OK, I've attached my sanitized example
Benjamin Root wrote:
> On Tue, Sep 11, 2012 at 9:29 AM, Neal Becker
> <ndbeck...@gmail.com> wrote:
>
>> I tried a scatterplot with legend(loc='best'), but the legend
>> appears on the upper right, covering a data point. There is nothing
>> anywhere
>> in the graph on the upper left, which is where 'best' should go.
>>
>>
> A small, self-contained example would be most useful. The logic for 'best'
> isn't the greatest, but it should work in most cases. If you could provide
> an example of where this blatantly breaks, it might uncover a bug.
>
> Cheers!
> Ben Root
import numpy as np
import matplotlib.pyplot as plt
data_csv = '''\
mod,rate,esno
Z,2/3,3.09
Z,3/4,4.12
Z,4/5,4.75
Z,5/6,5.2
Z,8/9,6.21
Z,9/10,6.46
W,3/5,5.78
W,2/3,6.81
W,3/4,7.97
W,4/5,8.92
W,5/6,9.55
W,8/9,10.72
W,9/10,11
'''
from StringIO import StringIO
from pandas import read_csv
u = read_csv (StringIO (data_csv))
from fractions import Fraction
bit_per_sym = u.mod.map ({'Z' : 2, 'W' : 3})
bps_per_hz = bit_per_sym * u.rate.map (lambda s: float(Fraction(s))) / 1.05
u['X'] = bps_per_hz
V = u.esno - 10*np.log10(bit_per_sym*u.rate.map (lambda s: float(Fraction(s))))
u['V'] = V
stuff = u.groupby (['mod'])
import itertools
colors = itertools.cycle(['r','g','b','c','y','m','k'])
markers = itertools.cycle(['o','s','v'])
for case,res in stuff:
print 'case:', case
print 'res:', res
plt.scatter (res.V, res.X, color=colors.next(), marker=markers.next(), label=case)
for pts in zip (res.rate, res.V, res.X):
print pts
plt.annotate (pts[0], xy=(pts[1],pts[2]))
F_csv = '''\
mod,rate,F,V
Z,2/3,1.2375,2.0
Z,3/4,1.25,2.6
Z,8/9,1.24,4.0
W,2/3,1.3125,5
W,4/5,1.3125,6.4
'''
v = read_csv (StringIO (F_csv))
bit_per_sym = v.mod.map ({'Z' : 2, 'W' : 3})
bps_per_hz = bit_per_sym * v.F * v.rate.map (lambda s: float(Fraction(s))) / 1.05
v['X'] = bps_per_hz
stuff = v.groupby (['mod'])
for case,res in stuff:
print 'case:', case
print 'res:', res
plt.scatter (res.V, res.X, color=colors.next(), marker=markers.next(), label='F-'+case)
for pts in zip (res.rate, res.V, res.X, res.F):
print pts
plt.annotate ('%s,%s'%(pts[0],pts[3]), xy=(pts[1],pts[2]))
plt.grid()
plt.legend(loc='best')
plt.show()
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