All databases supported by SQLAlchemy can be used, such as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of SQLAlchemy on included dialects). The functionality of providing DBAPI connection from a filelike handle Modifying formatting in XlsxWriter output HTML Reading HTML tables from a server that cannot handle the default request header HDFStore The HDFStores docs Simple Queries with account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. jupyter iPython notebook on remote host) New in version 0.18.1. dialect : {‘legacy’

All databases supported by SQLAlchemy can be used, such as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of SQLAlchemy on included dialects). The functionality of providing DBAPI connection from a filelike handle Modifying formatting in XlsxWriter output HTML Reading HTML tables from a server that cannot handle the default request header HDFStore The HDFStores docs Simple Queries with account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. jupyter iPython notebook on remote host) New in version 0.18.1. dialect : {‘legacy’

All databases supported by SQLAlchemy can be used, such as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of SQLAlchemy on included dialects). The functionality of providing DBAPI connection filelike handle Modifying formatting in XlsxWriter output 7.9.4 HTML Reading HTML tables from a server that cannot handle the default request header 7.9.5 HDFStore The HDFStores docs Simple Queries account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. jupyter iPython notebook on remote host) dialect : {‘legacy’, ‘standard’}, default

All databases supported by SQLAlchemy can be used, such as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of SQLAlchemy on included dialects). The functionality of providing DBAPI connection filelike handle Modifying formatting in XlsxWriter output 7.9.4 HTML Reading HTML tables from a server that cannot handle the default request header 7.9.5 HDFStore The HDFStores docs Simple Queries account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. jupyter iPython notebook on remote host) dialect : {‘legacy’, ‘standard’}, default

All databases supported by SQLAlchemy can be used, such as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of SQLAlchemy on included dialects). The functionality of providing DBAPI connection pandas: powerful Python data analysis toolkit, Release 0.21.1 7.9.4 HTML Reading HTML tables from a server that cannot handle the default request header 7.9.5 HDFStore The HDFStores docs Simple Queries account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. jupyter iPython notebook on remote host) dialect : {‘legacy’, ‘standard’}, default

from a filelike handle Modifying formatting in XlsxWriter output HTML Reading HTML tables from a server that cannot handle the default request header HDFStore The HDFStores docs Simple queries with account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. Jupyter/IPython notebook on remote host). verbose [None, deprecated] Deprecated account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. Jupyter/IPython notebook on remote host). See also: pandas_gbq.to_gbq This

pandas: powerful Python data analysis toolkit, Release 0.25.1 HTML Reading HTML tables from a server that cannot handle the default request header HDFStore The HDFStores docs Simple queries with account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. Jupyter/IPython notebook on remote host). verbose [None, deprecated] Deprecated account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. Jupyter/IPython notebook on remote host). See also: pandas_gbq.to_gbq This

All databases supported by SQLAlchemy can be used, such as PostgreSQL, MySQL, Oracle, Microsoft SQL server (see documentation of SQLAlchemy on included dialects). The functionality of providing DBAPI connection with SQL 7.9.3 Excel The Excel docs Reading from a filelike handle Reading HTML tables from a server that cannot handle the default request header 7.9.4 HDFStore The HDFStores docs 7.9. Data In/Out

from a filelike handle Modifying formatting in XlsxWriter output HTML Reading HTML tables from a server that cannot handle the default request header HDFStore The HDFStores docs Simple Queries with account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. Jupyter/IPython notebook on remote host). verbose [None, deprecated] Deprecated account private key in JSON format. Can be file path or string contents. This is useful for remote server authentication (eg. Jupyter/IPython notebook on remote host). See also: pandas_gbq.to_gbq This

Using the tips dataset again, let’s find the average gratuity by size of the party and sex of the server. In Excel, we use the following configuration for the PivotTable: The equivalent in pandas: In output Loading only visible sheets GH19842#issuecomment-892150745 HTML Reading HTML tables from a server that cannot handle the default request header 1026 Chapter 2. User Guide pandas: powerful Python that connects to the internet due to flakiness of network connections and lack of ownership of the server that is being connected to. If network connectivity is absolutely required, use the tm.network decorator