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Typerror in machine learning tutorial, numpy

This is the notebook that gives me the problem: https://github.com/justmarkham/scikit-learn-videos/blob/master/07_cross_validation.ipynb

from sklearn.cross_validation import KFold
kf = KFold(25, n_folds=5, shuffle=False)

# print the contents of each training and testing set
print('{} {:^61} {}'.format('Iteration', 'Training set observations',             
'Testing set observations'))
for iteration, data in enumerate(kf, start=1):
    print('{:^9} {} {:^25}'.format(iteration, data[0], data[1]))

This is the error I am getting:

TypeError: unsupported format string passed to numpy.ndarray.__format__

I don't know where to start because I am not familiar with numpy.

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1 answer


It seems like it just skips the explicit string conversion:

from sklearn.cross_validation import KFold
kf = KFold(25, n_folds=5, shuffle=False)

# print the contents of each training and testing set
print('{} {:^61} {}'.format('Iteration', 
                            'Training set observations', 
                            'Testing set observations'))
for iteration, data in enumerate(kf, start=1):
    print('{:^9} {} {:^25}'.format(iteration, data[0], str(data[1])))

or



    print('{:^9} {} {!s:^25}'.format(iteration, data[0], data[1]))

!s

is another way to convert it to string.

In general the mini formatting language is explained in the "Format specification mini language"

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