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In our code, we don't check for pd.Series, which leads to an awkward error on load:
df_in["text_"] Out[14]: 0 EXOjLrekhi 1 rgHt1G78el 2 f35XdnzI7w 3 bd5roUesjg 4 Br6mRzNJBK 5 aplZmLcXgN 6 4PHpJwQULz 7 tNaIoRXsgt 8 viYX5V7unA 9 9ntpty6SMv 10 yLQCKaA1Zc 11 78rKbkR8Zx 12 RvGFrKVxRA 13 7TyVy0yQy3 14 7jfZZnuxVr 15 jj07LXMDB8 16 lnJK3AiXlg 17 CtNnaReNXf 18 Q5lZUwZatR 19 zdxlF4Poh7 20 NRBcZFh28m 21 GEknC1BWRq 22 B143VQEIVa 23 zc3953dsfY 24 lKoZlx0tb2 25 Ow9CQsMca0 26 idhrzZaeyU 27 6MI5uP1dCQ 28 VrDZAqR5w0 29 arzw7tDPEd 9970 VvO4ZDBTSB 9971 s3bLBWzM4E 9972 tVwxdjcfaK 9973 U3kpawCgGV 9974 0u5X58nZ2r 9975 jXCi23u5XI 9976 MjFSpr5qvM 9977 ktTPSXlcGc 9978 hIJmiTYvP3 9979 SUdkoKLu2v 9980 cIRnTXFqDv 9981 m4eO46ISEP 9982 ckNd20yXAj 9983 5pNoI9wG2E 9984 crUNMcIzbX 9985 ka9VZsX597 9986 cqlyG83SBy 9987 1QD2gOApM3 9988 TISxpu1ZS8 9989 YWIQuTOcMk 9990 5wnljquyde 9991 fiVI6Ce9fG 9992 KHU2bE8gAV 9993 QabqCtYhkg 9994 4PZf80AWXe 9995 dzrBfDRW3x 9996 A3bT9VnnVx 9997 iTJc6Lh5IR 9998 U0tnRiDEdQ 9999 zV9bcdFDE0 Name: text_, Length: 10000, dtype: object con.load_table("test_text_no_encoding", df_in["text_"], method='rows') Traceback (most recent call last): File "<ipython-input-15-46ac93a8bf31>", line 1, in <module> con.load_table("test_text_no_encoding", df_in["text_"], method='rows') File "/home/rzwitch/github_work/pymapd/pymapd/connection.py", line 501, in load_table self._client.load_table(self._session, table_name, input_data) File "/home/rzwitch/github_work/pymapd/mapd/MapD.py", line 2475, in load_table self.recv_load_table() File "/home/rzwitch/github_work/pymapd/mapd/MapD.py", line 2499, in recv_load_table raise result.e TMapDException: TMapDException(error_msg='Wrong number of columns to load into Table test_text_no_encoding (10 vs 2)')
Wrapping code in the following allows for result to work: con.load_table("test_text_no_encoding", pd.DataFrame(df_in["text_"]), method='rows')
con.load_table("test_text_no_encoding", pd.DataFrame(df_in["text_"]), method='rows')
The text was updated successfully, but these errors were encountered:
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In our code, we don't check for pd.Series, which leads to an awkward error on load:
Wrapping code in the following allows for result to work:
con.load_table("test_text_no_encoding", pd.DataFrame(df_in["text_"]), method='rows')
The text was updated successfully, but these errors were encountered: