Here is what I currently have:
conn = sqlite3.connect(dbfile)
conn.text_factory = str ## my current (failed) attempt to resolve this
cur = conn.cursor()
data
What you're currently doing is printing out the python string representation of a tuple, i.e. the return value of str(row)
. That includes the quotes and 'u's and parentheses and so on.
Instead, you want the data formatted properly for a CSV file. Well, try the csv module. It knows how to format things for CSV files, unsurprisingly enough.
with open('output.csv', 'wb') as f:
writer = csv.writer(f)
writer.writerow(['Column 1', 'Column 2', ...])
writer.writerows(data)
my version that works without issues with just a couple of lines.
import pandas as pd
conn = sqlite3.connect(db_file, isolation_level=None,
detect_types=sqlite3.PARSE_COLNAMES)
db_df = pd.read_sql_query("SELECT * FROM error_log", conn)
db_df.to_csv('database.csv', index=False)
If you want a table separated file, change the .csv extension to .tsv and add this sep='\t'
Converting an sqlite database table to csv file can also be done directly using sqlite3 tools:
>sqlite3 c:/sqlite/chinook.db
sqlite> .headers on
sqlite> .mode csv
sqlite> .output data.csv
sqlite> SELECT customerid,
...> firstname,
...> lastname,
...> company
...> FROM customers;
sqlite> .quit
The above sqlite3 commands will will create a csv file called data.csv
in your current directory (of course this file can be named whatever you choose). More details are available here: http://www.sqlitetutorial.net/sqlite-export-csv/