" ({0:.3f}%)".format(probabilities[i])))
self.flowerSets[i].append(probabilities[i])
self.flowerSeries.append(self.flowerSets[i])
# creates the char that will be the bar graph chart (also the base class of all qt charts)
flowerChart = QChart()
# added the series object to the chart object
flowerChart.addSeries(self.flowerSeries)
# Adds a title to the graph
flowerChart.setTitle('Confidence score percentages by flower type')
# Gives the graph a nice animation when opened
flowerChart.setAnimationOptions(QChart.SeriesAnimations)
# The next two line label the x axis
axisX = QBarCategoryAxis()
axisX.append(["Flower Types"])
# Gives the y axis its values
axisY = QValueAxis()
axisY.setRange(0, probabilities[0])
# added the axises to the chart
flowerChart.addAxis(axisX, Qt.AlignBottom)
flowerChart.addAxis(axisY, Qt.AlignLeft)
# Makes sure teh legend is visible
flowerChart.legend().setVisible(True)
# Places the legend to the bottom of the chart
flowerChart.legend().setAlignment(Qt.AlignBottom)
# places the chart in a chart view
flowerChartView = QChartView(flowerChart)
# Adds the chart to the main widget
self.setCentralWidget(flowerChartView)
def build(self):
self.setWindowTitle("Histogram - " + self.name)
self.setMinimumSize(400, 300)
# Close when ctrl+w is triggered
QShortcut(QKeySequence("Ctrl+W"), self, self.close)
# 2D array -> 1D array
img = self.image.ravel()
# Process histogram
histogram, bin_edges = np.histogram(img, bins='auto')
bar_series = QBarSeries()
bar_ = QBarSet("")
# Append values
for val in histogram:
bar_.append(val)
pen = bar_.pen()
pen.setColor(Qt.black)
pen.setWidth(0.1)
bar_.setPen(pen)
# Append bar to the bar series
bar_series.append(bar_)
# Chart object
chart = QChart()
chart.addSeries(bar_series)
# Active animation
chart.setAnimationOptions(QChart.SeriesAnimations)
# Do not show title
chart.legend().setVisible(False)
# Draw Axes, with [min, max]
# Y axis
h_max = histogram.max()
axis_y = QValueAxis()
axis_y.setRange(0, h_max)
# X axis
be_max = bin_edges.max()
be_min = bin_edges.min()
axis_x = QValueAxis()
axis_x.setRange(be_min, be_max)
# Add axis to chart + rendering
chart.addAxis(axis_x, Qt.AlignBottom)
chart.addAxis(axis_y, Qt.AlignLeft)
view = QChartView(chart)
view.setRenderHint(QPainter.Antialiasing)
self.setCentralWidget(view)
def createBar(self):
min_num, max_num = 0, 100
linked_bag_list = []
try:
df = self.linked['Beam Diff'].dropna()
linked_bag_list = df.values.tolist()
min_num = int(min(linked_bag_list))
if min_num > 0: # check if greater than 0, set to 0
min_num = 0
max_num = int(max(linked_bag_list))
except AttributeError:
self.statusbar.showMessage('Data not ready')
count = [0] * (max_num + 1) # choose the largest num as length of count
for num in linked_bag_list:
count[int(num)] += 1 # update every number's count
max_count = max(count)
setBar = QBarSet('Beam Difference Occurrence')
setBar.append(count)
brush = QBrush(QColor(0x57B1FD))
pen = QPen(QColor(0x57B1FD))
pen.setWidth(2)
setBar.setPen(pen)
setBar.setBrush(brush)
series = QBarSeries()
series.append(setBar)
chart = QChart()
chart.setTheme(QChart.ChartThemeBlueIcy)
font = QFont()
font.setPixelSize(18)
chart.setTitleFont(font)
chart.setTitle('Linked Bins Histogram')
chart.addSeries(series)
chart.setAnimationOptions(QChart.SeriesAnimations)
axisX = QValueAxis()
axisX.setTitleText("Attenuation Window")
axisX.setRange(min_num, max_num+20)
chart.setAxisX(axisX, series)
axisY = QValueAxis()
axisY.setTitleText("Frequency")
axisY.setRange(0, max_count+20)
chart.setAxisY(axisY, series)
chart.legend().hide()
chartView = QChartView(chart)
chartView.setRenderHint(QPainter.Antialiasing)
return chartView
def __createChart(self):
self.__chart = QChart()
self.__chart.setTitle("简单函数曲线")
self.ui.chartView.setChart(self.__chart)
self.ui.chartView.setRenderHint(QPainter.Antialiasing)
series0 = QLineSeries()
series0.setName("Sin曲线")
series1 = QLineSeries()
series1.setName("Cos曲线")
self.__curSeries=series0 #当前序列
pen=QPen(Qt.red)
