Pandas 列表比较给出值错误

Question

I have a dataframe I generate by using

df = qr_actions.get_pandas_df(query)

and then generate a list of the rows using rows = [r[1] for r in df.iterrows()] and am trying to compare it to another list of rows I generate using the same method by doing (rows1 == rows2).all() , but keep getting the error

Name: 0, dtype: bool

    def __nonzero__(self):
        raise ValueError("The truth value of a {0} is ambiguous. "
                         "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
>                        .format(self.__class__.__name__))
E       ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

/usr/local/lib/python2.7/dist-packages/pandas/core/generic.py:892: ValueError

How can I do this? When I try to use pandas series equality functions I get errors because my objects are lists, but doing rows1 == rows2 alone gives me the output above. How can I solve this?

===================================================

Alternatively, I know my two rows are both

[a    1
Name: 0, dtype: int64]

How can I compare them to assert true for testing purposes?

Answer 1

Your rows is a list and a operation rows1 == rows2 will return a boolean after which you can't apply all attribute. Converting your rows to pd.Series will solve the issue:

rows = pd.Series([r[1] for r in dftest.iterrows()])