objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257 13.2 Database-style DataFrame joining/merging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266 same name and • timezone instead of an array (GH2563) 1.3.2 New features • MySQL support for database (contribution from Dan Allan) 1.3.3 HDFStore You may need to upgrade your existing data files 1.11.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe

objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 377 14.2 Database-style DataFrame joining/merging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386 containing the pivoted data. 1.1.5 SQL The SQL reading and writing functions now support more database flavors through SQLAlchemy (GH2717, GH4163, GH5950, GH6292). All databases supported by SQLAlchemy wrapper around the other two and will delegate to specific function depending on the provided input (database table name or sql query). In practice, you have to provide a SQLAlchemy engine to the sql functions

objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341 14.2 Database-style DataFrame joining/merging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 350 Google’s BigQuery Data Sets by way of pandas DataFrames. BigQuery is a high performance SQL-like database service, useful for performing ad-hoc queries against extremely large datasets. See the docs 1 pandas: powerful Python data analysis toolkit, Release 0.13.1 1.5.2 New features • MySQL support for database (contribution from Dan Allan) 1.5.3 HDFStore You may need to upgrade your existing data files

objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 11.2 Database-style DataFrame joining/merging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 1.1.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (#774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe 2012) 1.2.1 New features • New unified merge function for efficiently performing full gamut of database / relational-algebra operations. Refactored existing join methods to use the new infrastructure

objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 11.2 Database-style DataFrame joining/merging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 2 1.2.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe 2012) 1.3.1 New features • New unified merge function for efficiently performing full gamut of database / relational-algebra operations. Refactored existing join methods to use the new infrastructure

objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 463 17.2 Database-style DataFrame joining/merging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 472 enhancements: • Added the ability to specify the SQL type of columns when writing a DataFrame to a database (GH8778). For example, specifying to use the sqlalchemy String type instead of the default Text cut/qcut when using Series and retbins=True (GH8589) • Bug in writing Categorical columns to an SQL database with to_sql (GH8624). • Bug in comparing Categorical of datetime raising when being compared to

objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 453 17.2 Database-style DataFrame joining/merging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 462 cut/qcut when using Series and retbins=True (GH8589) • Bug in writing Categorical columns to an SQL database with to_sql (GH8624). • Bug in comparing Categorical of datetime raising when being compared to values with to_sql (GH2754). • Added support for writing datetime64 columns with to_sql for all database flavors (GH7103). 1.2.2 Backwards incompatible API changes Breaking changes API changes related

objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 11.2 Database-style DataFrame joining/merging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145 1.3.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe 2012) 1.4.1 New features • New unified merge function for efficiently performing full gamut of database / relational-algebra operations. Refactored existing join methods to use the new infrastructure

objects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 547 18.2 Database-style DataFrame joining/merging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 558 io functions now accept a SQLAlchemy connectable. (GH7877) • pd.read_sql and to_sql can accept database URI as con parameter (GH10214) • read_sql_table will now allow reading from views (GH10750). • enhancements: • Added the ability to specify the SQL type of columns when writing a DataFrame to a database (GH8778). For example, specifying to use the sqlalchemy String type instead of the default Text

Appending rows to a DataFrame . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 688 18.2 Database-style DataFrame joining/merging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 689 io functions now accept a SQLAlchemy connectable. (GH7877) • pd.read_sql and to_sql can accept database URI as con parameter (GH10214) • read_sql_table will now allow reading from views (GH10750). • enhancements: • Added the ability to specify the SQL type of columns when writing a DataFrame to a database (GH8778). For example, specifying to use the sqlalchemy String type instead of the default Text