我可以将SQL Server（= MS SQL）中的表导入Python / Pandas数据框吗？

Question

I am using Matlab and its ' datasets ', and R and its ' dataframes '.

I am thinking of using Python but I need an equivalent data-storing format. Extension 'Pandas' for Python has a class called dataframe which is similar.

Now I would like to be able to send a query to a SQL Server and store the result of that query in a Panda Dataframe

eg: newDataFrame = GetDataFrameFromSQLServer('SELECT * from schema.table',sqlConnection)

I had the impression that Pandas only talks to SQLite. Is that the case?

Answer 1

I believe pandas can handle any reading from any DB API v2.0 compliant data source. Have a look at pandas.io.sql ( link ) for a bunch of functions that facilitate this.

One thing to note, is that writing to a database requires a "flavor" where that flavor defaults to sqlite , but in the write_frame definition possible values are {'sqlite', 'mysql', 'oracle'} .