flat file (GH242) • Added ability to join on multiple columns in DataFrame.join (GH214) • Added private _get_duplicates function to Index for identifying duplicate values more easily (ENH5c) • Added column documentation. Running Google BigQuery Integration Tests You will need to create a Google BigQuery private key in JSON format in order to run Google BigQuery integration tests on your local machine and on txt, in an otherwise empty commit. DO NOT commit the *.json file which contains your unencrypted private key. 6. Your branch should be tested automatically once it is pushed. You can check the status by

flat file (GH242) • Added ability to join on multiple columns in DataFrame.join (GH214) • Added private _get_duplicates function to Index for identifying duplicate values more easily (ENH5c) • Added column documentation. Running Google BigQuery Integration Tests You will need to create a Google BigQuery private key in JSON format in order to run Google BigQuery integration tests on your local machine and on gbq.read_gbq(query, project_id=None, index_col=None, col_order=None, reauth=False, verbose=True, private_key=None, dialect=’legacy’) Load data from Google BigQuery. THIS IS AN EXPERIMENTAL LIBRARY The

Furthermore, the pandas.core, pandas.compat, and pandas.util top-level modules are now considered to be PRIVATE. If indicated, a deprecation warning will be issued if you reference theses modules. (GH12588) 1 The modules in pandas.util: decorators, print_versions, doctools, validators, depr_module are now private. Only the functions exposed in pandas.util itself are public (GH16223) 1.3.3.2 pandas.errors We flat file (GH242) • Added ability to join on multiple columns in DataFrame.join (GH214) • Added private _get_duplicates function to Index for identifying duplicate values more easily (ENH5c) • Added column

Furthermore, the pandas.core, pandas.compat, and pandas.util top-level modules are now considered to be PRIVATE. If indicated, a deprecation warning will be issued if you reference theses modules. (GH12588) Previous The modules in pandas.util: decorators, print_versions, doctools, validators, depr_module are now private. Only the functions exposed in pandas.util itself are public (GH16223) 34 Chapter 1. What’s New flat file (GH242) • Added ability to join on multiple columns in DataFrame.join (GH214) • Added private _get_duplicates function to Index for identifying duplicate values more easily (ENH5c) • Added column

Furthermore, the pandas.core, pandas.compat, and pandas.util top-level modules are now considered to be PRIVATE. If indicated, a deprecation warning will be issued if you reference theses modules. (GH12588) 64 The modules in pandas.util: decorators, print_versions, doctools, validators, depr_module are now private. Only the functions exposed in pandas.util itself are public (GH16223) 1.5.3.2 pandas.errors We flat file (GH242) • Added ability to join on multiple columns in DataFrame.join (GH214) • Added private _get_duplicates function to Index for identifying duplicate values more easily (ENH5c) • Added column

dashboards. Plotly is free for unlimited sharing, and has cloud, offline, or on-premise accounts for private use. 5.2.7 QtPandas Spun off from the main pandas library, the qtpandas library enables DataFrame types in pandas. Warning: The pandas.core, pandas.compat, and pandas.util top-level modules are PRIVATE. Sta- ble functionality in such modules is not guaranteed. {{ header }} 6.1 Input/output 6.1.1 lse, dialect=None, location=None, configuration=None, credentials=None, use_bqstorage_api=None, private_key=None, verbose=None) Load data from Google BigQuery. This function requires the pandas-gbq package

dashboards. Plotly is free for unlimited sharing, and has cloud, offline, or on-premise accounts for private use. 5.2.7 QtPandas Spun off from the main pandas library, the qtpandas library enables DataFrame types in pandas. Warning: The pandas.core, pandas.compat, and pandas.util top-level modules are PRIVATE. Sta- ble functionality in such modules is not guaranteed. {{ header }} 6.1 Input/output 6.1.1 lse, dialect=None, location=None, configuration=None, credentials=None, use_bqstorage_api=None, private_key=None, verbose=None) Load data from Google BigQuery. This function requires the pandas-gbq package

flat file (GH242) • Added ability to join on multiple columns in DataFrame.join (GH214) • Added private _get_duplicates function to Index for identifying duplicate values more easily (ENH5c) • Added column expression (so not using numexpr filtering, but isin filtering) – Internally, change all variables to be private-like (now have leading underscore) – Fixes for query parsing to correctly interpret boolean and flat file (GH242) • Added ability to join on multiple columns in DataFrame.join (GH214) • Added private _get_duplicates function to Index for identifying duplicate values more easily • Added column attribute

flat file (GH242) • Added ability to join on multiple columns in DataFrame.join (GH214) • Added private _get_duplicates function to Index for identifying duplicate values more easily (ENH5c) • Added column documented in “Guide to NumPy” (we have omitted undocumented public attributes, as well as documented private attributes): •data: A pointer to the memory area of the array as a Python integer. This memory area documented in “Guide to NumPy” (we have omitted undocumented public attributes, as well as documented private attributes): •data: A pointer to the memory area of the array as a Python integer. This memory area

removed (GH10892) • Series.repeat() has renamed the reps argument to repeats (GH14645) • Several private functions were removed from the (non-public) module pandas.core.common (GH22001) • Removal of the dashboards. Plotly is free for unlimited sharing, and has cloud, offline, or on-premise accounts for private use. 5.2.7 QtPandas Spun off from the main pandas library, the qtpandas library enables DataFrame types in pandas. Warning: The pandas.core, pandas.compat, and pandas.util top-level modules are PRIVATE. Sta- ble functionality in such modules is not guaranteed. 6.1 Input/Output 6.1.1 Pickling read_pickle(path[