wxpython widgets wx.html Help window

wxpython widgets wx.html Help window

 wx.html.HtmlWindow to provide help in our application. We can create a standalone window or we can create a window that is going to be a part of the application. The following script will create a help window using the latter idea.

 
import wx
import wx.html as html

class HelpWindow(wx.Frame):
    def __init__(self, parent, id, title):
        wx.Frame.__init__(self, parent, id, title, size=(570, 400))

        toolbar = self.CreateToolBar()
        toolbar.AddLabelTool(1, 'Exit', wx.Bitmap('img/quit.png'))
        toolbar.AddLabelTool(2, 'Help', wx.Bitmap('img/help.png'))
        toolbar.Realize()

        self.splitter = wx.SplitterWindow(self, -1)
        self.panelLeft = wx.Panel(self.splitter, -1, style=wx.BORDER_SUNKEN)

        self.panelRight = wx.Panel(self.splitter, -1)
        vbox2 = wx.BoxSizer(wx.VERTICAL)
        header = wx.Panel(self.panelRight, -1, size=(-1, 20))
        header.SetBackgroundColour('#6f6a59')
        header.SetForegroundColour('WHITE')
        hbox = wx.BoxSizer(wx.HORIZONTAL)

        st = wx.StaticText(header, -1, 'Help', (5, 5))
        font = st.GetFont()
        font.SetPointSize(9)
        st.SetFont(font)
        hbox.Add(st, 1, wx.TOP | wx.BOTTOM | wx.LEFT, 5)

        close = wx.BitmapButton(header, -1, wx.Bitmap('img/quit.png', wx.BITMAP_TYPE_PNG), 
  style=wx.NO_BORDER)
        close.SetBackgroundColour('#6f6a59')
        hbox.Add(close, 0)
        header.SetSizer(hbox)

        vbox2.Add(header, 0, wx.EXPAND)

        help = html.HtmlWindow(self.panelRight, -1, style=wx.NO_BORDER)
        help.LoadPage('help.html')
        vbox2.Add(help, 1, wx.EXPAND)
        self.panelRight.SetSizer(vbox2)
        self.panelLeft.SetFocus()

        self.splitter.SplitVertically(self.panelLeft, self.panelRight)
        self.splitter.Unsplit()

        self.Bind(wx.EVT_BUTTON, self.CloseHelp, id=close.GetId())
        self.Bind(wx.EVT_TOOL, self.OnClose, id=1)
        self.Bind(wx.EVT_TOOL, self.OnHelp, id=2)

        self.Bind(wx.EVT_KEY_DOWN, self.OnKeyPressed)

        self.CreateStatusBar()

        self.Centre()
        self.Show(True)

    def OnClose(self, event):
        self.Close()

    def OnHelp(self, event):
        self.splitter.SplitVertically(self.panelLeft, self.panelRight)
        self.panelLeft.SetFocus()

    def CloseHelp(self, event):
        self.splitter.Unsplit()
        self.panelLeft.SetFocus()

    def OnKeyPressed(self, event):
        keycode = event.GetKeyCode()
        if keycode == wx.WXK_F1:
            self.splitter.SplitVertically(self.panelLeft, self.panelRight)
            self.panelLeft.SetFocus()


app = wx.App()
HelpWindow(None, -1, 'HelpWindow')
app.MainLoop()

help.html

Table of Contents


Basic statistics
Advanced statistics
Introducing Newt
Working with charts
Predicting values
Neural networks
Glossary




Basic Statistics

Overview of elementary concepts in statistics.
Variables. Correlation. Measurement scales. Statistical significance. 
Distributions. Normality assumption.





Advanced Statistics

Overview of advanced concepts in statistics. Anova. Linear regression. 
Estimation and  hypothesis testing.
Error terms.





Introducing Newt

Introducing the basic functionality of the Newt application. Creating sheets. 
Charts. Menus and Toolbars. Importing data. Saving data in various formats. 
Exporting data. Shortcuts. List of methods.





Charts

Working with charts. 2D charts. 3D charts. Bar, line, box, pie, range charts. 
Scatterplots. Histograms.





Predicting values

Time series and forecasting. Trend Analysis. Seasonality. Moving averages. 
Univariate methods. Multivariate methods. Holt-Winters smoothing. 
Exponential smoothing. ARIMA. Fourier analysis.





Neural networks

Overview of neural networks. Biology behind neural networks.
Basic artificial Model. Training. Preprocessing. Postprocessing. 
Types of neural networks.





Glossary

Terms and definitions in statistics.