pen.setStyle(Qt.DotLine) #SolidLine, DashLine, DotLine, DashDotLine
pen.setWidth(2)
series0.setPen(pen) #序列的线条设置
pen.setStyle(Qt.SolidLine) #SolidLine, DashLine, DotLine, DashDotLine
pen.setColor(Qt.blue)
series1.setPen(pen) #序列的线条设置
self.__chart.addSeries(series0)
self.__chart.addSeries(series1)
axisX = QValueAxis()
self.__curAxis=axisX #当前坐标轴
axisX.setRange(0, 10) #设置坐标轴范围
axisX.setLabelFormat("%.1f") #标签格式
axisX.setTickCount(11) #主分隔个数
axisX.setMinorTickCount(4)
axisX.setTitleText("time(secs)") #标题
axisX.setGridLineVisible(True)
axisX.setMinorGridLineVisible(False)
axisY = QValueAxis()
axisY.setRange(-2, 2)
axisY.setLabelFormat("%.2f") #标签格式
axisY.setTickCount(5)
axisY.setMinorTickCount(4)
axisY.setTitleText("value")
axisY.setGridLineVisible(True)
axisY.setMinorGridLineVisible(False)
## self.__chart.setAxisX(axisX, series0) #添加X坐标轴
## self.__chart.setAxisX(axisX, series1) #添加X坐标轴
## self.__chart.setAxisY(axisY, series0) #添加Y坐标轴
## self.__chart.setAxisY(axisY, series1) #添加Y坐标轴
##另一种实现设置坐标轴的方法
self.__chart.addAxis(axisX,Qt.AlignBottom) #坐标轴添加到图表，并指定方向
self.__chart.addAxis(axisY,Qt.AlignLeft)
series0.attachAxis(axisX) #序列 series0 附加坐标轴
series0.attachAxis(axisY)
series1.attachAxis(axisX) #序列 series1 附加坐标轴
series1.attachAxis(axisY)
def load_glycation(self, filename: Optional[str] = None) -> None:
"""
Load glycation data from a CSV file and display it
in the corresponding chart view.
:param str filename: directly load this file
:return: nothing, sets self.se_glycation
:rtype: None
"""
# load and clean glycation data
if filename is None:
filename, self.last_path = get_filename(
self, "open", self.tr("Load glycation data ..."),
self.last_path, FileTypes(["csv"]))
if filename is None:
return
logging.info(
self.tr("Loading glycation data in '{}'").format(filename))
try:
self.glycation = read_clean_datasets(filename)
except (OSError, ValueError) as e:
logging.error(str(e))
QMessageBox.critical(self, self.tr("Error"), str(e))
return
# extract x- and y-values from series
x_values = [str(i) for i in self.glycation.index]
y_values = [a.nominal_value for a in self.glycation]
# assemble the chart
bar_set = QBarSet("glycation abundance")
bar_set.append(y_values)
bar_set.setColor(QColor("#a1dab4"))
bar_set.hovered.connect(self.update_glycation_label)
bar_series = QBarSeries()
bar_series.append(bar_set)
x_axis = QBarCategoryAxis()
x_axis.append(x_values)
x_axis.setTitleText(self.tr("count"))
y_axis = QValueAxis()
y_axis.setRange(0, 100)
y_axis.setTitleText(self.tr("abundance"))
y_axis.setLabelFormat("%d")
chart = QChart()
chart.addSeries(bar_series)
chart.setAxisX(x_axis, bar_series)
chart.setAxisY(y_axis, bar_series)
chart.legend().setVisible(False)
chart.setBackgroundRoundness(0)
chart.layout().setContentsMargins(0, 0, 0, 0)
chart.setMargins(QMargins(5, 5, 5, 5))
self.cvGlycation.setChart(chart)
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 set_x_aix(self, years: []) -> QValueAxis: # x轴坐标——年份
x_aix = QValueAxis()
x_aix.setRange(years[0], years[-1])
x_aix.setLabelFormat('%d')
x_aix.setGridLineVisible(True)
x_aix.setTickCount(len(years))
x_aix.setMinorTickCount(5) # 每两个月一个小分级
return x_aix
def beforeDelay(self):
print("in before delay bar")
min_num, max_num = 0, 100
max_count = 0
total_stopped_time = []
try:
total_stopped_time = self.tm.total_stopped_time
max_num = max(total_stopped_time)
except AttributeError:
self.statusbar.showMessage('Data not ready')
count = total_stopped_time
count = [0] * (int(max_num) + 1
) # choose the largest num as length of count
for num in total_stopped_time:
count[int(num)] += 1 # update every number's count
max_count = max(count)
print(len(total_stopped_time), max_count)
setBar = QBarSet('stop time')
setBar.append(count)
brush = QBrush(QColor(0x57B1FD))
pen = QPen(QColor(0x57B1FD))
pen.setWidth(2)
setBar.setPen(pen)
setBar.setBrush(brush)
series = QBarSeries()
series.append(setBar)
chart = QChart()
font = QFont()
font.setPixelSize(18)
chart.setTitleFont(font)
chart.setTitle('Stop time Histogram (before)')
