"},{"ID":358272,"user_firstname":"Halle","user_lastname":"Martinucci","nickname":"Halle Martinucci","user_nicename":"hmartinucci","display_name":"Halle Martinucci","user_email":"hmartinucci@esri.com","user_url":"","user_registered":"2024-06-18 18:43:42","user_description":"Halle is an Associate Product Marketing Manager on Esri\u2019s Spatial Analytics & Data Science team.","user_avatar":"
"}],"short_description":"This blog details the steps for installing and using the ArcGIS API for Python in a Databricks Notebook on Azure.","flexible_content":[{"acf_fc_layout":"content","content":"The ArcGIS API for Python<\/strong><\/a> is a Python library that you can use to script and automate GIS workflows in ArcGIS Online and ArcGIS Enterprise.\u00a0 These workflows include administering your Web GIS, managing your organization\u2019s data and content, visualizing GIS data and making web maps, and performing spatial analysis and data science.<\/p>\n While we recommend using the ArcGIS API for Python in ArcGIS Notebooks<\/strong><\/a> for consistency and compatibility reasons, we know that some of our customers want to install it via package managers<\/a><\/strong> and use it in Jupyter Notebooks, Visual Studio Code, PyCharm, Spyder, or whatever other IDE they prefer.<\/p>\n Recently, we\u2019ve heard from several customers who are interested in installing and using the ArcGIS API for Python in Databricks Notebooks.\u00a0 The following sections walk you through the steps for getting this up and running in Microsoft Azure.<\/p>\n Databricks<\/a><\/strong> is a cloud-based, scalable lakehouse platform that enables organizations to use their data, analytics, and AI.\u00a0 It seamlessly integrates with the storage and security in your cloud account and deploys and manages cloud infrastructure on your behalf.<\/p>\n One of the key features of Databricks is their Notebook offering<\/strong><\/a>.\u00a0 These notebooks are fully managed (e.g. \u201chosted\u201d) and come with a runtime containing pre-installed Python libraries<\/a><\/strong>. \u00a0You also have the option to customize these runtimes by installing third-party or custom Python libraries, which in our case will be the ArcGIS API for Python.<\/p>\n There are two primary ways to install Python libraries in Databricks: Compute-scoped libraries<\/a><\/strong> and notebook-scoped libraries<\/a><\/strong>.<\/p>\n Compute-scoped libraries are installed at the Databricks cluster-level, are available to all notebooks and jobs running on that cluster, and persist across the cluster even after it is terminated.\u00a0 Notebook-scoped libraries are installed at the notebook-level, and are available only in that notebook during the notebook session.\u00a0 They are not available to other notebooks running on the cluster, and do not persist within a notebook after the session has been terminated.<\/p>\n"},{"acf_fc_layout":"sidebar","content":" Note:<\/strong> You can skip down to Section 1c if you want to install the ArcGIS API for Python directly in a notebook (notebook-scoped installation).<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false},{"acf_fc_layout":"content","content":" 1a. Compute-scoped library installation steps<\/span><\/p>\n Note:<\/strong> At the time of writing this blog (August 2025), 2.4.1 was the current version of the ArcGIS API for Python.\u00a0 Please refer to the documentation<\/a><\/strong> for the current release version.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false},{"acf_fc_layout":"content","content":" Once you see the green check under Status<\/strong>, you are ready to use the ArcGIS API for Python in any notebook that you attach to this cluster.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2928821,"id":2928821,"title":"installed","filename":"installed.png","filesize":112313,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/installed.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/new-use-the-arcgis-api-for-python-in-databricks-notebooks\/installed","alt":"","author":"154341","description":"","caption":"","name":"installed","status":"inherit","uploaded_to":2746412,"date":"2025-08-13 19:11:51","modified":"2025-08-13 19:11:51","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1913,"height":653,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/installed-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/installed.png","medium-width":464,"medium-height":158,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/installed.png","medium_large-width":768,"medium_large-height":262,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/installed.png","large-width":1913,"large-height":653,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/installed-1536x524.png","1536x1536-width":1536,"1536x1536-height":524,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/installed.png","2048x2048-width":1913,"2048x2048-height":653,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/installed-826x282.png","card_image-width":826,"card_image-height":282,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/installed.png","wide_image-width":1913,"wide_image-height":653}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" 1b. Creating a notebook in Databricks <\/u><\/p>\n This may take a few moments.\u00a0 When the cluster is attached, the cluster name will appear as shown below.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2928851,"id":2928851,"title":"connected_notebook","filename":"connected_notebook.png","filesize":44840,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/connected_notebook.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/new-use-the-arcgis-api-for-python-in-databricks-notebooks\/connected_notebook","alt":"","author":"154341","description":"","caption":"","name":"connected_notebook","status":"inherit","uploaded_to":2746412,"date":"2025-08-13 19:13:39","modified":"2025-08-13 19:13:39","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":683,"height":491,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/connected_notebook-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/connected_notebook.png","medium-width":363,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/connected_notebook.png","medium_large-width":683,"medium_large-height":491,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/connected_notebook.png","large-width":683,"large-height":491,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/connected_notebook.png","1536x1536-width":683,"1536x1536-height":491,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/connected_notebook.png","2048x2048-width":683,"2048x2048-height":491,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/connected_notebook-647x465.png","card_image-width":647,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/connected_notebook.png","wide_image-width":683,"wide_image-height":491}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" 1c. Notebook-scoped library installation steps<\/u><\/p>\n Note:<\/strong> At the time of writing this blog (August 2025), 2.4.1 was the current version of the ArcGIS API for Python.\u00a0 Please refer to the documentation<\/a><\/strong> for the current release version.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false},{"acf_fc_layout":"content","content":" Now you are ready to connect to your GIS and start using the ArcGIS API for Python.\u00a0 Happy scripting!<\/p>\n 2. Use the ArcGIS API for Python in a Databricks Notebook<\/strong><\/p>\n Among the thousands of ways you can use the ArcGIS API for Python a Databricks notebook, here is one simple workflow for reading a ArcGIS Online layer as a Pandas DataFrame.\u00a0 The high-level steps include:<\/p>\n In the Proclaimed Forest Boundaries<\/a><\/strong> DataFrame, we can see that there are 90 rows and 7 columns.\u00a0 As a quick example, let\u2019s run a few more lines of code to clean up some of the column names, create a subset of only the forests that are larger than 1 million acres, and then publish this subset as a feature layer back to ArcGIS Online.<\/p>\n Here we use the .columns<\/a><\/em><\/strong> property to list out the columns of a Pandas DataFrame.\u00a0 We then use the .rename<\/a><\/em><\/strong> function to rename the columns to something we find more appropriate.\u00a0 In our case, we have changed the column names from uppercase to Proper Case.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2928901,"id":2928901,"title":"cleaning_1","filename":"cleaning_1.png","filesize":151363,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/new-use-the-arcgis-api-for-python-in-databricks-notebooks\/cleaning_1","alt":"","author":"154341","description":"","caption":"","name":"cleaning_1","status":"inherit","uploaded_to":2746412,"date":"2025-08-13 19:18:09","modified":"2025-08-13 19:18:09","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1551,"height":877,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_1.png","medium-width":462,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_1.png","medium_large-width":768,"medium_large-height":434,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_1.png","large-width":1551,"large-height":877,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_1-1536x869.png","1536x1536-width":1536,"1536x1536-height":869,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_1.png","2048x2048-width":1551,"2048x2048-height":877,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_1-822x465.png","card_image-width":822,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_1.png","wide_image-width":1551,"wide_image-height":877}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" Next, we can use a conditional expression to filter specific rows from a DataFrame<\/a><\/strong> into a new DataFrame.\u00a0 Here, we subset all Proclaimed Forest Areas that are larger than 1 million acres.\u00a0 This gives us a new DataFrame containing 58 of the original 90 rows.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2928911,"id":2928911,"title":"cleaning_2","filename":"cleaning_2.png","filesize":152401,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/new-use-the-arcgis-api-for-python-in-databricks-notebooks\/cleaning_2","alt":"","author":"154341","description":"","caption":"","name":"cleaning_2","status":"inherit","uploaded_to":2746412,"date":"2025-08-13 19:19:40","modified":"2025-08-13 19:19:40","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1540,"height":814,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_2.png","medium-width":464,"medium-height":245,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_2.png","medium_large-width":768,"medium_large-height":406,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_2.png","large-width":1540,"large-height":814,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_2-1536x812.png","1536x1536-width":1536,"1536x1536-height":812,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_2.png","2048x2048-width":1540,"2048x2048-height":814,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_2-826x437.png","card_image-width":826,"card_image-height":437,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/cleaning_2.png","wide_image-width":1540,"wide_image-height":814}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" Last, we\u2019ll convert our subset Spatially Enabled DataFrame to a feature layer in ArcGIS Online using the .to_featurelayer<\/a><\/em><\/strong> method.