Hi, thanks to all of you who spend time on this project, it is invaluable to me.
Unfortuatnely, i think I have run into an indexing-type issue, either that or my expectations are incorrect. Consider the following script:
import random
import pandas
import numpy as np
columns = list('abcdefg')
subcols = columns[1:-1]
X = pandas.DataFrame(0.0, columns=columns, index=range(100))
Z = pandas.DataFrame(np.random.randn(100,len(subcols)), columns=subcols, index=range(100))
block1 = list(subcols)
random.shuffle(block1)
X[block1] -= Z
print X.corrwith(Z)
X = pandas.DataFrame(0.0, columns=columns, index=range(100))
X[block1] -= Z[block1]
print X.corrwith(Z)
print pandas.__version__
The output i get is something like this (obviously depends on the random inputs)
a NaN
b -0.127386
c -0.073521
d -0.073521
e -0.127386
f -1.000000
g NaN
dtype: float64
a NaN
b -1
c -1
d -1
e -1
f -1
g NaN
dtype: float64
0.15.0rc1-10-g215569a
where the second result is what i would have expected.
I was surprised to find that I have to "reindex" Z by block1 to get a correct result. Is my expectation incorrect?
Many thanks
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