chart.addSeries(series)
chart.setAnimationOptions(QChart.SeriesAnimations)
axisX = QValueAxis()
axisX.setRange(min_num, max_num + 20)
chart.setAxisX(axisX, series)
axisY = QValueAxis()
axisY.setRange(0, max_count + 20)
chart.setAxisY(axisY, series)
chart.legend().setVisible(True)
chart.legend().setAlignment(Qt.AlignBottom)
chartView = QChartView(chart)
chartView.setRenderHint(QPainter.Antialiasing)
# MainWindow.setCentralWidget(chartView)
return chartView
def afterDelay(self):
# print("in after delay bar")
min_num, max_num = 0, 100
max_count = 0
total_stopped_after_delay = []
count = [0] * (int(max_num) + 1) # choose the largest num as length of count
try:
total_stopped_after_delay = self.tm.total_stopped_after_delay
max_num = max(total_stopped_after_delay)
count = [0] * (int(max_num) + 1) # choose the largest num as length of count
for num in total_stopped_after_delay:
count[int(num)] += 1 # update every number's count
max_count = max(count)
except (AttributeError, ValueError):
self.statusbar.showMessage('Data not ready')
setBar = QBarSet('Stop Time Occurrence')
setBar.append(count)
brush = QBrush(QColor(0xA6E22E)) # Green
pen = QPen(QColor(0xA6E22E)) # Green
pen.setWidth(2)
setBar.setPen(pen)
setBar.setBrush(brush)
series = QBarSeries()
series.append(setBar)
chart = QChart()
font = QFont()
font.setPixelSize(18)
chart.setTitleFont(font)
chart.setTitle('Stop time Occurrence (after)')
chart.addSeries(series)
chart.setAnimationOptions(QChart.SeriesAnimations)
axisX = QValueAxis()
axisX.setRange(min_num, max_num+20)
chart.setAxisX(axisX, series)
axisY = QValueAxis()
axisY.setRange(0, max_count+20)
chart.setAxisY(axisY, series)
chart.legend().setVisible(True)
chart.legend().setAlignment(Qt.AlignBottom)
chartView = QChartView(chart)
chartView.setRenderHint(QPainter.Antialiasing)
# MainWindow.setCentralWidget(chartView)
return chartView
def __init__(self, parent=None):
super().__init__(parent)
self.setWindowTitle("Demo12_1, QChart基本绘图")
self.resize(580, 420)
#创建chart和chartView
chart = QChart() #创建 Chart
chart.setTitle("简单函数曲线")
chartView = QChartView(self) #创建 ChartView
chartView.setChart(chart) #Chart添加到ChartView
self.setCentralWidget(chartView)
#创建曲线序列
series0 = QLineSeries()
series1 = QLineSeries()
series0.setName("Sin曲线")
series1.setName("Cos曲线")
chart.addSeries(series0) #序列添加到图表
chart.addSeries(series1)
#序列添加数值
t = 0
intv = 0.1
pointCount = 100
for i in range(pointCount):
y1 = math.cos(t)
series0.append(t, y1)
y2 = 1.5 * math.sin(t + 20)
series1.append(t, y2)
t = t + intv
##创建坐标轴
axisX = QValueAxis() #X 轴
axisX.setRange(0, 10) #设置坐标轴范围
axisX.setTitleText("time(secs)") #标题
## axisX.setLabelFormat("%.1f") #标签格式
## axisX.setTickCount(11) #主分隔个数
## axisX.setMinorTickCount(4)
## axisX.setGridLineVisible(false)
axisY = QValueAxis() #Y 轴
axisY.setRange(-2, 2)
axisY.setTitleText("value")
## axisY.setTickCount(5)
## axisY.setMinorTickCount(4)
## axisY.setLabelFormat("%.2f") #标签格式
## axisY.setGridLineVisible(false)
#为序列设置坐标轴
chart.setAxisX(axisX, series0) #为序列设置坐标轴
chart.setAxisY(axisY, series0)
chart.setAxisX(axisX, series1) #为序列设置坐标轴
chart.setAxisY(axisY, series1)
class Window(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle("PyQtChart Demo")
self.setGeometry(500, 275, 650, 500)
self.show()
self.createLineChart()
def createLineChart(self):
self.font = QFont("Arial")
self.font.setPixelSize(16)
self.font.setBold(True)
self.pen = QPen(QColor(0, 153, 0))
self.pen.setWidth(3)
self.series = QLineSeries(self)
self.series.setPen(self.pen)
self.x = np.arange(0, 2 * np.pi, 0.01)
for i in self.x:
self.series.append(i, np.sin(i))
self.chart = QChart()
self.chart.addSeries(self.series)
self.chart.setAnimationOptions(QChart.SeriesAnimations)
self.chart.setTitleFont(self.font)
self.chart.setTitleBrush(QBrush(Qt.blue))
self.chart.setTitle("Line Chart Demo")
self.chart.legend().setVisible(True)
self.chart.legend().setAlignment(Qt.AlignBottom)
self.chartview = QChartView(self.chart)
