The sciscipy
python package seems to provide interface to Scilab features inside Python.
An example for you to assess if this is what you want:
from scilab import Scilab
sci = Scilab()
x = sci.rand(20, 20)
y = x*x.transpose()
y_inv = sci.inv(y)
Вопрос
I know that I can plot my python-generated data by matplotlib
. The reason why I want to plot my data using Scilab is keeping plotted figure the same style. Because I already have plotted many figures using Scilab.
Should I use subprocess.Popen
to run a scilab script? Is there a better way than this.
Решение
The sciscipy
python package seems to provide interface to Scilab features inside Python.
An example for you to assess if this is what you want:
from scilab import Scilab
sci = Scilab()
x = sci.rand(20, 20)
y = x*x.transpose()
y_inv = sci.inv(y)
Другие советы
You can make your python script interact with your scilab plotting script through sockets. Here's how you send data from python:
import socket
import sys
host = socket.gethostname()
port = 59981
try:
soc = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
soc.bind((host, port))
except socket.error:
print "Unable to setup"
soc.listen(5)
while True:
conn, addr = soc.accept()
conn.send("data")
conn.close()