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2928921,"id":2928921,"title":"published_layer","filename":"published_layer.png","filesize":149068,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/published_layer.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/new-use-the-arcgis-api-for-python-in-databricks-notebooks\/published_layer","alt":"","author":"154341","description":"","caption":"","name":"published_layer","status":"inherit","uploaded_to":2746412,"date":"2025-08-13 19:20:11","modified":"2025-08-13 19:20:11","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1417,"height":459,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/published_layer-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/published_layer.png","medium-width":464,"medium-height":150,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/published_layer.png","medium_large-width":768,"medium_large-height":249,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/published_layer.png","large-width":1417,"large-height":459,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/published_layer.png","1536x1536-width":1417,"1536x1536-height":459,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/published_layer.png","2048x2048-width":1417,"2048x2048-height":459,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/published_layer-826x268.png","card_image-width":826,"card_image-height":268,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/published_layer.png","wide_image-width":1417,"wide_image-height":459}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"sidebar","content":" Note: <\/strong>Publishing a feature layer requires a geometry engine<\/a><\/strong>.\u00a0 If you receive an error message stating that you need to install an additional Python library (e.g. PyShp<\/a><\/strong>), please use the instructions for notebook-scoped library installation and then restart the kernel if prompted to do so.<\/p>\n","image_reference":false,"layout":"standard","image_reference_figure":"","snippet":"","spotlight_name":"","section_title":"","position":"Center","spotlight_image":false},{"acf_fc_layout":"content","content":" Back in our ArcGIS Online organization, we see our newly published hosted feature layer containing only the 58 Proclaimed Forest Boundaries that are larger than 1 million acres.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2928931,"id":2928931,"title":"feature_layer","filename":"feature_layer.png","filesize":122747,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/new-use-the-arcgis-api-for-python-in-databricks-notebooks\/feature_layer","alt":"","author":"154341","description":"","caption":"","name":"feature_layer","status":"inherit","uploaded_to":2746412,"date":"2025-08-13 19:20:57","modified":"2025-08-13 19:20:57","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1420,"height":354,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer.png","medium-width":464,"medium-height":116,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer.png","medium_large-width":768,"medium_large-height":191,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer.png","large-width":1420,"large-height":354,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer.png","1536x1536-width":1420,"1536x1536-height":354,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer.png","2048x2048-width":1420,"2048x2048-height":354,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer-826x206.png","card_image-width":826,"card_image-height":206,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer.png","wide_image-width":1420,"wide_image-height":354}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"image","image":{"ID":2928941,"id":2928941,"title":"feature_layer_data","filename":"feature_layer_data.png","filesize":103821,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer_data.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/new-use-the-arcgis-api-for-python-in-databricks-notebooks\/feature_layer_data","alt":"","author":"154341","description":"","caption":"","name":"feature_layer_data","status":"inherit","uploaded_to":2746412,"date":"2025-08-13 19:21:13","modified":"2025-08-13 19:21:13","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1824,"height":496,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer_data-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer_data.png","medium-width":464,"medium-height":126,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer_data.png","medium_large-width":768,"medium_large-height":209,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer_data.png","large-width":1824,"large-height":496,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer_data-1536x418.png","1536x1536-width":1536,"1536x1536-height":418,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer_data.png","2048x2048-width":1824,"2048x2048-height":496,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer_data-826x225.png","card_image-width":826,"card_image-height":225,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/feature_layer_data.png","wide_image-width":1824,"wide_image-height":496}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":" What about the map widget?