Howard Sun <[email protected]>
> Sorry for the newbie question, how do you plot one x with multiple ys. In
> below data, x column is followed by 5 y columns: Many thanks!
> Howard
>
> 2 1.0000e+00 6.6232e-02 9.9392e-03 2.2992e-02 3.8111e-07
> 3 6.3664e-01 1.0269e-01 7.9107e-03 1.8254e-02 1.1391e-07
> 4 2.7590e-01 4.9783e-02 6.2644e-03 1.0943e-02 5.8480e-08
> 5 1.6550e-01 2.3269e-02 4.7482e-03 8.4312e-03 5.8239e-08
> 6 1.1590e-01 1.7234e-02 3.8567e-03 8.7010e-03 4.5506e-08
> 7 7.4337e-02 1.1662e-02 3.3756e-03 8.0889e-03 4.0900e-08
> 8 5.7775e-02 1.0917e-02 2.8980e-03 6.9654e-03 3.7520e-08
> 9 4.7310e-02 1.1869e-02 2.5929e-03 5.8326e-03 3.4745e-08
> 10 3.9591e-02 1.1301e-02 2.4691e-03 5.2749e-03 3.2126e-08
> 11 3.6517e-02 1.0755e-02 2.3121e-03 4.8631e-03 3.7942e-08
> 12 3.2872e-02 9.8306e-03 2.1692e-03 4.6281e-03 3.2358e-08
> 13 3.1235e-02 9.1704e-03 2.0419e-03 4.3928e-03 3.1479e-08
> 14 2.9528e-02 8.6926e-03 1.9364e-03 4.1360e-03 3.5639e-08
> 15 2.7895e-02 8.3080e-03 1.8475e-03 3.9015e-03 3.0486e-08
> 16 2.6440e-02 7.9610e-03 1.7776e-03 3.6790e-03 3.0307e-08
> 17 2.5259e-02 7.6345e-03 1.6984e-03 3.4743e-03 3.1805e-08
> 18 2.4064e-02 7.3267e-03 1.6341e-03 3.2848e-03 3.0188e-08
> 19 2.3171e-02 7.0284e-03 1.5821e-03 3.1098e-03 2.7565e-08
> 20 2.2317e-02 6.7322e-03 1.5247e-03 2.9475e-03 2.7009e-08
First, you take the data apart, like in:
import csv, numpy
# let's call your array "filecopy"
d = csv.Sniffer().sniff(filecopy[0])
for this_one_line in csv.reader(filecopy, d):
header = this_one_line
break
data = numpy.zeros((len(header), len(filecopy)))
for line in csv.reader(filecopy[1:], d):
for n in range(len(header)):
data[n][linecounter] = float(line[n])
linecounter += 1
And then, you plot it:
from matplotlib import pyplot
fig = pyplot.figure()
s = fig.add_subplot(1, 1, 1)
for c in data:
s.plot(data[0], c)
pyplot.show()
Obviously, that's all taken from another script and won't work "as is" and
there might be functions which would make some of this easier.
The main reason for posting this is being that bad that someone couldn't take
the pain and post something better - and me learning in the process.
Sincerely,
Malte
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