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From: Armando Serrano Lombillo <arserlom@gm...>  20110921 19:01:06
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Hello I have a dat set like this one a=[[x1, y1, cat1], [x2, y2, cat1], ..., [x8, y8, cat1], [x9, y9, cat2], ..., [x34, y34, cat2], [x35, y35, cat3],...] and I don't know beforehand how many diffferent categories there will be or how long they will be. I would like to make a plot like this: ax.plot(a[0:i1, 0], a[0:i1, 1], label=cat1) ax.plot(a[i1:i2, 0], a[i1:i2, 1], label=cat2) ax.plot(a[i2:i3, 0], a[i2:i3, 1], label=cat3) ... where i1, i2... are the indices where the data set changes fomt cat1 to cat2, cat2 to cat3... Does anybody see an easy way of coding this? Thanks, Armando. 
From: Benjamin Root <ben.root@ou...>  20110921 19:28:53
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On Wed, Sep 21, 2011 at 2:00 PM, Armando Serrano Lombillo < arserlom@...> wrote: > Hello I have a dat set like this one > a=[[x1, y1, cat1], [x2, y2, cat1], ..., [x8, y8, cat1], [x9, y9, cat2], > ..., [x34, y34, cat2], [x35, y35, cat3],...] > and I don't know beforehand how many diffferent categories there will be or > how long they will be. > > I would like to make a plot like this: > ax.plot(a[0:i1, 0], a[0:i1, 1], label=cat1) > ax.plot(a[i1:i2, 0], a[i1:i2, 1], label=cat2) > ax.plot(a[i2:i3, 0], a[i2:i3, 1], label=cat3) > ... > > where i1, i2... are the indices where the data set changes fomt cat1 to > cat2, cat2 to cat3... > > Does anybody see an easy way of coding this? > > Thanks, > Armando. > Maybe something like this? (Warning: untested!) from collections import OrderedDict b = OrderedDict() for index, coords in enumerate(a) : b[coords[2]] = index + 1 a = np.array([[c[0], c[1]] for c in a]) prevIndex = 0 for cat, curIndex in b.iteritems() : ax.plot(a[prevIndex:curIndex, 0], a[prevIndex:curIndex, 1], label=cat) prevIndex = curIndex The ordered dictionary may or may not be available in whatever version of python you use, but it guarantees the order. I hope that helps! Ben Root 
From: Armando Serrano Lombillo <arserlom@gm...>  20110922 12:11:46
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On Wed, Sep 21, 2011 at 9:28 PM, Benjamin Root <ben.root@...> wrote: > On Wed, Sep 21, 2011 at 2:00 PM, Armando Serrano Lombillo < > arserlom@...> wrote: > >> Hello I have a dat set like this one >> a=[[x1, y1, cat1], [x2, y2, cat1], ..., [x8, y8, cat1], [x9, y9, cat2], >> ..., [x34, y34, cat2], [x35, y35, cat3],...] >> and I don't know beforehand how many diffferent categories there will be >> or how long they will be. >> >> I would like to make a plot like this: >> ax.plot(a[0:i1, 0], a[0:i1, 1], label=cat1) >> ax.plot(a[i1:i2, 0], a[i1:i2, 1], label=cat2) >> ax.plot(a[i2:i3, 0], a[i2:i3, 1], label=cat3) >> ... >> >> where i1, i2... are the indices where the data set changes fomt cat1 to >> cat2, cat2 to cat3... >> >> Does anybody see an easy way of coding this? >> >> Thanks, >> Armando. >> > > Maybe something like this? (Warning: untested!) > > from collections import OrderedDict > b = OrderedDict() > for index, coords in enumerate(a) : > b[coords[2]] = index + 1 > > a = np.array([[c[0], c[1]] for c in a]) > > prevIndex = 0 > for cat, curIndex in b.iteritems() : > ax.plot(a[prevIndex:curIndex, 0], a[prevIndex:curIndex, 1], label=cat) > prevIndex = curIndex > > The ordered dictionary may or may not be available in whatever version of > python you use, but it guarantees the order. > > I hope that helps! > Ben Root > > Ok, thanks Ben, I was thinking that maybe with some numpy array manipulation there might have been a straightforward way I wasn't seeing. Armando. 
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