File: b.py

package info (click to toggle)
cloc 2.06-1
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 8,064 kB
  • sloc: perl: 30,146; cpp: 1,219; python: 623; ansic: 334; asm: 267; makefile: 244; sh: 186; sql: 144; java: 136; ruby: 111; cs: 104; pascal: 52; lisp: 50; haskell: 35; f90: 35; cobol: 35; objc: 25; php: 22; javascript: 15; fortran: 9; ml: 8; xml: 7; tcl: 2
file content (21 lines) | stat: -rw-r--r-- 550 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
#!/usr/bin/env python
import numpy.numarray as na

from pylab import *

labels = ["Baseline", "System"]
data =   [3.75               , 4.75]
error =  [0.3497             , 0.3108]

xlocations = na.array(range(len(data)))+0.5
width = 0.5
# bar chart with hollow bars:
bar(xlocations, data, yerr=error, width=width, edgecolor='k', facecolor='none')
yticks(range(0, 8))
xticks(xlocations+ width/2, labels)
xlim(0, xlocations[-1]+width*2)
title("Average Ratings on the Training Set")
gca().get_xaxis().tick_bottom()
gca().get_yaxis().tick_left()

show()