python读取raw binary图片并提取统计信息的实例_Python

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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原文链接：https://blog.csdn.net/oldveteran/article/details/52041119

python读取raw binary图片并提取统计信息的实例

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