mysql-python

#!/usr/bin/python # -*- coding: utf-8 -*- import MySQLdb as mdb con = mdb.connect('localhost', 'root', 'root', 'kuis') with con: cur = con.cursor() cur.execute("UPDATE Writers SET Name = %s WHERE Id = %s ", ("new_value" , "3")) print "Number of rows updated:", cur.rowcount With above code the third row's value of the table Writers in the database kuis gets updated with new_value and the output will be Number od rows updated: 1 How am I supposed to update multiple rows at the same time? Probably you are looking for cursor.executemany . cur.executemany("UPDATE Writers SET Name = %s WHERE Id = %s

This error broke my python-mysql installation on Mac 10.7.5. Here are the steps The installed python is 2.7.1, mysql is 64 bit for 5.6.11. The being installed python-mysql is 1.2.4, also tried 1.2.3 Configurations for the installation 1) sudo ln -s /usr/local/mysql/lib /usr/local/mysql/lib/mysql 2) Edit the setup_posix.py and change the following mysql_config.path = "mysql_config" to mysql_config.path = "/usr/local/mysql/bin/mysql_config" 3) sudo python setup.py build Here is the stacktrace for build running build running build_py copying MySQLdb/release.py -> build/lib.macosx-10.7-intel-2.7

If I use MySQLdb to connect to MySQL-Server through Python. I create a connection and a cursor like this: connection = MySQLdb.connect(...) cursor = connection.cursor() # process When the MySQL-processing is done one should close the connection . Now I was wondering: Is it sufficient to close the connection by doing: connection.close() or do I have to close the cursor first and then the connection ? Like this: cursor.close() connection.close() S.Lott Use with , this tool allows you to create a temporary cursor that will be closed once you return to your previous indentation level. from

So I've been trying to do some database update with python and while setting up the whole dev environment, I came across these three things which made me dizzy. There's MySQLdb There's mysqlclient And then there's a mysql connector python What's each of them, the difference and where to use them? Thanks MySQLdb is a thin python wrapper around C module which implements API for MySQL database. There was MySQLDb1 version of wrapper used some time ago and now it is considered to be a legacy. As MySQLDb1 started evolving to MySQLDb2 with bug fixes and Python3 support, a MySQLDb1 was forked and here

I am trying to write a Pandas dataframe (or can use a numpy array) to a mysql database using MysqlDB . MysqlDB doesn't seem understand 'nan' and my database throws out an error saying nan is not in the field list. I need to find a way to convert the 'nan' into a NoneType. Any ideas? Andy Hayden @bogatron has it right, you can use where , it's worth noting that you can do this natively in pandas: df1 = df.where((pd.notnull(df)), None) Note: this changes the dtype of all columns to object . Example: In [1]: df = pd.DataFrame([1, np.nan]) In [2]: df Out[2]: 0 0 1 1 NaN In [3]: df1 = df.where((pd

I am using the following query: select count(*) from Table1 where CurrentDateTime>'2012-05-28 15:34:02.403504' and Error not in ('Timeout','Connection Error'); Surprisingly, this statement doesnot include the rows having Error value as NULL.My intention is to filter only rows with Error value as 'Timeout' (or) 'Connection Error'. I need to give an additional condition( OR Error is NULL) to retrieve the correct result. Why is MYSQL filtering out results with NULL values? I thought that IN keyword would return a boolean result (1/0) and now i understand that some MYSQL keywords doesnt return