import numpy as np

import rpy2.robjects.numpy2ri
from rpy2.robjects.packages import importr
rpy2.robjects.numpy2ri.activate()

# Set up our R namespaces
R = rpy2.robjects.r
DTW = importr('dtw')

# Generate our data
idx = np.linspace(0, 2*np.pi, 100)
template = np.cos(idx)
query = np.sin(idx) + np.array(R.runif(100))/10

# Calculate the alignment vector and corresponding distance
alignment = R.dtw(query, template, keep=True,window_type='sakoechiba',
                     window_size=5)

>>> RRuntimeError: Error in window.function(row(wm), col(wm), query.size= n, reference.size = m,  :
 argument "window.size" is missing, with no default

from rpy2.robjects.functions import SignatureTranslatedFunction

Rsession.dtw = SignatureTranslatedFunction(Rsession.dtw,
                        init_prm_translate={'window_size': 'window.size'})

import numpy as np

import rpy2.robjects.numpy2ri
from rpy2.robjects.packages import importr
from rpy2.robjects.functions import SignatureTranslatedFunction
rpy2.robjects.numpy2ri.activate()

# Set up our R namespaces
R = rpy2.robjects.r
DTW = importr('dtw')
Rsession.dtw = SignatureTranslatedFunction(Rsession.dtw,init_prm_translate={'window_size': 'window.size'})

# Generate our data
idx = np.linspace(0, 2*np.pi, 100)
template = np.cos(idx)
query = np.sin(idx) + np.array(R.runif(100))/10

# Calculate the alignment vector and corresponding distance
alignment = R.dtw(query, template, keep=True,window_type='sakoechiba',
                     window_size=10)
dist = alignment.rx('distance')[0][0]

print(dist)
>>> 117.348292359