00:00:25   309.0     1.5
00:00:55   209.0     2.7
00:01:25   115.0     3.5
00:01:55    39.0     1.2
00:02:25    56.0     3.5
00:02:55   108.0     1.9
00:03:25   270.0     4.5

year='2009'
month='01'
day='30'

name = 'C:/G%s/M%s/D%s/WIND1.dat'%(year, month, day)
fp = open (name)
fp.readline()
fname = str(fp)
print fname

t=fname.split('/')[1:-1]
#print t
tt=str(t)
g=tt[3:7]
m=tt[12:14]
d=tt[19:21]
day=g+'_'+m+'_'+d
print day

# -*- coding: UTF-8 -*- numpy as np, sys
import MySQLdb
import numpy as np
from windrose import WindroseAxes
from matplotlib import pyplot as plt
import matplotlib.cm as cm
from numpy.random import random
from numpy import arange

c = MySQLdb.connect(host='localhost', user='root', passwd='12345', db='probnaya')
cu=c.cursor()
year='2009'
month='01'
day='30'

name = 'C:/G%s/M%s/D%s/WIND1.dat'%(year, month, day)
fp = open (name)
fp.readline()
fname = str(fp)
print fname

t=fname.split('/')[1:-1]
tt=str(t)
g=tt[3:7]
m=tt[12:14]
d=tt[19:21]
day=g+'_'+m+'_'+d
print day

def Create_table(cu):
    try:
        cu.execute("""
        CREATE TABLE IF NOT EXISTS Wind(
        date_time VARCHAR(25),
        course DECIMAL(6,2),
        speed DECIMAL(6,2),
        max_speed DECIMAL(6,2)
        );
        """)
    except :
        print 'Error: '

def Insert_table(fp):
    for stroka in fp:
        try:
            xx = stroka.split()
            d_time=day + ' ' + xx[0]
            course=float(xx[1])
            speed=float(xx[2])
            max_speed=float(xx[3])
            sql = "INSERT INTO Wind (date_time, course, speed, max_speed) \
VALUES ('%s', '%s', '%s', '%s')"%(d_time, course, speed, max_speed)
#            print sql
            cu.execute(sql)
            c.commit()
        except:
            print 'problem %s'%d_time
            print sys.exc_info()
#        else:
#            print 'ok %s'%d_time

Create_table(cu)
Insert_table(fp)

cu.execute("""SELECT course, speed, max_speed FROM Wind;""")
data = cu.fetchall()
napr=np.array([float(napr_skor[0]) for napr_skor in data])
skor=np.array([float(napr_skor[1]) for napr_skor in data])
max_skor=np.array([float(napr_skor[2]) for napr_skor in data])
#print napr
#print skor

"роза ветров"
def new_axes():
    fig = plt.figure(figsize=(6, 6), dpi=-55, facecolor='w', edgecolor='w')
    rect = [0.35, 0.35, 0.6, 0.6]
    ax = WindroseAxes(fig, rect, axisbg='w')
    fig.add_axes(ax)
    return ax

def set_legend(ax):
    l = ax.legend(axespad=0.7)
    plt.setp(l.get_texts(), fontsize=8)

ax = new_axes()
ax.contourf(napr, skor, bins=arange(0,8,1), normed=True)
set_legend(ax)
plt.savefig('nameBD.png', format='png')

fp.close()
c.close()

d_time=datetime.datetime(day, xx[0])