<\/strong><\/p>\n Currently, Databricks Notebooks are not compatible with the map widget (the arcgis.map module<\/a><\/strong>). The map widget in the ArcGIS API for Python requires ipywidgets 8.x, while Databricks Notebooks currently supports ipywidgets up to version 7.7.2. You can still use the Map<\/em><\/a><\/strong> and Scene<\/a><\/strong><\/em> classes in your scripts, but there are no visualization capabilities at this time.<\/p>\n Community and collaboration<\/strong><\/p>\n You can use the ArcGIS API for Python Esri Community page<\/a><\/strong>\u00a0to ask specific questions, suggest ideas for enhancements and improvements, connect with other users, and read\u00a0recent blogs<\/a><\/strong>.\u00a0 You can also use the\u00a0ArcGIS API for Python public GitHub repo<\/a><\/strong> to submit bugs, enhancement requests, and other issues.\u00a0 The team monitors these pages very closely, and we use your feedback and suggestions to help us prioritize what we build into the API going forward!<\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n"}],"related_articles":"","show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/api-for-python-blog-CARD.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/api-for-python-blog-WIDE.png"},"yoast_head":"\nWhat is Databricks?<\/h3>\n
Steps to install and use ArcGIS API for Python in Microsoft Azure Databricks<\/h3>\n
Prerequisites<\/strong><\/h4>\n
\n
1. <\/strong>Install the ArcGIS API for Python<\/strong><\/h4>\n
\n
\n
arcgis == 2.4.1<\/code>.<\/strong><\/li>\n\n
\n
\n
!pip list<\/code><\/strong> to view the list of installed Python packages in the notebook runtime, and verify that the ArcGIS API for Python is one of them.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2928861,"id":2928861,"title":"pip_list","filename":"pip_list.png","filesize":93881,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/pip_list.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/new-use-the-arcgis-api-for-python-in-databricks-notebooks\/pip_list","alt":"","author":"154341","description":"","caption":"","name":"pip_list","status":"inherit","uploaded_to":2746412,"date":"2025-08-13 19:14:22","modified":"2025-08-13 19:14:22","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1600,"height":694,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/pip_list-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/pip_list.png","medium-width":464,"medium-height":201,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/pip_list.png","medium_large-width":768,"medium_large-height":333,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/pip_list.png","large-width":1600,"large-height":694,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/pip_list-1536x666.png","1536x1536-width":1536,"1536x1536-height":666,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/pip_list.png","2048x2048-width":1600,"2048x2048-height":694,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/pip_list-826x358.png","card_image-width":826,"card_image-height":358,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/pip_list.png","wide_image-width":1600,"wide_image-height":694}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"\n
!pip install arcgis==2.4.1<\/code> <\/strong>then run the cell.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2928871,"id":2928871,"title":"install_in_notebook","filename":"install_in_notebook.png","filesize":10194,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/install_in_notebook.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/api-python\/announcements\/new-use-the-arcgis-api-for-python-in-databricks-notebooks\/install_in_notebook","alt":"","author":"154341","description":"","caption":"","name":"install_in_notebook","status":"inherit","uploaded_to":2746412,"date":"2025-08-13 19:15:10","modified":"2025-08-13 19:15:10","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":652,"height":142,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/install_in_notebook-213x142.png","thumbnail-width":213,"thumbnail-height":142,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/install_in_notebook.png","medium-width":464,"medium-height":101,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/install_in_notebook.png","medium_large-width":652,"medium_large-height":142,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/install_in_notebook.png","large-width":652,"large-height":142,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/install_in_notebook.png","1536x1536-width":652,"1536x1536-height":142,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/install_in_notebook.png","2048x2048-width":652,"2048x2048-height":142,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/install_in_notebook.png","card_image-width":652,"card_image-height":142,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/04\/install_in_notebook.png","wide_image-width":652,"wide_image-height":142}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"\n
!pip list<\/code><\/strong> to view the list of installed Python packages in the notebook runtime, and verify that the ArcGIS API for Python is one of them.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"sidebar","content":"\n