def sort_by_value(d):
    """ Returns the keys of dictionary d sorted by their values """
    items=d.items()
    backitems=[ [v[1],v[0]] for v in items]
    backitems.sort()
    return [ backitems[i][1] for i in range(0,len(backitems))]

SBV=sort_by_value

A=SBV(E)

B=sorted(E.values())

#!/usr/bin/python
from pychartdir import *

#The data for the bar chart
data = B

#The labels for the bar chart
labels = ["BMS","ST","FG","CV","LN","CMS","LC","BP","MEC","ABE","HH","IC","MCC","OE","SS","FCV","WR"]

#The colors for the bar chart
colors=[0x000099,0x003300,0x003300,0x003300,0x990000,0x000099,0x990000,0x003300,0x003300,0x003300,0x003300,0x003300,0x990000,0x003300,0x003300,0x000099,0x003300]

#Create a XYChart object of size 260 x 220 pixels. Use golden background color.
#Use a 2 pixel 3D border.
c = XYChart(780, 660, goldColor(), -1, 2)

#Add a title box using 10 point Arial Bold font. Set the background color to
#metallic blue (9999FF) Use a 1 pixel 3D border.
c.addTitle("Educational Adequacy", "arialbd.ttf", 10).setBackground(metalColor(
    0x9999ff), -1, 1)

#Set the plotarea at (40, 40) and of 200 x 150 pixels in size
c.setPlotArea(120, 120, 600, 450)

#Add a multi-color bar chart layer using the given data and colors. Use a 1
#pixel 3D border for the bars.

#Set the labels on the x axis.
c.xAxis().setLabels(labels)

layer = c.addBarLayer(data, c.gradientColor(120, 0, 717, 0, 0xff0000, 0x0000ff))

#Set the bar gap to 10%
layer.setBarGap(0.1)

#Use the format " xxx " as the bar label
layer.setAggregateLabelFormat("{value}")

#Set the bar label font to 10 pts Times Bold Italic/dark red (0x663300)
layer.setAggregateLabelStyle("timesbi.ttf", 10, 0x663300)

#output the chart
c.makeChart("Ecompare.jpg")

E = [1.1111111111, 2.222222222, 3.33333333, 100.5555555, -341.99]
E = [round(i, 1) for i in E]
for num in E:
    print num

1.1
2.2
3.3
100.6
-342.0