python读取raw binary图片并提取统计信息的实例

Python  /  管理员 发布于 7年前   420

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 structimport mathimport numpyimport scipy.stats filename = input('enter file name')f = open(filename, 'rb')f.seek(0, 0) c = 0numOfZero = 0s = 0num = []m = 0 while True:  temp = f.read(4)  if len(temp) == 0:    break  else:    c = c + 1print(c)print(numOfZero) sum = 0squSum = 0min = 2000max = 0list = []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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