WebFeb 25, 2015 · Can you show the output of merged.info() and merged1.info().Further, do you have NaN values? Do you have the same problem if you only try to append the first rows of the dataframe (merged.head().to_sql(...)You can also try to pass echo=True to create_engine to get a more verbose output of what is going on. – joris WebJan 16, 2012 · cursor.setinputsizes(cx_Oracle.STRING) it works. On the original question - how to get rid of the hextoraw, I found that this works: ... Python cx_oracle error: expecting string or bytes object. 0. padding oracle attack - how to represent hexadecimal as one byte in python ... How do telescopes see many billion light years distant object in our ...
Python cx_oracle error: expecting string or bytes object
WebJul 12, 2024 · @JustinEzequiel thanks, yeah I tried that as well, but when I have it constructed in that manner the query does not complete. When I have it as shown above, it completes fine. it gives me message like 'attribute 'client_identifier' of 'cx_Oracle.Connection' objects is not readable' when I run it in debug. – WebNov 20, 2024 · Python cx_oracle error: expecting string or bytes object Roel Van de Paar 117K subscribers Subscribe 0 Share 63 views 4 months ago Python cx_oracle error: … picture of gender reassignment surgery
Python - TypeError: expecting string or bytes object
WebJun 9, 2024 · Python - TypeError: expecting string or bytes object python sql pandas dataframe cx-oracle 13,740 Based on the export data noted above, the problem you are experiencing is due to the fact that the data in one row is not the same type as the data in subsequent rows. WebJan 19, 2024 · rs = engine.execute ("DROP TABLE {0}".format (table)) df.to_sql (table,engine,schema=schema,if_exists='replace',index=False,chunksize=1,dtype=otypes) I do not see how I could provide you with something that could be used to debug... I could provide the full Dataframe data as well as the dtypes if this could help. let me know what … WebJul 7, 2024 · You are parsing a cursor object. Try replace my_sql in pd.read_sql with query i.e. pd.read_sql(query.format(id=id)) or use the cursor object i.e. df = pd.DataFrame(my_sql.fetchall()) Note, fetchall() does only return the data i.e not the header, which can be obtained using cursor.description (see the SO answer here) picture of gene decode