scikit learn-第一个参数必须是pandas对象的iterable，您传递了类型为“的对象”；“数据帧”；sklearn

import pandas as pd
import calendar
from datetime import datetime
data1 = pd.read_csv(train.csv")
data1['date']= data1.datetime.apply(lambda x : x.split()[0])
data1['hour']= data1.datetime.apply(lambda x : x.split()[1].split(":")[0])
data1["weekday"]= data1.date.apply(lambda dateString : calendar.day_name[datetime.strptime(dateString,"%m/%d/%Y").weekday()])
data1["month"]= data1.date.apply(lambda dateString : calendar.month_name[datetime.strptime(dateString,"%m/%d/%Y").month])
data1.to_csv("output1.csv")
bookings = data1.groupby('month')['Total_booking'].mean().sort_values(ascending=False)
bookings.to_csv("output2.csv")
from pandas import get_dummies
from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
data1['holiday'] =  le.fit_transform(data1['holiday'])

newdata = pd.get_dummies(data,columns=['weekday','month','season','weather'])
data2 = pd.concat(newdata,axis=1)

newdata1 = data1.drop(['weekday','month','season','weather'],axis=1,inplace=true)
newdata1.to_csv('output/output3.csv')

           TypeError        Traceback (most recent call last)
  ~\AppData\Local\Temp/ipykernel_1496/4131473043.py in 
           5 
              6 newdata = pd.get_dummies(data1,columns=['weekday','month','season','weather'])
                ----> 7 data2 = pd.concat(newdata,axis=1)
              8 
                    9 newdata1 = data1.drop(['weekday','month','season','weather'],axis=1,inplace=true)

    ~\anaconda3\lib\site-packages\pandas\util\_decorators.py in 
       wrapper(*args, **kwargs)
       309                     stacklevel=stacklevel,
     310                 )
    --> 311             return func(*args, **kwargs)
      312 
      313         return wrapper

       ~\anaconda3\lib\site-packages\pandas\core\reshape\concat.py 
       in concat(objs, axis, join, ignore_index, keys, levels, 
       names, verify_integrity, sort, copy)
       292     ValueError: Indexes have overlapping values: ['a']
        293     """
       --> 294     op = _Concatenator(
        295         objs,
        296         axis=axis,

    ~\anaconda3\lib\site-packages\pandas\core\reshape\concat.py in 
   __init__(self, objs, axis, join, keys, levels, names, 
 ignore_index, verify_integrity, copy, sort)
      327     ):
       328         if isinstance(objs, (ABCSeries, ABCDataFrame, str)):
       --> 329             raise TypeError(
         330                 "first argument must be an iterable of pandas "
          331                 f'objects, you passed an object of type "{type(objs).__name__}"'

        TypeError: first argument must be an iterable of pandas objects, you passed an object of type "DataFrame"

我试图通过删除一些值和更改日期时间格式来保存新的CSV文件。一点帮助。我确实纠正了错误，但现在它显示了这些错误。