Pandas 返回错误：“系列”对象是可变的，因此它们不能被散列

Question

I have a problem here, I was trying to find a specific value in my data frame. However I have received this error:

TypeError                                 Traceback (most recent call last)
<ipython-input-245-ded282cec75c> in <module>
----> 1 data.iloc(data['Amount'] == '11,99')

~\Anaconda3\lib\site-packages\pandas\core\indexing.py in __call__(self, axis)
    576 
    577         if axis is not None:
--> 578             axis = self.obj._get_axis_number(axis)
    579         new_self.axis = axis
    580         return new_self

~\Anaconda3\lib\site-packages\pandas\core\generic.py in _get_axis_number(cls, axis)
    396     @classmethod
    397     def _get_axis_number(cls, axis):
--> 398         axis = cls._AXIS_ALIASES.get(axis, axis)
    399         if is_integer(axis):
    400             if axis in cls._AXIS_NAMES:

~\Anaconda3\lib\site-packages\pandas\core\generic.py in __hash__(self)
   1796 
   1797     def __hash__(self):
-> 1798         raise TypeError(
   1799             f"{repr(type(self).__name__)} objects are mutable, "
   1800             f"thus they cannot be hashed"

TypeError: 'Series' objects are mutable, thus they cannot be hashed

How can I proceed?

import pandas as pd 
import matplotlib.pyplot as plt
import numpy as np

data = pd.read_csv('Data.csv', sep = ';')

data.iloc(data['Amount'] == '11,99')

Answer 1

Use data[data['Amount'] == '11,99'] It should work just fine..!