python jupter　ValueError: cannot set a row with mismatched columns

ValueError                                Traceback (most recent call last)
Cell In[326], line 6
      3 individual_row_data = [data.text.strip() for data in row_data]
      5 length = len(df)
----> 6 df.loc[length] = individual_row_data

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\pandas\core\indexing.py:911, in _LocationIndexer.__setitem__(self, key, value)
    908 self._has_valid_setitem_indexer(key)
    910 iloc = self if self.name == "iloc" else self.obj.iloc
--> 911 iloc._setitem_with_indexer(indexer, value, self.name)

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\pandas\core\indexing.py:1932, in _iLocIndexer._setitem_with_indexer(self, indexer, value, name)
   1929     indexer, missing = convert_missing_indexer(indexer)
   1931     if missing:
-> 1932         self._setitem_with_indexer_missing(indexer, value)
   1933         return
   1935 if name == "loc":
   1936     # must come after setting of missing

File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\pandas\core\indexing.py:2306, in _iLocIndexer._setitem_with_indexer_missing(self, indexer, value)
   2303     if is_list_like_indexer(value):
   2304         # must have conforming columns
   2305         if len(value) != len(self.obj.columns):
-> 2306             raise ValueError("cannot set a row with mismatched columns")
...
   2310 if not len(self.obj):
   2311     # We will ignore the existing dtypes instead of using
   2312     #  internals.concat logic

ValueError: cannot set a row with mismatched columns

### 該当するソースコード
```言語名
python jupyter

from bs4 import BeautifulSoup
import requests

url = "https://en.wikipedia.org/wiki/List_of_cryptocurrencies"
page = requests.get(url)
soup = BeautifulSoup(page.text, "html")
print(soup)

soup.find('table', class_ = "wikitable sortable" )

table = soup.find_all('table')[1]

print(table)

world_titles = soup.find_all('th')

world_titles

world_table_titles = [title.text.strip() for title in world_titles]
print(world_table_titles)

df = pd.DataFrame(columns = world_table_titles)
df

for row in column_data[1:]:
    row_data = row.find_all('td')
    individual_row_data = [data.text.strip() for data in row_data]
   
    length = len(df)
    df.loc[length] = individual_row_data
    df