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diff --git a/doc/src/examples-boxplotchart.qdoc b/doc/src/examples-boxplotchart.qdoc deleted file mode 100644 index 7bcc362a..00000000 --- a/doc/src/examples-boxplotchart.qdoc +++ /dev/null @@ -1,76 +0,0 @@ -/*! - \example examples/boxplotchart - \title Box and Whiskers Example - \subtitle - - The example shows how to create a box-and-whiskers chart. It also shows how to read the non-continuous data from a file, - arrange it and find medians needed for box-and-whiskers plotting. - - \image examples_boxplotchart.png - - To show the share deviation of two companies we start by creating two QBoxPlotSeries to handle monthly data. - - \snippet ../examples/boxplotchart/main.cpp 1 - - QFile class is used to open a text file where the non-continuous data is kept. The BoxDataReader is an auxiliary class for - reading the text file and finding the extreme and median values from the data. The BoxDataReader is explained in more detail later. - The method readBox reads the values and sets them to the QBoxSet item which the method returns for the caller. The returned QBoxSet - item is added to the series. - - \snippet ../examples/boxplotchart/main.cpp 2 - - In this section a second file is opened for reading the data for the second company. - - \snippet ../examples/boxplotchart/main.cpp 3 - - In this code snippet a new QChart instance is created and previously created series are added to it. The title is also defined and - animation is set to be SeriesAnimation. - - \snippet ../examples/boxplotchart/main.cpp 4 - - Here we ask the chart to create default axes for our presentation. 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 for that axis. - - \snippet ../examples/boxplotchart/main.cpp 5 - - In this section we set the legends to be visible and place them at the bottom of the chart. - - \snippet ../examples/boxplotchart/main.cpp 6 - - Finally, we add the chart onto a view. We also turn on the antialiasing for the chartView. - - \snippet ../examples/boxplotchart/main.cpp 7 - - 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. - - \snippet ../examples/boxplotchart/main.cpp 8 - - Here the method readBox is explained in detail. Firstly, a line is read from the file and lines starting with # are rejected - since they are considered as comment lines. - - \snippet ../examples/boxplotchart/boxdatareader.cpp 1 - - In this file the data is arranged as number, space, number, or space. On this snippet the line is split into single number strings which - are stored on QStringList. - - \snippet ../examples/boxplotchart/boxdatareader.cpp 2 - - The sortedList will hold the numbers in continuous order and in this code segment we show how to do it. First the sortedList is cleared and numbers - are read from the strList and stored into sortedList in double format. The qSort method arranges the sortedList into continuous order - starting from the smallest. - - \snippet ../examples/boxplotchart/boxdatareader.cpp 3 - - Below you will find a code sample showing how to select extremes and medians from the continuous data. Firstly a new QBoxSet is created. - Lower and upper extremes are simple to select; they are just first and last items on the sortedList. For medians we use a helper - method findMedian which is explained later. For the median from the upper half we need to adjust the begin number if the - amount of the numbers is even or uneven. The end number for lower half comes naturally from int rounding. - - \snippet ../examples/boxplotchart/boxdatareader.cpp 4 - - Below you will find the code sample for the method findMedian. If the amount of numbers is uneven we select the number from - the middle. For even amount numbers we take two numbers from the middle and calculate the mean value. - - \snippet ../examples/boxplotchart/boxdatareader.cpp 5 -*/ |