C:\Anaconda\Lib\site-packages>python -m doctest README.rst
**********************************************************************
File "README.rst", line 75, in README.rst
Failed example:
    mapper.fit_transform(data)
Exception raised:
    Traceback (most recent call last):
      File "C:\Anaconda\lib\doctest.py", line 1289, in __run
        compileflags, 1) in test.globs
      File "<doctest README.rst[5]>", line 1, in <module>
        mapper.fit_transform(data)
      File "sklearn\base.py", line 408, in fit_transform
        return self.fit(X, **fit_params).transform(X)
      File "sklearn_pandas\__init__.py", line 46, in fit
        transformer.fit(X[columns])
      File "sklearn\preprocessing\label.py", line 241, in fit
        self.classes_ = unique_labels(y)
      File "sklearn\utils\multiclass.py", line 98, in unique_labels
        raise ValueError("Unknown label type")
    ValueError: Unknown label type
**********************************************************************
File "README.rst", line 89, in README.rst
Failed example:
    mapper.transform({'pet': ['cat'], 'children': [5.]})
Exception raised:
    Traceback (most recent call last):
      File "C:\Anaconda\lib\doctest.py", line 1289, in __run
        compileflags, 1) in test.globs
      File "<doctest README.rst[6]>", line 1, in <module>
        mapper.transform({'pet': ['cat'], 'children': [5.]})
      File "sklearn_pandas\__init__.py", line 52, in transform
        fea = transformer.transform(X[columns])
      File "sklearn\preprocessing\label.py", line 261, in transform
        self._check_fitted()
      File "sklearn\preprocessing\label.py", line 221, in _check_fitted
        raise ValueError("LabelBinarizer was not fitted yet.")
    ValueError: LabelBinarizer was not fitted yet.
**********************************************************************
File "README.rst", line 103, in README.rst
Failed example:
    mapper2.fit_transform(data)
Expected:
    array([[ 47.62288153],
           [-18.38596516],
           [  1.62873661],
           [-15.3709553 ],
           [-10.36602451],
           [ 16.62846476],
           [ -6.38116123],
           [-15.37597671]])
Got:
    array([[ 47.62195051],
           [-18.39077736],
           [  1.63037658],
           [-15.36917967],
           [-10.36208485],
           [ 16.62998504],
           [ -6.38386526],
           [-15.376405  ]])
**********************************************************************
File "README.rst", line 123, in README.rst
Failed example:
    cross_val_score(pipe, data, data.salary, sklearn.metrics.mean_squared_error)

Exception raised:
    Traceback (most recent call last):
      File "C:\Anaconda\lib\doctest.py", line 1289, in __run
        compileflags, 1) in test.globs
      File "<doctest README.rst[10]>", line 1, in <module>
        cross_val_score(pipe, data, data.salary, sklearn.metrics.mean_squared_er
ror)
      File "sklearn_pandas\__init__.py", line 34, in cross_val_score
        return cross_validation.cross_val_score(df, X_indices, *args, **kwargs)
      File "sklearn\cross_validation.py", line 1152, in cross_val_score
        for train, test in cv)
      File "sklearn\externals\joblib\parallel.py", line 517, in __call__
        self.dispatch(function, args, kwargs)
      File "sklearn\externals\joblib\parallel.py", line 312, in dispatch
        job = ImmediateApply(func, args, kwargs)
      File "sklearn\externals\joblib\parallel.py", line 136, in __init__
        self.results = func(*args, **kwargs)
      File "sklearn\cross_validation.py", line 1060, in _cross_val_score
        estimator.fit(X_train, y_train, **fit_params)
      File "sklearn_pandas\__init__.py", line 19, in fit
        self.estimator.fit(self._get_row_subset(x), y)
      File "sklearn\pipeline.py", line 130, in fit
        Xt, fit_params = self._pre_transform(X, y, **fit_params)
      File "sklearn\pipeline.py", line 120, in _pre_transform
        Xt = transform.fit_transform(Xt, y, **fit_params_steps[name])
      File "sklearn\base.py", line 411, in fit_transform
        return self.fit(X, y, **fit_params).transform(X)
      File "sklearn_pandas\__init__.py", line 46, in fit
        transformer.fit(X[columns])
      File "sklearn\preprocessing\label.py", line 241, in fit
        self.classes_ = unique_labels(y)
      File "sklearn\utils\multiclass.py", line 98, in unique_labels
        raise ValueError("Unknown label type")
    ValueError: Unknown label type
**********************************************************************
1 items had failures:
   4 of  11 in README.rst
***Test Failed*** 4 failures.