ValueError: 5 columns passed, passed data had 6 columns　のエラー解消法

前提・実現したいこと

PythonとTwitter APIを使用して特定のアカウントのツイートをExcelファイルに出力したいです。

ですがエラーメッセージ最終行にある、
「ValueError: 5 columns passed, passed data had 6 columns」
の解消法が分からず困っています。

ご存じの方がいらっしゃいましたらご教授いただけますと幸いです。
使用エディタはJupyter Labです。

発生している問題・エラーメッセージ

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
File ~/opt/anaconda3/lib/python3.9/site-packages/pandas/core/internals/construction.py:982, in _finalize_columns_and_data(content, columns, dtype)
    981 try:
--> 982     columns = _validate_or_indexify_columns(contents, columns)
    983 except AssertionError as err:
    984     # GH#26429 do not raise user-facing AssertionError

File ~/opt/anaconda3/lib/python3.9/site-packages/pandas/core/internals/construction.py:1030, in _validate_or_indexify_columns(content, columns)
   1028 if not is_mi_list and len(columns) != len(content):  # pragma: no cover
   1029     # caller's responsibility to check for this...
-> 1030     raise AssertionError(
   1031         f"{len(columns)} columns passed, passed data had "
   1032         f"{len(content)} columns"
   1033     )
   1034 elif is_mi_list:
   1035 
   1036     # check if nested list column, length of each sub-list should be equal

AssertionError: 5 columns passed, passed data had 6 columns

The above exception was the direct cause of the following exception:

ValueError                                Traceback (most recent call last)
Input In [10], in <cell line: 10>()
      7     df.to_excel('tw_%s.xlsx'%tw_id, sheet_name='Sheet1')
      9     print("end")
---> 10 get_tweets()

Input In [10], in get_tweets()
      4 for tweet in tweepy.Cursor(api.user_timeline,screen_name = tw_id,exclude_replies = True).items():
      5     tweet_data.append([tweet.id,tweet.created_at,tweet.created_at+datetime.timedelta(hours=9),tweet.text.replace('\n',''),tweet.favorite_count,tweet.retweet_count])
----> 6 df = pd.DataFrame(tweet_data,columns=columns_name)
      7 df.to_excel('tw_%s.xlsx'%tw_id, sheet_name='Sheet1')
      9 print("end")

File ~/opt/anaconda3/lib/python3.9/site-packages/pandas/core/frame.py:721, in DataFrame.__init__(self, data, index, columns, dtype, copy)
    716     if columns is not None:
    717         # error: Argument 1 to "ensure_index" has incompatible type
    718         # "Collection[Any]"; expected "Union[Union[Union[ExtensionArray,
    719         # ndarray], Index, Series], Sequence[Any]]"
    720         columns = ensure_index(columns)  # type: ignore[arg-type]
--> 721     arrays, columns, index = nested_data_to_arrays(
    722         # error: Argument 3 to "nested_data_to_arrays" has incompatible
    723         # type "Optional[Collection[Any]]"; expected "Optional[Index]"
    724         data,
    725         columns,
    726         index,  # type: ignore[arg-type]
    727         dtype,
    728     )
    729     mgr = arrays_to_mgr(
    730         arrays,
    731         columns,
   (...)
    734         typ=manager,
    735     )
    736 else:

File ~/opt/anaconda3/lib/python3.9/site-packages/pandas/core/internals/construction.py:519, in nested_data_to_arrays(data, columns, index, dtype)
    516 if is_named_tuple(data[0]) and columns is None:
    517     columns = ensure_index(data[0]._fields)
--> 519 arrays, columns = to_arrays(data, columns, dtype=dtype)
    520 columns = ensure_index(columns)
    522 if index is None:

File ~/opt/anaconda3/lib/python3.9/site-packages/pandas/core/internals/construction.py:883, in to_arrays(data, columns, dtype)
    880     data = [tuple(x) for x in data]
    881     arr = _list_to_arrays(data)
--> 883 content, columns = _finalize_columns_and_data(arr, columns, dtype)
    884 return content, columns

File ~/opt/anaconda3/lib/python3.9/site-packages/pandas/core/internals/construction.py:985, in _finalize_columns_and_data(content, columns, dtype)
    982     columns = _validate_or_indexify_columns(contents, columns)
    983 except AssertionError as err:
    984     # GH#26429 do not raise user-facing AssertionError
--> 985     raise ValueError(err) from err
    987 if len(contents) and contents[0].dtype == np.object_:
    988     contents = _convert_object_array(contents, dtype=dtype)

ValueError: 5 columns passed, passed data had 6 columns

該当のソースコード

#ツイートをエクセルファイルに出力する
import tweepy
import pandas as pd
import datetime

# TweepyAPI KEY
CONSUMER_KEY = "XXXXXXXXXXXXXXXXXXXXXXXXX"
CONSUMER_SECRET = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
ACCESS_TOKEN = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
ACCESS_TOKEN_SECRET = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"

#tweepyの設定
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
api = tweepy.API(auth)
columns_name=["TW_NO","TW_TIME","TW_TEXT","RT","FAV"]

#ここで取得したいツイッターアカウントIDを指定する
tw_id="karupoimou"

#ツイート取得
def get_tweets():
    tweet_data = []
    for tweet in tweepy.Cursor(api.user_timeline,screen_name = tw_id,exclude_replies = True).items():
        tweet_data.append([tweet.id,tweet.created_at,tweet.created_at+datetime.timedelta(hours=9),tweet.text.replace('\n',''),tweet.favorite_count,tweet.retweet_count])
    df = pd.DataFrame(tweet_data,columns=columns_name)
    df.to_excel('tw_%s.xlsx'%tw_id, sheet_name='Sheet1')
    
    print("end")
get_tweets()