self.chartview.setRenderHint(QPainter.Antialiasing)
self.axisX = QValueAxis()
self.axisX.setRange(0, 2 * np.pi)
self.axisX.setTickCount(6)
self.axisX.setLabelFormat("%.1f")
self.axisX.setTitleText("x")
self.axisY = QValueAxis()
self.axisY.setRange(0, 100)
self.axisY.setLabelFormat("%d")
self.axisY.setTitleText("sin(x)")
self.chart.addAxis(self.axisX, Qt.AlignBottom)
self.chart.addAxis(self.axisY, Qt.AlignLeft)
self.setCentralWidget(self.chartview)
def update_axes(self):
# Get and remove all axes
for axis in self.chart.axes():
self.chart.removeAxis(axis)
# Create new axes
# Create axis X
# axisX = QDateTimeAxis()
# axisX.setTickCount(5)
# axisX.setFormat("dd MMM yyyy")
# axisX.setTitleText("Date")
# self.chart.addAxis(axisX, Qt.AlignBottom)
# axisX.rangeChanged.connect(self.axis_range_changed)
axisX = QValueAxis()
axisX.setTickCount(10)
axisX.setLabelFormat("%li")
axisX.setTitleText("Seconds")
self.chart.addAxis(axisX, Qt.AlignBottom)
# axisX.rangeChanged.connect(self.axis_range_changed)
# Create axis Y
axisY = QValueAxis()
axisY.setTickCount(5)
axisY.setLabelFormat("%.3f")
axisY.setTitleText("Values")
self.chart.addAxis(axisY, Qt.AlignLeft)
# axisY.rangeChanged.connect(self.axis_range_changed)
ymin = None
ymax = None
# Attach axes to series, find min-max
for series in self.chart.series():
series.attachAxis(axisX)
series.attachAxis(axisY)
vect = series.pointsVector()
for i in range(len(vect)):
if ymin is None:
ymin = vect[i].y()
ymax = vect[i].y()
else:
ymin = min(ymin, vect[i].y())
ymax = max(ymax, vect[i].y())
# Update range
# print('min max', ymin, ymax)
if ymin is not None:
axisY.setRange(ymin, ymax)
# Make the X,Y axis more readable
axisX.applyNiceNumbers()
def init_series(self, series, label):
"""
Series settings
"""
self.chart.setAxisX(self.axis_X, series)
axis_Y = QValueAxis() # pylint: disable=invalid-name
axis_Y.setLabelFormat("%i")
axis_Y.setTitleText(label)
axis_Y.setRange(0, 100)
self.chart.addAxis(axis_Y, Qt.AlignLeft)
self.chart.setAxisY(axis_Y, series)
def agg_glycoforms(self) -> None:
"""
Display glycoform data in the corresponding chart view.
:return: nothing
:rtype: None
"""
# aggregate "other" abundances
if self.cbAggGlycoforms.isChecked():
agg_abundance = (
self.glycoforms.iloc[self.sbAggGlycoforms.value():].sum())
self.glycoforms_agg = (
self.glycoforms.iloc[:self.sbAggGlycoforms.value()].append(
pd.Series(agg_abundance, index=[self.tr("other")])))
else:
self.glycoforms_agg = self.glycoforms
# extract x- and y-values from series
x_values = [str(i) for i in self.glycoforms_agg.index]
y_values = [a.nominal_value for a in self.glycoforms_agg]
# assemble the chart
bar_set = QBarSet("glycoform abundance")
bar_set.append(y_values)
bar_set.setColor(QColor("#2c7fb8"))
bar_set.hovered.connect(self.update_glycoform_label)
bar_series = QBarSeries()
bar_series.append(bar_set)
x_axis = QBarCategoryAxis()
x_axis.append(x_values)
x_axis.setTitleVisible(False)
x_axis.setLabelsAngle(270)
range_max = max(self.glycoforms_agg).nominal_value
range_max = math.ceil(range_max / 20) * 20
tick_count = range_max // 20 + 1
y_axis = QValueAxis()
y_axis.setRange(0, range_max)
y_axis.setTickCount(tick_count)
y_axis.setTitleText(self.tr("abundance"))
y_axis.setLabelFormat("%d")
chart = QChart()
chart.addSeries(bar_series)
chart.setAxisX(x_axis, bar_series)
chart.setAxisY(y_axis, bar_series)
chart.legend().setVisible(False)
chart.setBackgroundRoundness(0)
chart.layout().setContentsMargins(0, 0, 0, 0)
chart.setMargins(QMargins(5, 5, 5, 5))
self.cvGlycoforms.setChart(chart)
class Chart(QChartView):
def __init__(self, barCount: int):
super().__init__()
self.chart = QChart()
self.setChart(self.chart)
self.setRenderHint(QPainter.Antialiasing)
self.chart.setAnimationOptions(QChart.SeriesAnimations)
self.chart.setBackgroundVisible(True)
self.chart.legend().setVisible(False)
self.series = QBarSeries()
self.chart.addSeries(self.series)
self.barValues = QBarSet('')
self.series.append(self.barValues)
for i in range(barCount):
self.barValues << 0.
