iris#
iris is a Jupyter Notebook extension for 1010data. With the use of iris, you can use familiar data analysis tools, such as Python's pandas library, R, and SQL, to access 1010data within Jupyter Notebook. You can also use 1010data's own Macro Language or 1010data's pandas-like library, TenFrame.
No matter the tool you prefer, you can analyze your data in Jupyter notebook and output a 1010data grid displaying your data.
Contents#
- Installing iris
- Basic usage
- Command reference
- Line magic commands
%ten_advanced_settings%ten_clearcache%ten_company_manager%ten_config%ten_dir%ten_filter_manager%ten_get_config%ten_get_ses%ten_group_manager%ten_help%ten_iris_version%ten_login%ten_role_manager%ten_scheduler%ten_server_py_version%ten_server_r_version%ten_set_ses%ten_user_manager%ten_user_profile%ten_wsmeter%ten_recent_sessions%ten_trs%ten_ppa%ten_sql_metadata_tool%ten_table_importer%ten_tag_inspector%ten_quickapp_profiler
- Cell magic commands
- Line magic commands
- iris reference
IrisIris.ten_advanced_settings()Iris.ten_calculator()Iris.ten_clearcache()Iris.ten_company_manager()Iris.ten_config()Iris.ten_dir()Iris.ten_filter_manager()Iris.ten_get_config()Iris.ten_get_ses()Iris.ten_group_manager()Iris.ten_help()Iris.ten_image_encoder()Iris.ten_iris_version()Iris.ten_login()Iris.ten_ppa()Iris.ten_py_stream()Iris.ten_query()Iris.ten_quickapp()Iris.ten_quickapp_profiler()Iris.ten_r_stream()Iris.ten_recent_sessions()Iris.ten_role_manager()Iris.ten_save_query()Iris.ten_scheduler()Iris.ten_server_py_version()Iris.ten_server_r_version()Iris.ten_set_ses()Iris.ten_sql()Iris.ten_sql_metadata_tool()Iris.ten_table_importer()Iris.ten_tag_inspector()Iris.ten_trs()Iris.ten_user_manager()Iris.ten_user_profile()Iris.ten_wsmeter()
- Changelog