Python“InterfaceError：绑定参数 2 时出错 - 可能是不受支持的类型。”

Question

当我运行以下代码时，我不断收到“InterfaceError：错误绑定参数 2 - 可能不受支持的类型”错误，并且我需要帮助确定问题所在。一切工作正常，直到我尝试将数据发送到 sql。

anagramsdf.to_sql('anagrams',con=conn,if_exists='replace',index=False)
cdf=pd.read_sql("select (distinct ID) from anagrams;",conn)

---

import pandas as pd
import sqlite3

conn = sqlite3.connect("anagrams")
xsorted=sorted(anagrams,key=sorted)
xunique=[x[0] for x in anagrams]

xunique=pd.Series(xunique)
xanagrams=pd.Series(anagrams)
anagramsdf=pd.concat([xunique,dfcount,xanagrams],axis=1)
anagramsdf.columns=['ID','anagram_count','anagram_list']

c=conn.cursor()
c.execute("create table anagrams(ID, anagram_count, anagram_list)")
conn.commit()

anagramsdf.to_sql('anagrams',con=conn,if_exists='replace',index=False)
cdf=pd.read_sql("select (distinct ID) from anagrams;",conn)

cdf=pd.read_sql("select max(anagram_count) from anagrams;",conn)
cdf
def print_full(x):
    pd.set_option('display.max_rows', len(x))
    print(x)
    pd.reset_option('display.max_rows')

cdf=pd.read_sql("select * from anagrams where anagram_count=12;",conn)
pd.set_option('max_colwidth',200)

完整回溯错误：

Traceback (most recent call last):
  File "sqlpandas.py", line 88, in <module>
    anagramsdf.to_sql('anagrams',con=conn,if_exists='replace',index=False)
  File "/Users/andrewclark/anaconda/lib/python2.7/site-packages/pandas/core/generic.py", line 982, in to_sql
    dtype=dtype)
  File "/Users/andrewclark/anaconda/lib/python2.7/site-packages/pandas/io/sql.py", line 549, in to_sql
    chunksize=chunksize, dtype=dtype)
  File "/Users/andrewclark/anaconda/lib/python2.7/site-packages/pandas/io/sql.py", line 1567, in to_sql
    table.insert(chunksize)
  File "/Users/andrewclark/anaconda/lib/python2.7/site-packages/pandas/io/sql.py", line 728, in insert
    self._execute_insert(conn, keys, chunk_iter)
  File "/Users/andrewclark/anaconda/lib/python2.7/site-packages/pandas/io/sql.py", line 1357, in _execute_insert
    conn.executemany(self.insert_statement(), data_list)
sqlite3.InterfaceError: Error binding parameter 2 - probably unsupported type.

数据框的片段：

             ID  anagram_count           anagram_list
0            aa              1                  (aa,)
1      anabaena              1            (anabaena,)
2      baaskaap              1            (baaskaap,)
3      caracara              1            (caracara,)
4      caragana              1            (caragana,)

Answer 1

我使用以下代码将数据类型更改为字符串，这解决了问题：

anagramsdf.dtypes
anagramsdf['ID']= anagramsdf['ID'].astype('str')
anagramsdf['anagram_list']= anagramsdf['anagram_list'].astype('str')
anagramsdf.to_sql('anagramsdf',con=conn,if_exists='append',index=False)