python - pandas mean function returning NaN -


i know may newbie question, please forgive me, have not found answer seems make sense to/help me. importing data .csv file , need slice out particular part. have done , when print data frame , values need present.

    df = pd.read_csv('c:/users/owner/desktop/df.csv')     dfr = df[44:58] #rows need     dfrc = dfr[['1','2','3','4','5']] #columns need     dfrc.mean(axis=1 skipna=true) #there nans present in last index

what returned 

    44   nan     ...     57   nan     dtype: float64

i not sure why is, need numerical value mean of index/row. hoping on forum able help. thank you.

are sure data numeric (int or float)? maybe should try cast columns before, , see if error raised.

dfrc = dfrc.astype(float)

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