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from pylab import plotfile, show, gca
import matplotlib.cbook as cbook
fname = cbook.get_sample_data('msft.csv', asfileobj=False)
fname2 = cbook.get_sample_data('data_x_x2_x3.csv', asfileobj=False)
# test 1; use ints
plotfile(fname, (0,5,6))
# test 2; use names
plotfile(fname, ('date', 'volume', 'adj_close'))
# test 3; use semilogy for volume
plotfile(fname, ('date', 'volume', 'adj_close'), plotfuncs={'volume': 'semilogy'})
# test 4; use semilogy for volume
plotfile(fname, (0,5,6), plotfuncs={5:'semilogy'})
#test 5; single subplot
plotfile(fname, ('date', 'open', 'high', 'low', 'close'), subplots=False)
# test 6; labeling, if no names in csv-file
plotfile(fname2, cols=(0,1,2), delimiter=' ',
names=['$x$', '$f(x)=x^2$', '$f(x)=x^3$'])
# test 7; more than one file per figure--illustrated here with a single file
plotfile(fname2, cols=(0, 1), delimiter=' ')
plotfile(fname2, cols=(0, 2), newfig=False, delimiter=' ') # use current figure
gca().set_xlabel(r'$x$')
gca().set_ylabel(r'$f(x) = x^2, x^3$')
# test 8; use bar for volume
plotfile(fname, (0,5,6), plotfuncs={5:'bar'})
show()
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