calculate specified column or row mean

[SriRajesh]

My code below:
i

mport glob
import pandas as pd
path =r'D:\Mekala_Backupdata\PythonCodes\InputFiles' # use your path
allFiles = glob.glob(path + "/*.csv")
frame = pd.DataFrame()
list_ = []
for file_ in allFiles:
    df = pd.read_csv(file_,index_col=None, header=0)
#    df = pd.read_csv(file_,index_col=None)
    list_.append(df)
frame = pd.concat(list_)
test=frame.dropna()

my data is stored in test.

My output show below:

Output:
test
Out[53]: 
   AAB   BT     2     5  5.1
0  YUT  HYT  89.0  52.0  3.0
4  YHT   JU  25.0  63.0  2.0
0  YUT  HYT  89.0  52.0  3.0
4  YHT   JU  25.0  63.0  2.0
0  YUT  HYT  89.0  52.0  3.0
4  YHT   JU  25.0  63.0  2.0

but I want to calculate 3rd row mean and 4th row mean.
I tried as below: but it give error.

test.mean([0,3])

Error:
Traceback (most recent call last):

  File "<ipython-input-54-e915aed94ad8>", line 1, in <module>
    test.mean([0,3])

  File "C:\Users\user\Anaconda3\lib\site-packages\pandas\core\generic.py", line 5632, in stat_func
    numeric_only=numeric_only)

  File "C:\Users\user\Anaconda3\lib\site-packages\pandas\core\frame.py", line 4930, in _reduce
    axis = self._get_axis_number(axis)

  File "C:\Users\user\Anaconda3\lib\site-packages\pandas\core\generic.py", line 328, in _get_axis_number
    axis = self._AXIS_ALIASES.get(axis, axis)

TypeError: unhashable type: 'list'