The viewrendred3.py (VR3) plugin has a command to plot 2-dimensional data. It's probably not well-known and its help message doesn't work right now so one could only know how to use it from reading the source code. I'm working on fixing that. In the meantime, here's how it works. It's very simple yet rather sophisticated. The algorithm is as tolerant as possible to make it very easy to insert the data, annotate it, and format it for readability.
The minibuffer command is *vr3-plot-2d*. It will plot one or two-column data in a node using matplotlib. The simplest way to use it is to simply type or paste in some data: 1 1 2 4 3 9 # a comment about this point 4 16 The "basic" attached image shows this basic plot (it can be gussied up, as we will see later). The numbers are always interpreted as floating point. If there is only one column, VR3 supplies a first column, starting with 1. If there are two numbers on a line, they must be separated by whitespace (that is, any number of spaces and tabs). All lines that start with legal floating point numbers are used as data lines. All lines that don't are ignored. Trailing comments as illustrated above are ignored, and any non-number can start a comment. The data lines do not have to be in one contiguous block. So you can include any non-numerical text anywhere you want and it will be ignored. Here's an example: 1 1 2 4 The following point is questionable: 3 9 4 16 This is the basic capability, and there are options to enhance it. Each option is in a block headed by a section name in brackets, like this: [source] file = temp\testdata.txt The option names are *source*, *style*, and *labels*. The option blocks can appear anywhere in the body. The *source* block tells VR3 to use data from the named file instead of the node's body. Relative file names are relative the the user's .leo directory. The *style* option lets you style the graph with a named matplotlib style, like "ggplot": [style] stylename = ggplot The "example-styled" attached image shows a styled graph. This plot has some labels, and I will cover them below. One of the styles is "xkcd", which mimics the appearance of the hand-drawn charts that sometimes appear in xkcd comic strips. This is not strictly speaking a matplotlib style, but you can use its name as the *stylename* anyway. See the "example-xkcd" image for an example. It's also possible to specify a matplotlib style file in which you can specify and change all kinds of things, but that requires some knowledge of matplotlib's style system and that would be too much to include here. If you already have such a style file, you can specify it in the *style* block with the key *stylefile.* The *labels* section can contain any or all of the following keys in any order: [labels] title = Test Graph xaxis = The X axis yaxis = The Y Axis To sum up, VR3 gives you a command to plot typical 2-D data as easily and robustly as possible. Please feel free to explore it. -- You received this message because you are subscribed to the Google Groups "leo-editor" group. To unsubscribe from this group and stop receiving emails from it, send an email to leo-editor+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/leo-editor/ffc49239-18c8-4dfd-8552-6f31c50f1dden%40googlegroups.com.
