This showed up in the test suite for a PR for statsmodels. I have very little idea where this Series came from or why it's using get like this, but here it is anyway.
df = pd.Series(np.array([43, 48, 60, 48, 50, 51, 50, 45, 57, 48, 56,
45, 51, 39, 55, 43, 54, 52, 51, 54]),
index=pd.Float64Index([25.0, 36.0, 49.0, 64.0, 81.0, 100.0,
121.0, 144.0, 169.0, 196.0, 1225.0,
1296.0, 1369.0, 1444.0, 1521.0, 1600.0,
1681.0, 1764.0, 1849.0, 1936.0],
dtype='object'))
df.get(25, 0)
Traceback:
----> 1 df.get(25, 0)
/home/skipper/src/pandas-skipper/pandas/core/series.pyc in get(self, label, default)
756 """
757 try:
--> 758 return self.get_value(label)
759 except KeyError:
760 return default
/home/skipper/src/pandas-skipper/pandas/core/series.pyc in get_value(self, label)
776 value : scalar value
777 """
--> 778 return self.index.get_value(self.values, label)
779
780 def set_value(self, label, value):
/home/skipper/src/pandas-skipper/pandas/core/index.pyc in get_value(self, series, key)
1821 k = _values_from_object(key)
1822 loc = self.get_loc(k)
-> 1823 new_values = series.values[loc]
1824 if np.isscalar(new_values):
1825 return new_values
AttributeError: 'numpy.ndarray' object has no attribute 'values'
Version
[~/]
[11]: pd.version.version
[11]: '0.13.1-105-g8119991'
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