分类: Python/Ruby
2010-07-29 13:46:17
In
a previous
post, I described how I designed a SQLite relational database
from an Excel table. It was a small example, so I hardcoded the data
into the Python script. For my actual problem, I need to convert my
Excel data into a SQLite database automatically. To do this, I used
the win32com
module and the sqlite3
module
included in Python 2.5.
Here is the table from my previous post. It shows some variables in in my C program. It shows the variable name, type, the module it belongs to, and a short description. Here is the table from my previous post. It shows some variables in in my C program. It shows the variable name, type, the module it belongs to, and a short description.
id | name | module | type | desc |
1 | foo | ModuleExt | double | Description of foo |
2 | bar | ModuleExt | double | Description of bar |
3 | knark | Module1 | int | Description of knark |
4 | wert | Module1 | double | Description of wert |
5 | jib | Module1 | double | Description of jib |
6 | laz | Module2 | double | Description of laz |
7 | kew | Module2 | double | Description of kew |
After installing the win32com
module
from ,
I used the following code.
import os
import sqlite3
from win32com.client import constants, Dispatch
#----------------------------------------
# get data from excel file
#----------------------------------------
XLS_FILE = os.getcwd() + "\\example.xls"
ROW_SPAN = (14, 21)
COL_SPAN = (2, 7)
app = Dispatch("Excel.Application")
app.Visible = True
ws = app.Workbooks.Open(XLS_FILE).Sheets(1)
exceldata = [[ws.Cells(row, col).Value
for col in xrange(COL_SPAN[0], COL_SPAN[1])]
for row in xrange(ROW_SPAN[0], ROW_SPAN[1])]
#----------------------------------------
# create SQL table and fill it with data
#----------------------------------------
conn = sqlite3.connect(example.db')
c = conn.cursor()
c.execute('''CREATE TABLE exceltable (
id INTEGER,
name TEXT,
module TEXT,
type TEXT,
desc TEXT
)''')
for row in exceldata:
c.execute('INSERT INTO exceltable VALUES (?,?,?,?,?)', row)
conn.commit()
#----------------------------------------
# display SQL data
#----------------------------------------
c.execute('SELECT * FROM exceltable')
for row in c:
print row
The Excel filename is example.xls and the table data begins at B14 (2nd column, 14th row) and ends at F20 (6th column, 20th row) in Sheet 1. The script uses a declarative approach to store the data in a Python list of lists. It creates a SQLite database named example.db and creates a connection to it. It then fills the database using the Python list data structure. Finally, it displays the newly created database. The screen output is shown below.
(1, u'foo', u'ModuleExt', u'double', u'Description of foo')
(2, u'bar', u'ModuleExt', u'double', u'Description of bar')
(3, u'knark', u'Module1', u'int', u'Description of knark')
(4, u'wert', u'Module1', u'double', u'Description of wert')
(5, u'jib', u'Module1', u'double', u'Description of jib')
(6, u'laz', u'Module2', u'double', u'Description of laz')
(7, u'kew', u'Module2', u'double', u'Description of kew')
If I want to interact with the newly created database using SQLite
directly, I can run sqlite3 example.db from my Cygwin
bash command line. (Note the conn.commit()
line in my
Python script is very important for this step to work. For some
reason, I didn't see this in the Python documentation.) Here is an
example session using SQLite directly with the new database.
$ sqlite3 example.db
SQLite version 3.5.1
Enter ".help" for instructions
sqlite> .schema
CREATE TABLE exceltable (
id INTEGER,
name TEXT,
module TEXT,
type TEXT,
desc TEXT
);
sqlite> select * from exceltable;
1|foo|ModuleExt|double|Description of foo
2|bar|ModuleExt|double|Description of bar
3|knark|Module1|int|Description of knark
4|wert|Module1|double|Description of wert
5|jib|Module1|double|Description of jib
6|laz|Module2|double|Description of laz
7|kew|Module2|double|Description of kew
sqlite>