import eztables
import plottables
table=eztables.eztable("draft1.arff")
print(table)
plot=plottables.scatter(table,{"xs":"lex_rich","ys":"semis_word_mean","c":"author"},{})
plot.show()
table.save("draft1.csv")
colormap=None
#if args.autocmap:
# if args.cval is None:
# print("Need color col for colormap.")
# exit(1)
# colormap={}
# ccol=t.findcol(args.cval)
# counter=0
# for x in t.data:
# if not x[ccol] in colormap:
# colormap[x[ccol]]=plt.namespacecolors[counter]
# counter=counter+1
splot=None
splot=plt.scatter(t,byrow,glob,cmap=colormap)
if args.xlim is not None:
splits=args.xlim.split(":")
splot.xlim(float(splits[0]),float(splits[1]))
if args.ylim is not None:
splits=args.ylim.split(":")
splot.ylim(float(splits[0]),float(splits[1]))
if args.zlim is not None:
splits=args.zlim.split(":")
splot.zlim(float(splits[0]),float(splits[1]))
if args.hlines is not None:
for x in args.hlines:
data=ast.literal_eval(x)
data=dict(data)