BIGGLES 1.6.6

reference guide : overview

[ overview : containers : components : style : config : functions ]

overview

Biggles provides a set of objects useful in the creation of scientific plots. Since the goal is complete customization, plots are created by composing sets of simple objects.

If you're new to Biggles, I suggest taking a look at the examples first.

Biggles objects break into two categories: containers and components. Containers are things like plots and tables, and can be turned into graphical output. Components can't be visualized on their own, but only when added to containers. Containers can contain other containers.

Containers	Components
FramedArray FramedPlot HammerAitoffPlot Plot Table Functions read_column read_matrix read_rows	Circle(s) Contour(s) Curve DataBox DataInset DataLabel/Label DataLine/Line Ellipse(s) ErrorBarsX ErrorBarsY FillAbove FillBelow FillBetween	Geodesic Histogram LineX LineY PlotBox PlotInset/Inset PlotKey PlotLabel PlotLine Point(s) Slope SymmetricErrorBarsX SymmetricErrorBarsY

TeX emulation

Biggles includes a simple TeX emulator which recognizes subscripts, superscripts, and many of the math symbol definitions from Appendix F of The TeXbook. All text strings passed to Biggles are interpreted as TeX.

A few notes and extensions:

• You need to enclose math-mode material in '$', i.e. "$\alpha$" not "\alpha".
  
  
• Normally, Python strings are interpreted as C strings. For example,

  "\nu" <==> [newline] + [character u]

  One way around this is to use Python's raw string notation by prepending an "r" to the string (i.e., r"\nu"). Or you could say "\\nu".
  
  
• for a degree symbol (°), use "\degree" instead of "^\circ".

    [ home ] [ last modified Nov 05 2001 ]