self.xAxis = QBarCategoryAxis()
self.chart.addAxis(self.xAxis, Qt.AlignBottom)
self.series.attachAxis(self.xAxis)
self.xAxis.setTitleText('yPlus ranges')
self.yAxis = QValueAxis()
self.chart.addAxis(self.yAxis, Qt.AlignLeft)
self.series.attachAxis(self.yAxis)
self.yAxis.setTitleText('% of surface area')
self.yAxis.setRange(0, 100)
def setBarRanges(self, pois: List[float]):
for i in range(len(pois)):
if i == 0:
tag = 'lt ' + str(pois[0])
elif i == len(pois) - 1:
tag = 'gt ' + str(pois[-1])
else:
tag = str(pois[i]) + ' - ' + str(pois[i + 1])
if not self.xAxis.count():
self.xAxis.append(tag)
else:
self.xAxis.replace(self.xAxis.at(i), tag)
def setBarValues(self, values: List[float]):
assert len(values) == self.barValues.count()
for i in range(len(values)):
if not self.barValues.count():
self.barValues.insert(i, 0.)
else:
self.barValues.replace(i, values[i])
class CharPlotWidget(QChartView):
def __init__(self, parent=None):
super().__init__(parent=parent)
self.setRenderHint(QPainter.Antialiasing)
self._chart = self.chart()
self._axis_x = QValueAxis()
self._axis_y = QValueAxis()
self.series = QLineSeries(self)
self._chart.addSeries(self.series)
self._chart.addAxis(self._axis_x, Qt.AlignBottom)
self._chart.addAxis(self._axis_y, Qt.AlignLeft)
self.series.attachAxis(self._axis_x)
self.series.attachAxis(self._axis_y)
self._axis_x.setTickCount(5)
self._axis_x.setRange(0, 10)
self._axis_y.setTickCount(5)
self._axis_y.setRange(0, 10)
self._chart.legend().hide()
def plot(self, xs, ys):
self.series.replace([QPointF(x, y) for x, y in zip(xs, ys)])
@property
def axes_titles(self):
return self._axis_x.titleText(), self._axis_y.titleText()
@axes_titles.setter
def axes_titles(self, value):
x, y = value
self._axis_x.setTitleText(x)
self._axis_y.setTitleText(y)
@property
def title(self):
return self._chart.title()
@title.setter
def title(self, value):
self._chart.setTitle(value)
@property
def legend(self):
return self._chart.legend()
def main():
import sys
app = QApplication(sys.argv)
set0 = QBarSet("Jane")
set1 = QBarSet("John")
set2 = QBarSet("Axel")
set3 = QBarSet("Mary")
set4 = QBarSet("Samantha")
set0 << 1 << 2 << 3 << 4 << 5 << 6
set1 << 5 << 0 << 0 << 4 << 0 << 7
set2 << 3 << 5 << 8 << 13 << 8 << 5
set3 << 5 << 6 << 7 << 3 << 4 << 5
set4 << 9 << 7 << 5 << 3 << 1 << 2
series = QBarSeries()
series.append(set0)
series.append(set1)
series.append(set2)
series.append(set3)
series.append(set4)
chart = QChart()
chart.addSeries(series)
chart.setTitle("Simple barchart example")
chart.setAnimationOptions(QChart.SeriesAnimations)
categories = ("Jan", "Feb", "Mar", "Apr", "May", "Jun")
axisX = QBarCategoryAxis()
axisX.append(categories)
chart.addAxis(axisX, Qt.AlignBottom)
series.attachAxis(axisX)
axisY = QValueAxis()
axisY.setRange(0, 15)
chart.addAxis(axisY, Qt.AlignLeft)
series.attachAxis(axisY)
chart.legend().setVisible(True)
chart.legend().setAlignment(Qt.AlignBottom)
chartView = QChartView(chart)
chartView.setRenderHint(QPainter.Antialiasing)
window = QMainWindow()
window.setCentralWidget(chartView)
window.resize(420, 300)
window.show()
sys.exit(app.exec_())
def ageWiseBarGraph(self):
self.w = Window2()
self.w.show()
set0 = QBarSet('below 25')
set1 = QBarSet('25 to 35')
set2 = QBarSet('36 to 45')
set3 = QBarSet('46 to 55')
set4 = QBarSet('above 55')
file="killings.csv"
ageSet = [0,0,0,0,0]
with open('killings.csv') as File:
csvReader = csv.reader(File)
next(csvReader)
for row in csvReader:
if int(row[5]) < 25:
ageSet[0]+=1
elif int(row[5]) >=25 and int(row[5])<= 35:
ageSet[1]+=1
elif int(row[5]) >35 and int(row[5])<=45:
ageSet[2]+=1
elif int(row[5]) >45 and int(row[5])<= 55:
ageSet[3]+=1
else:
ageSet[4]+=1
print (ageSet)
set0.append(ageSet[0])
set1.append(ageSet[1])
set2.append(ageSet[2])
