I am finding that passing data from KNIME noes into the "Python script (1=>1)" is very slow and scales very poorly above 100,000's of rows.
There are at least two previous reports of same issue that have some history to older versions:
Anaconda Python 2.7
Create data with "Python Source" node and code:
from pandas import DataFrame
import numpy as np
output_table = DataFrame(np.ones((100000,3)))
Pass into a default "Python scipt (1=>1) - run time =20s
Pass into defgault community "python snippet" - run time = 2s
The KNIME python nodes scale very poorly with data size, I suspect a data frame is being grown inefficiently via a series of cancatenations.
Any ideas? Really want this resolved.