Scipy's ttest_1samp returns a tuple, with the t-statistic, and the two-tailed p-value.
Example:
ttest_1samp([0,1,2], 0) = (array(1.7320508075688774), 0.22540333075851657)
But I'm only interested in the float of the t-test (the t-statistic), which I have only been able to get by using [0].ravel()[0]
Example:
ttest_1samp([0,1,2], 0)[0].ravel()[0] = 1.732
However, I'm quite sure there must be a more pythonic way to do this. What is the best way to get the float from this output?
From the source code, scipy.stats.ttest_1samp returns nothing more than a namedtuple Ttest_1sampResult with the statistic and p-value. Hence, you do not need to use .ravel - you can simply use
scipy.stats.ttest_1samp([0,1,2], 0)[0]
to access the statistic.
Note: From a further look at the source code, it is clear that this namedtuple only began being returned in release 0.14.0. In release 0.13.0 and earlier, it appears that a zero dim array is returned (source code), which for all intents and purposes can act just like a plain number as mentioned by BrenBarn.