On 8/27/07, Matt Fago <[EMAIL PROTECTED]> wrote:
>
> I'm elated to have found matplotlib after struggling with octave and
> gnuplot.
>
> There is one thing that I think matplotlib could improve on (or that I
> cannot find)
> -- quick plotting a la gnuplot:
>
> plot "file.txt" using 1:2 with lp
>
> For matplotlib, perhaps something like the following:
>
> fplot("filename", cols=(1,5), delimiter=',', numheader=2)
>
I matplotlib svn (as of June) there is a plotfile function. From the
docstring:
Help on function plotfile in module matplotlib.pylab:
plotfile(fname, cols=(0,), plotfuncs=None, comments='#', skiprows=0,
checkrows=5, delimiter=',', **kwargs)
plot the data in fname
cols is a sequence of column identifiers to plot. An identifier
is either an int or a string. if it is an int, it indicates the
column number. If it is a string, it indicates the column header.
mpl will make column headers lower case, replace spaces with
strings, and remove all illegal characters; so 'Adj Close*' will
have name 'adj_close'
if len(cols)==1, only that column will be plotted on the y axis.
if len(cols)>1, the first element will be an identifier for data
for the x axis and the remaining elements will be the column
indexes for multiple subplots
plotfuncs, if not None, is a dictionary mapping identifier to an
Axes plotting function as a string. Default is 'plot', other
choices are 'semilogy', 'fill', 'bar', etc... You must use the
same type of identifier in the cols vector as you use in the
plotfuncs dictionary, eg integer column numbers in both or column
names in both.
comments, skiprows, checkrows, and delimiter are all passed on to
matplotlib.mlab.csv2rec to load the data into a record array
kwargs are passed on to plotting functions
Example usage:
# plot the 2nd and 4th column against the 1st in two subplots
plotfile(fname, (0,1,3))
# plot using column names; specify an alternate plot type for volume
plotfile(fname, ('date', 'volume', 'adj_close'), plotfuncs={'volume':
'semilogy'})
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