{"id":2092772,"date":"2023-10-04T13:13:55","date_gmt":"2023-10-04T20:13:55","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2092772"},"modified":"2025-04-18T11:42:56","modified_gmt":"2025-04-18T18:42:56","slug":"whats-new-in-arcgis-api-for-python-2-2-0-september-2023","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/developers\/whats-new-in-arcgis-api-for-python-2-2-0-september-2023","title":{"rendered":"What’s New in ArcGIS API for Python 2.2.0 (September 2023)"},"author":290632,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[738191],"tags":[],"industry":[],"product":[36841,761642],"class_list":["post-2092772","blog","type-blog","status-publish","format-standard","hentry","category-developers","product-api-python","product-platform"],"acf":{"short_description":"Check out this What's New blog to review the latest updates for ArcGIS API for Python version 2.2.0. ","flexible_content":[{"acf_fc_layout":"content","content":"

The ArcGIS API for Python<\/span>\u00a0<\/span>version 2.2.0 <\/span>was released <\/span>on September 25, 2023. \u00a0The primary focus of this release is dependency upgrades and bug fixes, but we\u2019ve also added several new pieces of functionality. <\/span>\u00a0<\/span>You can <\/span>find<\/span> the <\/span>full release notes here<\/a>; <\/span>in this blog, we<\/span>\u00a0<\/span>highlight<\/span> some of the<\/span> major themes and common workflows.<\/span>\u00a0<\/span><\/p>\n

Experience Builder support<\/span><\/b>\u00a0<\/span><\/h2>\n

In 2.2.0, we have introduced an entire module dedicated to working with <\/span>ArcGIS Experience Builder<\/span><\/a>. Managing Experiences via automation has been a popular user request, and we are excited to bring the first version of this functionality. Using the <\/span>WebExperience<\/span><\/i> class, users can perform a variety of operations on both portal and local Experiences, such as creation, saving, publishing, deletion, cloning, previewing, and more. Read more about it in this <\/span>Guide<\/span><\/a>\u00a0and the <\/span>API Reference<\/span><\/a>.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2093652,"id":2093652,"title":"b78a91b6-f51e-40e6-aeda-0c6e9b95ac51","filename":"b78a91b6-f51e-40e6-aeda-0c6e9b95ac51.jpg","filesize":65112,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2013\/10\/b78a91b6-f51e-40e6-aeda-0c6e9b95ac51.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/developers\/whats-new-in-arcgis-api-for-python-2-2-0-september-2023\/b78a91b6-f51e-40e6-aeda-0c6e9b95ac51","alt":"","author":"290632","description":"","caption":"Publishing and viewing an Experience using the ArcGIS API for Python","name":"b78a91b6-f51e-40e6-aeda-0c6e9b95ac51","status":"inherit","uploaded_to":2092772,"date":"2023-10-05 18:01:36","modified":"2023-10-05 18:01:49","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":800,"height":771,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2013\/10\/b78a91b6-f51e-40e6-aeda-0c6e9b95ac51-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2013\/10\/b78a91b6-f51e-40e6-aeda-0c6e9b95ac51.jpg","medium-width":271,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2013\/10\/b78a91b6-f51e-40e6-aeda-0c6e9b95ac51.jpg","medium_large-width":768,"medium_large-height":740,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2013\/10\/b78a91b6-f51e-40e6-aeda-0c6e9b95ac51.jpg","large-width":800,"large-height":771,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2013\/10\/b78a91b6-f51e-40e6-aeda-0c6e9b95ac51.jpg","1536x1536-width":800,"1536x1536-height":771,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2013\/10\/b78a91b6-f51e-40e6-aeda-0c6e9b95ac51.jpg","2048x2048-width":800,"2048x2048-height":771,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2013\/10\/b78a91b6-f51e-40e6-aeda-0c6e9b95ac51-482x465.jpg","card_image-width":482,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2013\/10\/b78a91b6-f51e-40e6-aeda-0c6e9b95ac51.jpg","wide_image-width":800,"wide_image-height":771}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Core API<\/span><\/b>\u00a0<\/span><\/h2>\n

Like many libraries in the Python ecosystem, the ArcGIS API for Python relies on a number of dependencies behind the scenes.\u00a0 In this release, a major effort for the team was upgrading several of these dependences to strengthen the security and overall performance of the API.\u00a0 As an example, the upgrade to <\/span>Pandas 2.0.0<\/span><\/a> makes the API compatible with all <\/span>pandas dtypes<\/span><\/a>, including the low-memory NumPy dtypes that make DataFrame indices more efficient.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

We have also added support for Python versions 3.9 – 3.11, so you can take advantage of the speed and performance improvements of the core Python language when using the ArcGIS API for Python.<\/span>\u00a0<\/span><\/p>\n

Administration<\/span><\/b>\u00a0<\/span><\/h2>\n

GIS administrators are always looking for ways to automate and simplify complex operations, so we have added new classes, methods, and properties to help them do just that.\u00a0 For ArcGIS Enterprise on Kubernetes deployments, administrators can now <\/span>export()<\/span><\/i> the organization logs based on desired parameters to help with troubleshooting, and manage access to external content with a new <\/span>ExternalContentManager<\/span><\/i> object.\u00a0<\/span>\u00a0<\/span><\/p>\n

