我的python3
程序以下列格式从其他地方接收数据作为字符串(...
表示我需要输入更多数据):
data = "0,12,145,234;1,0,0,128;2,255,255,255;...;909,100,100,100;"
我想将此转换为压缩二进制数据,而忽略,
和;
个字符。目前,我正在做以下事情:
splitData = data.split(';')[:-1] # ignore the last ';'
buff = []
for item in splitData:
addr, R, G, B = item.split(',')
addr = int(addr) # two bytes
R = int(R) # one byte
G = int(G) # one byte
B = int(B) # one byte
packed = struct.pack('HBBB', addr, R, G, B)
buff.append(packed)
dataBytes = b''.join(buff)
对于上面的示例数据,此过程为我提供了以下内容:
dataBytes = b'\x00\x00\x0c\x91\xea\x01\x00\x00\x00\x80...\x8d\x03ddd'
这就是我想要的(大约是原始字符串大小的三分之一)。
但是,此过程大约需要0.002
秒。我需要每帧执行33次此过程,这导致计算大约0.05
秒,达到每秒约20帧。如果可能的话,我想加快速度。
有没有办法将字符串数据转换为比上述方法更快的字节数据?
答案 0 :(得分:2)
使用itertools,进行替换然后拆分,映射到int,最后用四肢拉伸速度提高约25%:
In [82]: data = "0,12,145,234;1,0,0,128;2,255,255,255;909,100,100,100;" * 1000
In [83]: from itertools import imap, izip
[84]: %%timeit
splitData = data.split(';')[:-1] # ignore the last ';'
buff = []
for item in splitData:
addr, R, G, B = item.split(',')
addr = int(addr) # two bytes
R = int(R) # one byte
G = int(G) # one byte
B = int(B) # one byte
packed = struct.pack('HBBB', addr, R, G, B)
buff.append(packed)
dataBytes = b''.join(buff)
....:
100 loops, best of 3: 8.61 ms per loop
In [85]: %%timeit
mapped = imap(int, data[:-1].replace(";", ",").split(","))
b"".join([struct.pack('HBBB', *sub) for sub in izip(mapped, mapped, mapped, mapped)])
....:
100 loops, best of 3: 6.27 ms per loop
使用python3,只需使用map和zip:
In [4]: %%timeit
mapped = map(int, data[:-1].replace(";", ",").split(","))
b"".join([struct.pack('HBBB', *sub) for sub in zip(mapped, mapped, mapped, mapped)])
...:
100 loops, best of 3: 3.61 ms per loop
In [5]: %%timeit
splitData = data.split(';')[:-1] # ignore the last ';'
buff = [] for item in splitData:
addr, R, G, B = item.split(',')
addr = int(addr) # two bytes
R = int(R) # one byte
G = int(G) # one byte
B = int(B) # one byte
packed = struct.pack('HBBB', addr, R, G, B)
buff.append(packed)
dataBytes = b''.join(buff)
...:
100 loops, best of 3: 4.89 ms per loop