df.rename（）-TypeError：“索引”对象不可调用

Question

我正在加载数据，然后，我试图将df列重命名为小写：

journalist_data = pd.read_csv( cur_dir + 'fandango_score_comparison.csv')
journalist_data_clean = journalist_data.loc[:,['FILM','Fandango_Stars','Fandango_Ratingvalue','Fandango_votes','Fandango_Difference']]
journalist_data_clean_columns = journalist_data_clean.columns.str.lower()
journalist_data_clean.rename(index = str, columns =  journalist_data_clean_columns,inplace= True)

但是我有这个问题：

Traceback (most recent call last):
  File "C:/ML/DataQuest/Statistics/Fandango project/Investigating Fandango Movie Ratings.py", line 40, in <module>
    journalist_data_clean.rename(index = str, columns =  journalist_data_clean_columns,inplace= True)
  TypeError: 'Index' object is not callable

df的描述：

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 146 entries, 0 to 145
Data columns (total 5 columns):
FILM                    146 non-null object
Fandango_Stars          146 non-null float64
Fandango_Ratingvalue    146 non-null float64
Fandango_votes          146 non-null int64
Fandango_Difference     146 non-null float64
dtypes: float64(3), int64(1), object(1)

Answer 1

我仅举一个关于"Lower Case Column Names In Pandas Dataframe"的示例，希望对您有所帮助...

示例数据帧：

>>> df
             NAME  REPORTS  YEAR   <-- all column names are in upper-case
Cochice     Jason        4  2012
Pima        Molly       24  2012
Santa Cruz   Tina       31  2013
Maricopa     Jake        2  2014
Yuma          Amy        3  2014

将降低功能映射到所有列名称

>>> df.columns = map(str.lower, df.columns)
>>> df
             name  reports  year
Cochice     Jason        4  2012
Pima        Molly       24  2012
Santa Cruz   Tina       31  2013
Maricopa     Jake        2  2014
Yuma          Amy        3  2014

OR

df.columns = df.columns.str.lower()