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Runup error with yahoo’s library for python

I’m trying to use the Yahoo YQL library for Python. I know that some libraries are deprecated but I can’t figure out why the run_in_thread() method is raising the error.
import yahoo

querystring =’select * from html.div where url=”” and xpath=”//*[@id=”zgb”]”‘

data = yahoo.YAHOO.YAHOO_FETCH.fetch(querystring)

print data.results[0].source.run_in_thread()

Error:
# Traceback (most recent call last):
File “runup.py”, line 8, in
print data.results[0].source.run_in_thread()
AttributeError: ‘list’ object has no attribute ‘run_in_thread’

A:

The Yahoo YQL data module (used to query Yahoo’s REST-like API) doesn’t support threading yet.
You’ll need to run each part of the query separately, and have multiple threads handle the results.

A:

It is now deprecated, just ran:
import yahoo
from datetime import datetime
from yahoo.finance.quotes import Quote

querystring =’select * from html.div where url=”

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How to get numpy.einsum to not try to stack arrays?

I have some numpy arrays such as
a = array([1,2,3,4,5,6,7,8,9,10,11])
b = array([2,3,4,5,6,7,8])
c = array([10,20,30,40])

I’d like to calculate numpy.einsum(‘ab,bc’, [a,b,c]). What I’d expect to get is [a, b, c, 2, 3, 4, 5, 6, 7, 8, 10, 20, 30, 40].
However, numpy.einsum(‘ab,bc’, [a,b,c]) returns [a, b, c, a, b, c, 2, 3, 4, 5, 6, 7, 8, 10, 20, 30, 40]!
I tried calling numpy.einsum(‘ab,bc’, [a,b,c]).reshape(1, a.size, b.size) with no success. Any ideas?
EDIT: I’m running numpy 1.3.1. I also tried it on numpy 1.5.0 in case that’s the issue.

A:

There’s a hidden parameter option in the documentation:

option
If this is set to True einsum will evaluate only the first two-dimensional output.

So, I think you should be able to do:
np.einsum(‘ab,bc’, [a,b,c], False)

A:

numpy.einsum is evaluating only the first slice. Try
>>> import numpy as np
>>> a = np.array([1,2,3,4,5,6,7,8,9,10,11])
>>> b = np.array([2,3,4,5,6,7,8])
>>> c = np.array([10,20,30,40])
>>> np.einsum(‘ab,bc’, [a
3e33713323

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