I am trying to use a simple apply on s frame full of data. This is for a simple data transform on one of the columns applying a function that takes a text input and splits it into a list. Here is the function and its call/output:
In [1]: def count_words(txt):
count = Counter()
for word in txt.split():
count[word]+=1
return count
In [2]: products.apply(lambda x: count_words(x['review']))
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-8-85338326302c> in <module>()
----> 1 products.apply(lambda x: count_words(x['review']))
C:\Anaconda3\envs\dato-env\lib\site-packages\graphlab\data_structures\sframe.pyc in apply(self, fn, dtype, seed)
2607
2608 with cython_context():
-> 2609 return SArray(_proxy=self.__proxy__.transform(fn, dtype, seed))
2610
2611 def flat_map(self, column_names, fn, column_types='auto', seed=None):
C:\Anaconda3\envs\dato-env\lib\site-packages\graphlab\cython\context.pyc in __exit__(self, exc_type, exc_value, traceback)
47 if not self.show_cython_trace:
48 # To hide cython trace, we re-raise from here
---> 49 raise exc_type(exc_value)
50 else:
51 # To show the full trace, we do nothing and let exception propagate
RuntimeError: Runtime Exception. Unable to evaluate lambdas. Lambda workers did not start.
When I run my code I get that error. The s frame (df) is only 10 by 2 so there should be no overload coming from there. I don't know how to fix this issue.