Considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1001 26 Remote Data Access 1005 26.1 DataReader . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore is now iterable: for k in store machine: git clone git@github.com:your-user-name/pandas.git pandas-yourname cd pandas-yourname git remote add upstream git://github.com/pydata/pandas.git This creates the directory pandas-yourname and connects

Considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1003 26 Remote Data Access 1007 26.1 DataReader . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore is now iterable: for k in store machine: git clone git@github.com:your-user-name/pandas.git pandas-yourname cd pandas-yourname git remote add upstream git://github.com/pandas-dev/pandas.git This creates the directory pandas-yourname and

parser engine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1022 24.1.25 Reading remote files . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1023 24.1.26 Writing Considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1101 25 Remote Data Access 1105 25.1 DataReader . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore is now iterable: for k in store

parser engine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1018 24.1.25 Reading remote files . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1018 24.1.26 Writing Considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1100 25 Remote Data Access 1103 25.1 DataReader . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore is now iterable: for k in store

parser engine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1057 24.1.25 Reading remote files . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1058 24.1.26 Writing Considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1136 25 Remote Data Access 1141 25.1 DataReader . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . • Added Google BigQuery service account authentication support, which enables authentication on remote servers. (GH11881, GH12572). For further details see here • HDFStore is now iterable: for k in store

Considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 848 25 Remote Data Access 851 v 25.1 Yahoo! Finance . . . . . . . . . . . . . . . . . . . . . . . . . . . . AAPL151023C00112000 1.85 2015-10-30 call AAPL151030C00112000 3.85 See the Options documentation in Remote Data • pandas now also registers the datetime64 dtype in matplotlib’s units registry to plot such machine: git clone git@github.com:your-user-name/pandas.git pandas-yourname cd pandas-yourname git remote add upstream git://github.com/pydata/pandas.git This creates the directory pandas-yourname and connects

Considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 733 24 Remote Data Access 737 24.1 Yahoo! Finance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . AAPL141220C00114000 1.50 2014-12-26 call AAPL141226C00114000 2.01 See the Options documentation in Remote Data • pandas now also registers the datetime64 dtype in matplotlib’s units registry to plot such analysis toolkit, Release 0.15.2 736 Chapter 23. IO Tools (Text, CSV, HDF5, ...) CHAPTER TWENTYFOUR REMOTE DATA ACCESS Functions from pandas.io.data and pandas.io.ga extract data from various Internet sources

Considerations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 719 24 Remote Data Access 723 24.1 Yahoo! Finance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . AAPL141122C00110000 1.02 2014-11-28 call AAPL141128C00110000 1.32 See the Options documentation in Remote Data • pandas now also registers the datetime64 dtype in matplotlib’s units registry to plot such analysis toolkit, Release 0.15.1 722 Chapter 23. IO Tools (Text, CSV, HDF5, ...) CHAPTER TWENTYFOUR REMOTE DATA ACCESS Functions from pandas.io.data extract data from various Internet sources into a DataFrame

produce a ParserWarning unless the python engine is selected explicitly using engine='python'. Reading remote files You can pass in a URL to a CSV file: df = pd.read_csv('https://download.bls.gov/pub/time Sphinx both automatically and on-demand. 5.4 API 5.4.1 pandas-datareader pandas-datareader is a remote data access library for pandas (PyPI:pandas-datareader). It is based on functionality that was located 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 in pandas-gbq version

produce a ParserWarning unless the python engine is selected explicitly using engine='python'. Reading remote files You can pass in a URL to a CSV file: df = pd.read_csv('https://download.bls.gov/pub/time Sphinx both automatically and on-demand. 5.4 API 5.4.1 pandas-datareader pandas-datareader is a remote data access library for pandas (PyPI:pandas-datareader). It is based on functionality that was located 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 in pandas-gbq version