set3.append(ageSet[3])
set4.append(ageSet[4])
series = QBarSeries()
series.append(set0)
series.append(set1)
series.append(set2)
series.append(set3)
series.append(set4)
chart = QChart()
chart.addSeries(series)
chart.setTitle('Age wise comparison')
chart.setAnimationOptions(QChart.SeriesAnimations)
msg = ('Death Toll')
axisX = QBarCategoryAxis()
axisX.append(msg)
axisY = QValueAxis()
axisY.setRange(0, 200)
chart.addAxis(axisX, Qt.AlignBottom)
chart.addAxis(axisY, Qt.AlignLeft)
chart.legend().setVisible(True)
chart.legend().setAlignment(Qt.AlignBottom)
chartView = QChartView(chart)
self.w.setCentralWidget(chartView)
def __createChart(self):
self.__chart = QChart()
self.ui.chartView.setChart(self.__chart)
self.__chart.legend().setVisible(False) #隐藏图例
self.__chart.setMargins(QMargins(0, 0, 0, 0)) #把间距设置到最小
#初始化线条数组
series = [QLineSeries() for _ in range(15)]
color = [
'#FF88C2', '#FF8888', '#FFA488', '#FFBB66', '#FFDD55', '#FFFF77',
'#DDFF77', '#BBFF66', '#66FF66', '#77FFCC', '#77FFEE', '#66FFFF',
'#77DDFF', '#99BBFF', '#9999FF'
]
#设置线条颜色形状
pen = QPen()
pen.setStyle(Qt.SolidLine)
pen.setWidth(2)
for i in range(15):
pen.setColor(QColor(color[i]))
series[i].setPen(pen)
#向表格添加线条
for i in range(15):
self.__chart.addSeries(series[i])
#设置坐标轴
axisX = QValueAxis()
#self.__curAxis=axisX #当前坐标轴
axisX.setRange(0, 200) #设置坐标轴范围
axisX.setLabelFormat("%d") #标签格式
axisX.setTickCount(5) #主分隔个数
axisX.setMinorTickCount(4)
axisX.setGridLineVisible(True)
axisX.setMinorGridLineVisible(False)
axisY = QValueAxis()
axisY.setRange(0, 1024)
axisY.setLabelFormat("%d") #标签格式
axisY.setTickCount(5)
axisY.setMinorTickCount(4)
axisY.setGridLineVisible(True)
axisY.setMinorGridLineVisible(False)
self.__chart.addAxis(axisX, Qt.AlignBottom) #坐标轴添加到图表，并指定方向
self.__chart.addAxis(axisY, Qt.AlignLeft)
for i in range(15):
series[i].attachAxis(axisX)
series[i].attachAxis(axisY)
def set_bound(self, dt, low, high):
axisX = QDateTimeAxis()
axisX.setFormat('h:mm')
start_time = QDateTime()
finish_time = QDateTime()
start_time.setDate(QDate(dt.year, dt.month, dt.day))
start_time.setTime(QTime(9, 0))
finish_time.setDate(QDate(dt.year, dt.month, dt.day))
finish_time.setTime(QTime(15, 30))
axisX.setRange(start_time, finish_time)
axisY = QValueAxis()
axisY.setRange(low, high)
self.chart_view.chart().setAxisX(axisX, self.price_series)
self.chart_view.chart().setAxisY(axisY, self.price_series)
class StaticChart(QChart):
def __init__(self):
super().__init__()
self.series_list = []
self.axisX = QValueAxis()
self.axisY = QValueAxis()
self.axisPen = QPen(PyQt5.QtCore.Qt.red)
self.axisPen.setWidth(4)
self.axisX.setLinePen(self.axisPen)
self.axixBrush = QBrush(PyQt5.QtCore.Qt.green)
self.axisX.setLabelsBrush(self.axixBrush)
self.axisX.setGridLineVisible(True)
self.setAxisX(self.axisX)
self.setAxisY(self.axisY)
def add_xyseries(self, type=StaticSeries):
series = type()
self.addSeries(series)
series.attachAxis(self.axisX)
series.attachAxis(self.axisY)
self.series_list.append(series)
return series
def set_xrange(self, xmin, xmax):
self.axisX.setRange(xmin, xmax)
def set_yrange(self, ymin, ymax):
self.axisY.setRange(ymin, ymax)
def autoscale(self):
xmax = ymax = float("-inf")
xmin = ymin = float("+inf")
for s in self.series_list:
points = s.pointsVector()
for p in points:
if p.x() < xmin: xmin = p.x()
if p.x() > xmax: xmax = p.x()
if p.y() < ymin: ymin = p.y()
if p.y() > ymax: ymax = p.y()
self.set_xrange(xmin, xmax)
self.set_yrange(ymin, ymax)
class View:
def __init__(
self, _name: str,
_wizard: "ParadoxTrading.Chart.Wizard",
_adaptive: bool,
_view_stretch: int,
_chart_stretch: int,
_index: int,
):
self.name = _name
self.wizard = _wizard
self.adaptive = _adaptive
self.view_stretch = _view_stretch
self.chart_stretch = _chart_stretch
