인프런 커뮤니티 질문&답변

df.loc[df['age']>=30, ['name', 'value']]

이 부분이 

TypeError                                 Traceback (most recent call last)
<ipython-input-108-dd0bf85b7488> in <module>
----> 1 df.loc[df['age']>=30, ['name', 'value']]

~\anaconda3\lib\site-packages\pandas\core\ops\common.py in new_method(self, other)
     63         other = item_from_zerodim(other)
     64 
---> 65         return method(self, other)
     66 
     67     return new_method

~\anaconda3\lib\site-packages\pandas\core\ops\__init__.py in wrapper(self, other)
    368         rvalues = extract_array(other, extract_numpy=True)
    369 
--> 370         res_values = comparison_op(lvalues, rvalues, op)
    371 
    372         return self._construct_result(res_values, name=res_name)

~\anaconda3\lib\site-packages\pandas\core\ops\array_ops.py in comparison_op(left, right, op)
    242 
    243     elif is_object_dtype(lvalues.dtype):
--> 244         res_values = comp_method_OBJECT_ARRAY(op, lvalues, rvalues)
    245 
    246     else:

~\anaconda3\lib\site-packages\pandas\core\ops\array_ops.py in comp_method_OBJECT_ARRAY(op, x, y)
     54         result = libops.vec_compare(x.ravel(), y.ravel(), op)
     55     else:
---> 56         result = libops.scalar_compare(x.ravel(), y, op)
     57     return result.reshape(x.shape)
     58 

pandas\_libs\ops.pyx in pandas._libs.ops.scalar_compare()

TypeError: '>=' not supported between instances of 'str' and 'int'
이렇게 오류가 뜨는데 어떻게 해결해야 하나요??