ArcGIS Online administrators can now also use the <\/span>DataStoreMetricsManager<\/span><\/i> to get resource usage information and a variety of different feature data store statistics. Administrators can also quickly duplicate the appearance of an entire organization with the <\/span>clone()<\/span><\/i> method of the <\/span>UX <\/span><\/i>class, allowing for immediate or offline staging of organizations without having to individually configure settings.\u00a0 These are just a few examples from the long list of updates for administrators, so check out the <\/span>admin submodule<\/span><\/a> section of the 2.2.0 release notes for the full slate!<\/span>\u00a0<\/span><\/p>\n

Content Management<\/span><\/b>\u00a0<\/span><\/h2>\n

We know that many of our customers use the Python API to help them quickly and efficiently manage their web GIS content.\u00a0 This fundamental theme drives many of our development projects when considering new releases.\u00a0 Here are a select few\u2026<\/span>\u00a0<\/span><\/p>\n

Content migration has become more robust as Survey123, StoryMap, WebScene, ExperienceBuilder, and ArcGIS Dashboard items are now supported by the <\/span>clone_items()<\/span><\/i> method.\u00a0 Additionally, we have added the new <\/span>favorite<\/span><\/i> property to help you organize and access your most frequently used items\u2014think of this as a bookmark to your most routinely used content.\u00a0 And for our customers who use the API for raster workflows, we have added more capabilities to work with STAC datasets in the <\/span>RasterCollection.from_stac_api()<\/span><\/i> and <\/span>Raster.from_stac_item()<\/span><\/i> methods.<\/span>\u00a0<\/span><\/p>\n

GIS Services <\/span><\/b>\u00a0<\/span><\/h2>\n

One of the main roles of the Python API is to \u201cbe the API to your web GIS\u201d.\u00a0 As such, we pay close attention to updates and changes that occur within the larger ArcGIS system (e.g. ArcGIS Enterprise and Online), then add functionality to the API so you can leverage these updates and changes in a programmatic manner.\u00a0 In this release, we\u2019ve added support for new ArcGIS service datatypes such as <\/span>BigInteger<\/span><\/i>, <\/span>TimeOnly<\/span><\/i>, <\/span>DateOnly<\/span><\/i>, and <\/span>TimestampOffset<\/span><\/i>, and added a <\/span>PlacesAPI<\/span><\/i> class to support the new <\/span>Places service beta feature<\/span><\/a>.\u00a0 Expect to see additional functions and methods in this class after the Places service is released into the market!\u00a0<\/span>\u00a0<\/span><\/p>\n

ArcGIS Knowledge Graph support<\/span><\/b>\u00a0<\/span><\/h2>\n

This release also addresses another recurring user request: the ability to automate management of Knowledge Graphs through the ArcGIS API for Python. Users can now perform a host of operations when connecting to their Knowledge Graph servers, including adding\/ \/editing\/deleting entities and relationships, editing the data model, and performing advanced queries with bind parameters. More info can be found in our <\/span>3-part Guide<\/span><\/a> and in the <\/span>API Reference<\/span><\/a>.<\/span><\/i> Stay tuned for additional functionality and support in future Python API releases as the Knowledge Graph product grows.<\/span>\u00a0<\/span><\/p>\n

Analysis and Data Science<\/span><\/b>\u00a0<\/span><\/h2>\n

The <\/span>Spatially Enabled DataFrame (SeDF)<\/span><\/a> allows you to easily convert your ArcGIS feature layers, feature classes, shapefiles, GeoJSON, etc. into <\/span>pandas DataFrames<\/span><\/a>, which makes it a powerful bridge between ArcGIS and the Python data science ecosystem.\u00a0 Because of this, we listen to your feedback and work hard to hone its capabilities with each release.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

In version 2.2.0, we have added the ability to compare and test for equality between two SeDFs using an implementation of the pandas <\/span>DataFrame.eq()<\/span><\/i><\/a> function in the Python API\u2019s <\/span>GeoAccessor<\/span><\/i> class. \u00a0This type of functionality can be handy for tasks such as comparing your copy of a SeDF to a master version, or checking to see if a new version of a SeDF has any updated cell values, new rows, or new columns. \u00a0We have also expanded our SeDF\/big data integration story by adding the \u00a0<\/span>GeoDaskSpatialAccessor<\/span><\/i> and <\/span>GeoDaskSeriesAccessor<\/span><\/i> classes, which bring the parallel processing capabilities of <\/span>Dask DataFrames<\/span><\/a> to the Spatially Enabled DataFrame.<\/span>\u00a0<\/span><\/p>\n

As always, we continue to innovate and evolve in the area of GeoAI (machine learning and deep learning) by adding new functionality to the <\/span>arcgis.learn<\/span><\/i><\/a> module of the Python API.\u00a0 Some highlights in this release include:<\/span>\u00a0<\/span><\/p>\n