1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
|
import MySQLdb, subprocess
def percent(n, ntot):
return float(n)/ntot * 100
def gen_histo(cx, kind, datafile):
cu = cx.cursor()
cu.execute("""select %s, count(*) from books group by %s
order by %s;""" % (kind, kind, kind))
books_per_kind = cu.fetchall()
xtics = []; i = 0
f = file(datafile, "w")
for k, counts in books_per_kind:
print >> f, counts
xtics.append("%r %s" % (k, i))
i += 1
yield "set term png"
yield "set output '%s.png'" % datafile[:-4]
yield "set style fill solid"
yield "set style fill border 2"
yield "set xrange [-1:15]"
yield "set xtics (%s)" % ", ".join(xtics)
yield "plot %r with boxes" % datafile
def make_plot(cx, kind, datafile):
gnuplot = subprocess.Popen(["gnuplot"], stdin=subprocess.PIPE)
# for line in gen_histo(cx, kind, datafile): print line
gnuplot.communicate("\n".join(gen_histo(cx, kind, datafile)))
if __name__ == "__main__":
cx = MySQLdb.connect(db="books")
make_plot(cx, "nation", "nation.dat")
|