self.index = _index
self.series_table: typing.Dict[str, SeriesAbstract] = {}
self.axis_x = QValueAxis()
# show x will slow down chart
self.axis_x.setVisible(False)
self.axis_y = QValueAxis()
# set name to axis_y, price for price, volume for volume, etc
self.axis_y.setTitleText(self.name)
self.begin_y: float = None
self.end_y: float = None
def addBar(
self, _name: str,
_x_list: typing.Sequence, _y_list: typing.Sequence,
_color: typing.Any = None, _show_value: bool = False,
):
assert _name not in self.series_table.keys()
self.series_table[_name] = BarSeries(
_name, _x_list, _y_list, _color, _show_value
)
def addLine(
self, _name: str,
_x_list: typing.Sequence, _y_list: typing.Sequence,
_color: typing.Any = None, _show_value: bool = False,
):
assert _name not in self.series_table.keys()
self.series_table[_name] = LineSeries(
_name, _x_list, _y_list, _color, _show_value
)
def addScatter(
self, _name: str,
_x_list: typing.Sequence, _y_list: typing.Sequence,
_color: typing.Any = None, _show_value: bool = False
):
assert _name not in self.series_table.keys()
self.series_table[_name] = ScatterSeries(
_name, _x_list, _y_list, _color, _show_value
)
def addCandle(
self, _name: str,
_x_list: typing.Sequence,
_y_list: typing.Sequence[typing.Sequence],
_inc_color: typing.Any = None,
_dec_color: typing.Any = None,
_show_value: bool = False
):
assert _name not in self.series_table.keys()
self.series_table[_name] = CandleSeries(
_name, _x_list, _y_list, _inc_color, _dec_color, _show_value
)
def calcSetX(self) -> typing.Set:
"""
get the set of x, to get x range for wizard
:return: the set of all x value
"""
tmp = set()
for v in self.series_table.values():
tmp |= set(v.calcSetX())
return tmp
def calcRangeY(self, _begin_x=None, _end_x=None):
"""
get range of y for this view
:return: (min, max)
"""
tmp_min_list = []
tmp_max_list = []
for v in self.series_table.values():
min_y, max_y = v.calcRangeY(_begin_x, _end_x)
if min_y is not None and max_y is not None:
tmp_min_list.append(min_y)
tmp_max_list.append(max_y)
if tmp_min_list:
self.begin_y = min(tmp_min_list)
if tmp_max_list:
self.end_y = max(tmp_max_list)
def setAxisX(self, _begin: float, _end: float):
self.axis_x.setRange(_begin, _end)
def setAxisY(self, _begin: float, _end: float):
self.axis_y.setRange(_begin, _end)
def createChartView(
self, _x2idx: dict, _idx2x: list
) -> QHBoxLayout:
chart = QChart()
# assign y range
self.calcRangeY()
self.setAxisY(self.begin_y, self.end_y)
value_layout = QFormLayout()
# add each series
for v in self.series_table.values():
v.addSeries(_x2idx, _idx2x, chart, self.axis_x, self.axis_y)
if v.show_value:
value_layout.addWidget(v.show_group)
# create chartview and layout for view and value
chartview = ChartView(chart, self.wizard)
chartview.setRenderHint(QPainter.Antialiasing)
global_layout = QHBoxLayout()
global_layout.addWidget(chartview, self.chart_stretch)
global_layout.addLayout(value_layout)
return global_layout
def updateValue(self, _x):
for v in self.series_table.values():
if v.show_value:
v.updateValue(_x)
class PlotterPane(QChartView):
"""
This plotter widget makes viewing sensor data easy!
This widget represents a chart that will look for tuple data from
the MicroPython REPL, Python 3 REPL or Python 3 code runner and will
auto-generate a graph.
"""
data_flood = pyqtSignal()
def __init__(self, parent=None):
super().__init__(parent)
# Holds the raw input to be checked for actionable data to display.
self.input_buffer = []
# Holds the raw actionable data detected while plotting.
self.raw_data = []
self.setObjectName('plotterpane')
self.max_x = 100 # Maximum value along x axis
self.max_y = 1000 # Maximum value +/- along y axis
self.flooded = False # Flag to indicate if data flooding is happening.
# Holds deques for each slot of incoming data (assumes 1 to start with)
self.data = [deque([0] * self.max_x), ]
# Holds line series for each slot of incoming data (assumes 1 to start
# with).
self.series = [QLineSeries(), ]
# Ranges used for the Y axis (up to 1000, after which we just double
# the range).
self.y_ranges = [1, 5, 10, 25, 50, 100, 250, 500, 1000]
# Set up the chart with sensible defaults.
self.chart = QChart()
self.chart.legend().hide()
self.chart.addSeries(self.series[0])
self.axis_x = QValueAxis()
self.axis_y = QValueAxis()
self.axis_x.setRange(0, self.max_x)
self.axis_y.setRange(-self.max_y, self.max_y)
self.axis_x.setLabelFormat("time")
self.axis_y.setLabelFormat("%d")
self.chart.setAxisX(self.axis_x, self.series[0])
self.chart.setAxisY(self.axis_y, self.series[0])
self.setChart(self.chart)
self.setRenderHint(QPainter.Antialiasing)
def process_bytes(self, data):
"""
Takes raw bytes and, if a valid tuple is detected, adds the data to
the plotter.
The the length of the bytes data > 1024 then a data_flood signal is
emitted to ensure Mu can take action to remain responsive.
"""
# Data flooding guards.
if self.flooded:
return
if len(data) > 1024:
self.flooded = True
self.data_flood.emit()
return
data = data.replace(b'\r\n', b'\n')
self.input_buffer.append(data)
# Check if the data contains a Python tuple, containing numbers, on a
# single line (i.e. ends with \n).
input_bytes = b''.join(self.input_buffer)
lines = input_bytes.split(b'\n')
for line in lines:
if line.startswith(b'(') and line.endswith(b')'):
# Candidate tuple. Extract the raw bytes into a numeric tuple.
raw_values = [val.strip() for val in line[1:-1].split(b',')]
numeric_values = []
for raw in raw_values:
try:
numeric_values.append(int(raw))
# It worked, so move onto the next value.
continue
except ValueError:
# Try again as a float.
pass
try:
numeric_values.append(float(raw))
except ValueError:
# Not an int or float, so ignore this value.
continue
if numeric_values:
# There were numeric values in the tuple, so use them!
self.add_data(tuple(numeric_values))
# Reset the input buffer.
self.input_buffer = []
if lines[-1]:
# Append any bytes that are not yet at the end of a line, for
# processing next time we read data from self.serial.
self.input_buffer.append(lines[-1])
def add_data(self, values):
"""
Given a tuple of values, ensures there are the required number of line
series, add the data to the line series, update the range of the chart
so the chart displays nicely.
"""
# Store incoming data to dump as CSV at the end of the session.
self.raw_data.append(values)
# Check the number of incoming values.
if len(values) != len(self.series):
# Adjust the number of line series.
value_len = len(values)
series_len = len(self.series)
if value_len > series_len:
# Add new line series.
for i in range(value_len - series_len):
new_series = QLineSeries()
self.chart.addSeries(new_series)
self.chart.setAxisX(self.axis_x, new_series)
self.chart.setAxisY(self.axis_y, new_series)
self.series.append(new_series)
self.data.append(deque([0] * self.max_x))
else:
# Remove old line series.
for old_series in self.series[value_len:]:
self.chart.removeSeries(old_series)
self.series = self.series[:value_len]
self.data = self.data[:value_len]
# Add the incoming values to the data to be displayed, and compute
# max range.
max_ranges = []
for i, value in enumerate(values):
self.data[i].appendleft(value)
max_ranges.append(max([max(self.data[i]), abs(min(self.data[i]))]))
if len(self.data[i]) > self.max_x:
self.data[i].pop()
# Re-scale y-axis.
max_y_range = max(max_ranges)
y_range = bisect.bisect_left(self.y_ranges, max_y_range)
if y_range < len(self.y_ranges):
self.max_y = self.y_ranges[y_range]
elif max_y_range > self.max_y:
self.max_y += self.max_y
elif max_y_range < self.max_y / 2:
self.max_y = self.max_y / 2
self.axis_y.setRange(-self.max_y, self.max_y)
# Ensure floats are used to label y axis if the range is small.
if self.max_y <= 5:
self.axis_y.setLabelFormat("%2.2f")
else:
self.axis_y.setLabelFormat("%d")
# Update the line series with the data.
for i, line_series in enumerate(self.series):
line_series.clear()
xy_vals = []
for j in range(self.max_x):
val = self.data[i][self.max_x - 1 - j]
xy_vals.append((j, val))
for point in xy_vals:
line_series.append(*point)
def set_theme(self, theme):
"""
Sets the theme / look for the plotter pane.
"""
if theme == 'day':
self.chart.setTheme(QChart.ChartThemeLight)
elif theme == 'night':
self.chart.setTheme(QChart.ChartThemeDark)
else:
self.chart.setTheme(QChart.ChartThemeHighContrast)
