Created
          April 27, 2011 14:03 
        
      - 
      
- 
        Save pnavarro-algometrics/944293 to your computer and use it in GitHub Desktop. 
    Insert numpy array into a sqlite3 database
  
        
  
    
      This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
      Learn more about bidirectional Unicode characters
    
  
  
    
  | import sqlite3 | |
| import numpy | |
| # Array of 4 columns and 100 rows | |
| data = numpy.random.rand(100, 4) | |
| # Create a sample database | |
| conn = sqlite3.connect('/tmp/sample.db') | |
| cursor = conn.cursor() | |
| # Create a new table with four columns | |
| cursor.execute('''create table data (field1 real, field2 real, field3 real, field4 real)''') | |
| conn.commit() | |
| # Insert the data array into the 'data' table | |
| cursor.executemany('''insert into data values (?, ?, ?, ?)''', map(tuple, data.tolist())) | |
| conn.commit() | |
| cursor.close() | |
| conn.close() | 
  
    Sign up for free
    to join this conversation on GitHub.
    Already have an account?
    Sign in to comment
  
            
Bad idea, you should consider using register_adapter and register_converter instead from the sqlite3 module