Python pandas empty correlation matrix -


i running python 2.7.6, pandas 0.13.1. unable compute correlation matrix dataframe, , i'm not sure why. here example dataframe:

in [24]: foo out[24]:                                    b            c 2011-10-12   0.006204908 -0.0009503677  0.003480105 2011-10-13    0.00234903 -0.0005122284 -0.001738786 2011-10-14    0.01045599   0.000346268  0.002378351 2011-10-17   0.003239088   0.001246239 -0.002651856 2011-10-18   0.001717674 -0.0001738079  0.002013923 2011-10-19  0.0001919342  6.399505e-05 -0.001311259 2011-10-20  0.0007430615   0.001186141  0.001919222 2011-10-21   -0.01075129    -0.0015123  0.000807017 2011-10-24   -0.00819597 -0.0005124197  0.003037654 2011-10-25   -0.01604287   0.001157013 -0.001227516  [10 rows x 3 columns]

now i'll try compute correlation:

in [27]: foo.corr() out[27]: empty dataframe columns: [] index: []  [0 rows x 0 columns]

on other hand, can compute correlations of each column each other column. example:

in [31]: foo['a'].corr(foo['b']) out[31]: 0.048578514633405255

any idea might causing issue? lot.

version info

in [34]: import pandas pd  in [35]: pd.__version__ out[35]: '0.13.1'

as jeff mentioned in comments, problem resulted columns having object dtype. future reference, if object looks numeric, check dtype , make sure numeric (e.g. foo.astype(float)) before computing correlation matrix.


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