python numpy实现多次循环读取文件 等间隔过滤数据示例

import numpy as np

length=2500
plt_arr=np.linspace(0.0, 0.0, length*2048*16)
start=0
tail_size = 40  #40bit
num_size=16*1024-40 # 16kb -40b


def one_file(f, loop):
  global tail_size, num_size
  while loop:
    num = np.fromfile(f, dtype=np.int16, count=num_size)
    tail=np.fromfile(f, dtype=np.int16, count=tail_size)
    loop=loop-1
    yield num, tail

def main():
  file_path="E://1-gl300c.r3f"
  global length, plt_arr, start
  loop=length
  with open(file_path, 'rb') as f:
    for num, tail in one_file(f, loop):
      plt_arr[start:start+len(num)]=num[:]
      start=start+len(num)
  return   plt_arr[0:start]

if __name__ == "__main__":
  donser=main()
  print(donser)

def read_in_chunks(filePath, chunk_size=16*1024):
  file_object = open(filePath,'rb')
  count=0
  while True:
    chunk_data = file_object.read(chunk_size)
    if not chunk_data:
      break
    yield chunk_data[0:16*1024-28]


if __name__ == "__main__":
  num=0
  for chunk in read_in_chunks("E:\\1-gl300c.r3f"):
    #process(chunk) # <do something with chunk>
    name=str(num)+".bin"
    num=num+1
    if num<303000:
      continue
    if num>308001:
      break
    file_object = open(name, 'wb')
    file_object.write(chunk)
    file_object.close( )

import get_details
import time

second=2*60
print second
while True:
get_details.sign_cycle()
time.sleep(second)