尝试在Python中将dbf转换为csv时出错

时间:2012-12-19 01:51:15

标签: python dbf

Python新手在这里请你温柔。

我正在尝试将dbf文件转换为csv。我偶然发现了一个previous, similar问题(尽管有相反的转换)并且正在考虑使用dbf模块。

使用docs中的示例我尝试了此代码:

import dbf

dbf_fn = r'_PATH_HERE_\dbffile.dbf'
csv_fn = r'_PATH_HERE_\csvfile.csv'

in_db = dbf.Table(dbf_fn)

in_db.export(filename=csv_fn, header=True)

当我尝试运行它时,我收到以下错误:

Traceback (most recent call last):
  File "<pyshell#24>", line 1, in <module>
    in_db.export(filename=csv_fn, header=True)
  File "C:\Python27\ArcGIS10.1\lib\site-packages\dbf.py", line 3379, in __getattr__
    return object.__getattribute__(self, name)
AttributeError: 'Db3Table' object has no attribute 'export'

为什么导出失败?


更新

根据chm的建议,我现在使用:

dbf.export(in_db, csv_fn, header=True)

这仍然会导致问题:

Traceback (most recent call last):
  File "D:\Data_RP\data\projects\kN\GIS\python\04_convert_dbf_ALT.py", line 31, in <module>
    dbf.export(in_db, filename=csv_fn, header=True)
  File "C:\Python27\ArcGIS10.1\lib\site-packages\dbf.py", line 5670, in export
    table = source_table(table_or_records[0])
  File "C:\Python27\ArcGIS10.1\lib\site-packages\dbf.py", line 3384, in __getitem__
    return self._table[value]
  File "C:\Python27\ArcGIS10.1\lib\site-packages\dbf.py", line 3175, in __getitem__
    raise DbfError("%s is closed; record %d is unavailable" % (meta.filename, index))
DbfError: D:\Data_RP\data\projects\kN\GIS\shapes\SWM_4N.dbf is closed; record 0 is unavailable

1 个答案:

答案 0 :(得分:4)

我发现网站上的文档是错误的。如果您在代码中使用了帮助,则可以看到正确的文档,如下所示:

export(table_or_records, filename, field_names=None,
format='csv', header=True, codepage=None)
writes the records using CSV or tab-delimited format, using the filename
given if specified, otherwise the table name
if table_or_records is a collection of records (not an actual table) they
should all be of the same format

1. export现在不是班级Table的成员。 只是用 dbf.export(in_db, csv_fn, header=True) 代替 in_db.export(filename=csv_fn, header=True)

2.在创建表格后使用open(代码示例:)

import dbf

csv_fn = r'sdv.csv'

table = dbf.Table('temptable.dbf')
table.open()

dat=('John Doe', 31)
table.append(dat)
dbf.export(table, csv_fn, header = True)