python - Python blaze (pandas) は、ユーザーの dtype を安全に変換できません Python blazeを使用してuk nga geonames ダウンロード

Answer 1

何らかの理由で、ヘッダーが正しく推測されていません。infer_header次のようにキーワード引数を渡すことができます。

In [12]: from blaze import Data

In [13]: from odo import CSV, odo

In [14]: d = Data(CSV('uk.txt', sep='\t', has_header=True))

In [15]: d.head(5)
Out[15]:
   RC     UFI     UNI        LAT      LONG  DMS_LAT  DMS_LONG  \
0   1  380952  475802  54.086111 -6.655556   540510    -63920
1   1  380952  475801  54.086111 -6.655556   540510    -63920
2   1  380954  475805  54.104722 -6.648889   540617    -63856
3   1  380955  475806  54.098056 -6.644167   540553    -63839
4   1  380958  475810  54.040556 -6.614444   540226    -63652

              MGRS      JOG FC      ...          SORT_NAME_RG  \
0  29UPV5334795644  NN29-06  H      ...        CLAREBANERIVER
1  29UPV5334795644  NN29-06  H      ...             CLAREBANE
2  29UPV5371497729  NN29-06  H      ...           ALINA LOUGH
3  29UPV5404796997  NN29-06  H      ...          CORLISSLOUGH
4  29UPV5620690667  NN29-06  H      ...          DRUMBOYLOUGH

      FULL_NAME_RG  FULL_NAME_ND_RG NOTE MODIFY_DATE DISPLAY NAME_RANK  \
0  Clarebane River  Clarebane River  NaN  2014-06-27   1,2,3         2
1        Clarebane        Clarebane  NaN  2014-06-27   1,2,3         1
2     Alina, Lough     Alina, Lough  NaN  2014-06-27   1,2,3         1
3    Corliss Lough    Corliss Lough  NaN  2014-06-27   1,2,3         1
4    Drumboy Lough    Drumboy Lough  NaN  2014-06-27   1,2,3         1

  NAME_LINK TRANSL_CD NM_MODIFY_DATE
0       NaN       NaN     2014-06-27
1       NaN       NaN     2014-06-27
2       NaN       NaN     2014-06-27
3       NaN       NaN     2014-06-27
4       NaN       NaN     2014-06-27

[5 rows x 34 columns]

その後odo、目的のテーブルに単純に挿入します。

In [16]: t = odo(d, 'postgresql://localhost::uk')

In [17]: uk = Data(t)

In [19]: uk.head(5)
Out[19]:
   RC     UFI     UNI        LAT      LONG  DMS_LAT  DMS_LONG  \
0   1  380952  475802  54.086111 -6.655556   540510    -63920
1   1  380952  475801  54.086111 -6.655556   540510    -63920
2   1  380954  475805  54.104722 -6.648889   540617    -63856
3   1  380955  475806  54.098056 -6.644167   540553    -63839
4   1  380958  475810  54.040556 -6.614444   540226    -63652

              MGRS      JOG FC      ...          SORT_NAME_RG  \
0  29UPV5334795644  NN29-06  H      ...        CLAREBANERIVER
1  29UPV5334795644  NN29-06  H      ...             CLAREBANE
2  29UPV5371497729  NN29-06  H      ...           ALINA LOUGH
3  29UPV5404796997  NN29-06  H      ...          CORLISSLOUGH
4  29UPV5620690667  NN29-06  H      ...          DRUMBOYLOUGH

      FULL_NAME_RG  FULL_NAME_ND_RG NOTE MODIFY_DATE DISPLAY NAME_RANK  \
0  Clarebane River  Clarebane River  NaN  2014-06-27   1,2,3         2
1        Clarebane        Clarebane  NaN  2014-06-27   1,2,3         1
2     Alina, Lough     Alina, Lough  NaN  2014-06-27   1,2,3         1
3    Corliss Lough    Corliss Lough  NaN  2014-06-27   1,2,3         1
4    Drumboy Lough    Drumboy Lough  NaN  2014-06-27   1,2,3         1

  NAME_LINK TRANSL_CD NM_MODIFY_DATE
0       NaN       NaN     2014-06-27
1       NaN       NaN     2014-06-27
2       NaN       NaN     2014-06-27
3       NaN       NaN     2014-06-27
4       NaN       NaN     2014-06-27

[5 rows x 34 columns]