This section contains snippets that were automatically translated from C++ to Python and may contain errors.
Candlestick Chart Example#
Shows how to create a candlestick chart.
Running the Example#
Creating Candlestick Charts#
To display a candlestick chart, we start by creating
QCandlestickSeries to handle daily data. We are also specifying custom increasing and decreasing body colors.
acmeSeries = QCandlestickSeries() acmeSeries.setName("Acme Ltd") acmeSeries.setIncreasingColor(QColor(Qt.green)) acmeSeries.setDecreasingColor(QColor(Qt.red))
QFile is used for accessing a text file where the non-continuous data is kept. The
CandlestickDataReader is an auxiliary class for reading the text file and finding the open, high, low, close, and timestamp values from the data. The
CandlestickDataReader is explained in more detail later. The method
readCandlestickSet() reads the values and sets them to the
QCandlestickSet item which the method returns for the caller. The returned
QCandlestickSet item is added to the series. We are also saving custom categories list for later use.
acmeData = QFile(":acme") if not acmeData.open(QIODevice.ReadOnly | QIODevice.Text): return 1 categories = QStringList() dataReader = CandlestickDataReader(acmeData) while not dataReader.atEnd(): set = dataReader.readCandlestickSet() if set: acmeSeries.append(set) categories << QDateTime.fromMSecsSinceEpoch(set.timestamp()).toString("dd")
Below, a new
QChart instance is created and the previously created series object is added to it. We also define a title, and set an animation as
chart = QChart() chart.addSeries(acmeSeries) chart.setTitle("Acme Ltd Historical Data (July 2015)") chart.setAnimationOptions(QChart.SeriesAnimations)
Here, we ask the chart to create default axes for our presentation. Then, we set custom categories for the horizontal axis by querying the pointer for the axis from the chart, and then setting the categories from previously saved custom categories list. We also set the range for the vertical axis by querying the pointer for the axis from the chart, and then setting the min and max values for that axis.
chart.createDefaultAxes() axisX = QBarCategoryAxis(chart.axes(Qt.Horizontal).at(0)) axisX.setCategories(categories) axisY = QValueAxis(chart.axes(Qt.Vertical).at(0)) axisY.setMax(axisY.max() * 1.01) axisY.setMin(axisY.min() * 0.99)
Below, we set the legend to be visible and place it at the bottom of the chart.
Finally, we add the chart onto a view. We also turn on the antialiasing for the chartView.
chartView = QChartView(chart) chartView.setRenderHint(QPainter.Antialiasing)
The chart is ready to be shown. We set the chart to be the central widget of the window. We also set the size for the chart window and show it.
window = QMainWindow() window.setCentralWidget(chartView) window.resize(800, 600) window.show()
Here, the method
readCandlestickSet() is explained in detail. First, a line is read from the file, rejecting any lines starting with # as they are considered comment lines.
line = readLine() if line.startsWith("#") or line.isEmpty(): return 0
In the file, the data is arranged as a space-delimited sequence of numbers. On this snippet the line is split into single number strings which are stored in a
strList = line.split(' ', Qt.SkipEmptyParts) if strList.count() != 5: return 0
To select values from the continuous data, following code is used. The values in a
strList are stored in the following order: timestamp, open, high, low, close.
timestamp = strList.at(0).toDouble() open = strList.at(1).toDouble() high = strList.at(2).toDouble() low = strList.at(3).toDouble() close = strList.at(4).toDouble()
Finally, the following snippet shows how to create a new
QCandlestickSet and provide it with all the necessary values.
candlestickSet = QCandlestickSet(timestamp) candlestickSet.setOpen(open) candlestickSet.setHigh(high) candlestickSet.setLow(low) candlestickSet.setClose(close)