def setup_class(cls):
cls.ip = get_ipython()
cls.ip.run_cell('import random')
cls.ip.run_cell('import numpy as np')
if 'USE_OCTAVE' in os.environ:
matlab = 'octave'
else:
matlab = 'matlab'
pymat.load_ipython_extension(cls.ip, matlab=matlab)
def setup_class(cls):
cls.ip = get_ipython()
cls.ip.run_cell('import random')
cls.ip.run_cell('import numpy as np')
if 'USE_OCTAVE' in os.environ:
matlab = 'octave'
else:
matlab = 'matlab'
pymat.load_ipython_extension(cls.ip, matlab=matlab)
def setup_class(cls):
cls.ip = get_ipython()
cls.ip.run_cell('import random')
cls.ip.run_cell('import numpy as np')
if 'USE_OCTAVE' in os.environ:
matlab = 'octave'
else:
matlab = 'matlab'
# We will test the passing of kwargs through to the Matlab or Octave
# objects, by assigning the socket address out here:
socket_addr = "tcp://127.0.0.1" if sys.platform == "win32" else "ipc:///tmp/pymatbridge-%s"%str(uuid4())
pymat.load_ipython_extension(cls.ip, matlab=matlab,
socket_addr=socket_addr)
def setup_class(cls):
cls.ip = get_ipython()
cls.ip.run_cell('import random')
cls.ip.run_cell('import numpy as np')
if 'USE_OCTAVE' in os.environ:
matlab = 'octave'
else:
matlab = 'matlab'
# We will test the passing of kwargs through to the Matlab or Octave
# objects, by assigning the socket address out here:
socket_addr = "tcp://127.0.0.1" if sys.platform == "win32" else "ipc:///tmp/pymatbridge-%s" % str(
uuid4())
pymat.load_ipython_extension(cls.ip,
matlab=matlab,
socket_addr=socket_addr)
def setup_class(cls):
cls.ip = IPython.InteractiveShell()
cls.ip.run_cell('import random')
cls.ip.run_cell('import numpy as np')
pymat.load_ipython_extension(cls.ip)
def setup_class(cls):
cls.ip = IPython.InteractiveShell()
cls.ip.run_cell('import random')
cls.ip.run_cell('import numpy as np')
pymat.load_ipython_extension(cls.ip)
# coding: utf-8
# ## Matlab vs. Python
#
# This notebook uses the python matlab bridge to do some side by side examples for python and matlab
# In[4]:
import pymatbridge as pymat
# In[5]:
ip = get_ipython()
pymat.load_ipython_extension(ip)
# ### Try a plot in matlab
# In[6]:
get_ipython().run_cell_magic('matlab', '--size 400,350', "t = linspace(0,6*pi,100);\nplot(sin(t))\ngrid on\nhold on\nplot(cos(t), 'r')")
# In[7]:
get_ipython().magic('matplotlib inline')
from matplotlib import pyplot as plt
plt.style.use('ggplot')
#plt.style.use('dark_background')
# -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <codecell>
import pymatbridge as pymat
# <codecell>
ip = get_ipython()
pymat.load_ipython_extension(ip, matlab='matlabr2010b')
# <codecell>
subject = 'FP'
if subject == 'HT':
dt6 = '/biac2/wandell2/data/diffusion/takemura/20120725_3030/150dirs_b2000_2iso_2/dt6.mat'
elif subject == 'FP':
dt6 = '/biac2/wandell2/data/diffusion/pestilli/20110922_1125/150dirs_b2000_2/dt6.mat'
# <codecell>
%%matlab -o cc_coords -i dt6
dt6 = dtiLoadDt6(dt6);
cc_coords = dtiFindCallosum(dt6.dt6, dt6.b0, dt6.xformToAcpc);
# <codecell>
cc_coords_mat = cc_coords.read() - 1 # Transform to 0-based indexing
cc_coords_mat.shape
%%prun # prun runs Python's profiler on the current cell N = 1e5 scipy.signal.fftconvolve(np.random.rand(N), np.random.rand(N)) # <codecell> # Not a magic, but IPython also allows for running shell commands !ls -lh # <codecell> # The Python-Matlab bridge can be used as a magic import pymatbridge as pymat ip = get_ipython() pymat.load_ipython_extension(ip) # <codecell> # Python variable - a filter cutoff Wn = .2 # <codecell> %%matlab -i Wn -o b b = fir1(30, Wn); # <codecell> import scipy.signal w, h = scipy.signal.freqz(b);
