Data ( *set,  *keyw )

Create and return a _FileItem representing the data from *set.

Create a _FileItem object (which is a type of PlotItem) out of one or more Float Python Numeric arrays (or objects that can be converted to a Float Numeric array). If the routine is passed a single with multiple dimensions, then the last index ranges over the values comprising a single data point (e.g., [<x>, <y>, <sigma>]) and the rest of the indices select the data point. If passed a single array with 1 dimension, then each point is considered to have only one value (i.e., by default the values will be plotted against their indices). If the routine is passed more than one array, they must have identical shapes, and then each data point is composed of one point from each array. E.g., Data(x,x**2) is a PlotItem that represents x squared as a function of x. For the output format, see the comments for write_array().

How the data are written to gnuplot depends on the inline argument and preference settings for the platform in use.

Keyword arguments:

cols=<tuple>

write only the specified columns from each data point to the file. Since cols is used by python, the columns should be numbered in the python style (starting from 0), not the gnuplot style (starting from 1).

inline=<bool>

transmit the data to gnuplot inline rather than through a temporary file. The default is the value of gp.GnuplotOpts.prefer_inline_data.

The keyword arguments recognized by _FileItem can also be used here.

File ( filename,  **keyw )

Construct a _FileItem object referring to an existing file.

This is a convenience function that just returns a _FileItem that wraps the filename.

<filename> is a string holding the filename of an existing file. The keyword arguments are the same as those of the _FileItem constructor.

GridData (
        data,
        xvals=None,
        yvals=None,
        inline=_unset,
        **keyw,
        )

Return a _FileItem representing a function of two variables.

GridData represents a function that has been tabulated on a rectangular grid. The data are written to a file; no copy is kept in memory.

Arguments:

data

the data to plot: a 2-d array with dimensions (numx,numy).

xvals

a 1-d array with dimension numx

yvals

a 1-d array with dimension numy

binary=<bool>

send data to gnuplot in binary format?

inline=<bool>

send data to gnuplot "inline"?

Note the unusual argument order! The data are specified before the x and y values. (This inconsistency was probably a mistake; after all, the default xvals and yvals are not very useful.)

data must be a data array holding the values of a function f(x,y) tabulated on a grid of points, such that 'data[i,j] == f(xvals[i], yvals[j])'. If xvals and/or yvals are omitted, integers (starting with 0) are used for that coordinate. The data are written to a temporary file; no copy of the data is kept in memory.

If binary=0 then the data are written to a datafile as x y f(x,y) triplets (y changes most rapidly) that can be used by gnuplot's splot command. Blank lines are included each time the value of x changes so that gnuplot knows to plot a surface through the data.

If binary=1 then the data are written to a file in a binary format that splot can understand. Binary format is faster and usually saves disk space but is not human-readable. If your version of gnuplot doesn't support binary format (it is a recently-added feature), this behavior can be disabled by setting the configuration variable gp.GnuplotOpts.recognizes_binary_splot=0 in the appropriate gp*.py file.

Thus if you have three arrays in the above format and a Gnuplot instance called g, you can plot your data by typing g.splot(Gnuplot.GridData(data,xvals,yvals)).