Matplotlib以小时为单位统计文件数据

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Matplotlib 统计数据

统计文件中以小时hour为单位的数据数量

1.文件

文件内容如下：

2015-10-27 09:11:222015-10-27 00:11:222015-10-27 15:11:222015-10-27 02:11:222015-10-27 19:11:222015-10-27 04:11:222015-10-27 05:11:222015-10-27 06:11:222015-10-27 07:11:222015-10-27 09:11:222015-10-27 01:11:222015-10-27 01:11:222015-10-27 01:11:222015-10-27 08:11:222015-10-27 23:10:222015-10-27 23:10:222015-10-27 10:11:222015-10-27 06:11:222015-10-27 00:11:222015-10-27 23:11:222015-10-27 00:11:222015-10-27 11:11:222015-10-27 11:11:222015-10-27 12:11:222015-10-27 22:11:222015-10-27 16:11:222015-10-27 14:11:222015-10-27 13:11:222015-10-27 16:11:222015-10-27 23:11:222015-10-27 16:11:222015-10-27 17:11:222015-10-27 18:11:222015-10-27 16:11:222015-10-27 17:11:222015-10-27 18:11:222015-10-27 00:11:222015-10-27 11:11:222015-10-27 12:11:222015-10-27 22:11:222015-10-27 16:11:222015-10-27 14:11:222015-10-27 13:11:222015-10-27 16:11:222015-10-27 17:11:222015-10-27 18:11:222015-10-27 03:11:222015-10-27 20:11:222015-10-27 21:11:222015-10-27 01:11:22

2.python程序

程序如下：

#-*- coding:utf-8 -*-__author__ = 'guangliang'import sysimport matplotlib.pyplot as pltfrom matplotlib.ticker import MultipleLocatordef readFileToMat(filename):    f=open(filename,'r')    matDic={        "00":0,        "01":0,        "02":0,        "03":0,        "04":0,        "05":0,        "06":0,        "07":0,        "08":0,        "09":0,        "10":0,        "11":0,        "12":0,        "13":0,        "14":0,        "15":0,        "16":0,        "17":0,        "18":0,        "19":0,        "20":0,        "21":0,        "22":0,        "23":0    }    hour_arr=[]    num_arr=[]    for line in f.readlines():        hour=line.strip().split(" ")[1].split(":")[0];        if hour in matDic.keys():            matDic[hour]+=1    for key in sorted(matDic.keys()):        hour_arr.append(int(key))        num_arr.append(int(matDic[key]))    return hour_arr,num_arrdef drawPlot(xData,yData):    fig = plt.figure()    ax=fig.add_subplot(111)    #柱状图    ax.bar(xData,yData,facecolor='#9999ff', edgecolor='white', align='center')    #显示数字    for x,y in zip(xData,yData):        ax.text(x, y, y, ha='center', va= 'bottom')    xmajorLocator   = MultipleLocator(1) #将x主刻度标签设置为1的倍数    ax.xaxis.set_major_locator(xmajorLocator)    #设置边界    xmin, xmax = min(xData),max(xData)    ymin, ymax = min(yData),max(yData)    dx=(xmax - xmin) * 0.04    dy=(ymax - ymin) * 0.1    plt.xlim(xmin-dx, xmax+dx)    plt.ylim(ymin-dy, ymax+dy)    #设置坐标轴信息    plt.xtext=plt.xlabel(u'time hour')    plt.ytext=plt.ylabel(u'num')    #出现网格    plt.grid(True)    plt.show()def main(filename):    hour_arr,num_arr = readFileToMat(filename)    drawPlot(hour_arr,num_arr)if __name__ == '__main__':    if(len(sys.argv)!=2):        print "Usage:"        print " python didiTimeBar.py filepath/filename"        print "\nFormat:"        print "file content should be like 0000-00-00 00:00:00"        print "for example:"        print " 2015-10-27 06:18:22"        print " 2015-10-27 07:00:27"        print " 2015-10-27 08:11:45"        print " 2015-10-27 09:01:22"        print " 2015-10-27 23:10:02"        print " 2015-10-27 22:51:17"    else:        main(sys.argv[1])

3.结果

执行结果显示如下图

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