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    python读取raw binary图片并提取统计信息的实例

    栏目:Linux/apache问题 时间:2020-01-14 20:27

    用python语言读取二进制图片文件,并提取非零数据统计信息(例如:max,min,skewness and kurtosis)

    python新手,注释较少,欢迎指教

    import struct
    import math
    import numpy
    import scipy.stats
     
    filename = input('enter file name')
    f = open(filename, 'rb')
    f.seek(0, 0)
     
    c = 0
    numOfZero = 0
    s = 0
    num = []
    m = 0
     
    while True:
      temp = f.read(4)
      if len(temp) == 0:
        break
      else:
        c = c + 1
    print(c)
    print(numOfZero)
     
    sum = 0
    squSum = 0
    min = 2000
    max = 0
    list = []
    num = []
    f.seek(0, 0)
     
    for i in range(0, c):
      a = f.read(4)
      b = struct.unpack('<f', a)
      list.append(b[0])
      if list[i] == 0:
        numOfZero = numOfZero + 1
      else:
        num.append(b[0])
      if list[i] > max:
        max = list[i]
      if list[i] < min and list[i] != 0:
        min = list[i]
      sum = sum + list[i]
     
    stan_Dev = numpy.std(num)
    median = numpy.median(num)
    sk = scipy.stats.skew(num)
    ku = scipy.stats.kurtosis(num)
     
    print('numOfZero = ', numOfZero)
    print('sum = ', sum)
    print('meanValue = ',sum / (c - numOfZero))
    print('maxValue = ', max)
    print('minValue = ', min)
    print('median = ', median)
    print('stdev = ', stan_Dev)
    print('skewness = ', sk)
    print('kurtosis = ', ku)
     
    f.close()
    

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