Pipe numpy data in Linux?

Is it possible to pipe numpy data (from one python script ) into the other?

suppose that script1.py looks like this:

x = np.zeros(3, dtype={'names':['col1', 'col2'], 'formats':['i4','f4']})

print x

Suppose that from the linux command, I run the following:

python script1.py | script2.py

Will script2.py get th开发者_运维问答e piped numpy data as an input (stdin)? will the data still be in the same format of numpy? (so that I can, for example, perform numpy operations on it from within script2.py)?

Check out the save and load functions. I don't think they would object to being passed a pipe instead of a file.

No, data is passed through a pipe as text. You'll need to serialize the data in script1.py before writing, and deserialize it in script2.py after reading.

See this question.

If you're willing to use the subprocess module, you can share memory between processes to pass numpy arrays rapidly. If not, I've found saving to a file beats the pants off of piping, probably because converting the array to a string is so slow.