Installing from the git repository requires a recent installation of Cython as the cythonized C sources are no longer checked into source control. Released source distributions will contain the built C -1.281247 4 -0.727707 -0.121306 -0.097883 Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Note: These methods were previously Reader Functions from pandas.io.data extract data from various Internet sources into a DataFrame. Currently the fol- lowing sources are supported: • Yahoo! Finance • Google Finance • St. Louis FED (FRED)

Installing from the git repository requires a recent installation of Cython as the cythonized C sources are no longer checked into source control. Released source distributions will contain the built C Lesson: - Converting between different kinds of formats • 11 - Lesson: - Combining data from various sources 6.4 Excel charts with pandas, vincent and xlsxwriter • Using Pandas and XlsxWriter to create Excel -0.172372 -0.734129 [5 rows x 3 columns] Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Warning: In 0.13, pickle preserves

Installing from the git repository requires a recent installation of Cython as the cythonized C sources are no longer checked into source control. Released source distributions will contain the built C Lesson: - Converting between different kinds of formats • 11 - Lesson: - Combining data from various sources 6.4 Excel charts with pandas, vincent and xlsxwriter • Using Pandas and XlsxWriter to create Excel Python data analysis toolkit, Release 0.14.0 Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Warning: In 0.13, pickle preserves

Installing from the git repository requires a recent installation of Cython as the cythonized C sources are no longer checked into source control. Released source distributions will contain the built C Lesson: - Converting between different kinds of formats • 11 - Lesson: - Combining data from various sources 6.4 Practical data analysis with Python This guide is a comprehensive introduction to the data -1.210543 4 -1.175743 -0.172372 -0.734129 Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Warning: Several internal refactorings

Installing from the git repository requires a recent installation of Cython as the cythonized C sources are no longer checked into source control. Released source distributions will contain the built C Lesson: - Converting between different kinds of formats • 11 - Lesson: - Combining data from various sources 6.4 Excel charts with pandas, vincent and xlsxwriter • Using Pandas and XlsxWriter to create Excel -1.210543 4 -1.175743 -0.172372 -0.734129 Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Warning: Several internal refactorings

Lesson: - Converting between different kinds of formats • 11 - Lesson: - Combining data from various sources 7.4 Practical data analysis with Python This guide is a comprehensive introduction to the data -1.210543 4 -1.175743 -0.172372 -0.734129 Warning: Loading pickled data received from untrusted sources can be unsafe. See: http://docs.python.org/2.7/library/pickle.html Warning: Several internal refactorings from pandas.io.data and pandas.io.ga extract data from various Internet sources into a DataFrame. Currently the following sources are supported: • Yahoo! Finance • Google Finance • St.Louis FED (FRED)

the integration with many file formats or data sources out of the box (csv, excel, sql, json, parquet,...). Importing data from each of these data sources is provided by function with the prefix read_* psycopg2 2.7 PostgreSQL engine for sqlalchemy pymysql 0.8.1 MySQL engine for sqlalchemy Other data sources Dependency Minimum Version Notes PyTables 3.5.1 HDF5-based reading / writing blosc 1.17.0 Compression stored as a csv file into a pandas DataFrame. pandas supports many different file formats or data sources out of the box (csv, excel, sql, json, parquet, ...), each of them with the prefix read_*. Make

the integration with many file formats or data sources out of the box (csv, excel, sql, json, parquet,...). Importing data from each of these data sources is provided by function with the prefix read_* psycopg2 2.7 PostgreSQL engine for sqlalchemy pymysql 0.8.1 MySQL engine for sqlalchemy Other data sources Dependency Minimum Version Notes PyTables 3.5.1 HDF5-based reading / writing blosc 1.17.0 Compression stored as a csv file into a pandas DataFrame. pandas supports many different file formats or data sources out of the box (csv, excel, sql, json, parquet, ...), each of them with the prefix read_*. Make

the integration with many file formats or data sources out of the box (csv, excel, sql, json, parquet,...). Importing data from each of these data sources is provided by function with the prefix read_* psycopg2 2.7 PostgreSQL engine for sqlalchemy pymysql 0.8.1 MySQL engine for sqlalchemy Other data sources Dependency Minimum Version Notes PyTables 3.5.1 HDF5-based reading / writing blosc 1.17.0 Compression stored as a csv file into a pandas DataFrame. pandas supports many different file formats or data sources out of the box (csv, excel, sql, json, parquet, ...), each of them with the prefix read_*. Make

the integration with many file formats or data sources out of the box (csv, excel, sql, json, parquet,...). Importing data from each of these data sources is provided by function with the prefix read_* stored as a csv file into a pandas DataFrame. pandas supports many different file formats or data sources out of the box (csv, excel, sql, json, parquet, ...), each of them with the prefix read_*. Make DataFrame is provided as well. • Getting data in to pandas from many different file formats or data sources is supported by read_* functions. • Exporting data out of pandas is provided by different to_*methods