Add a file as an item

New item window showing the process of uploading files to ArcGIS.

Adding files as new items to the portal is a simple process that allows you to upload various types of data, such as shapefiles, CSV files, imagery, and more. By adding these files as items, you can use the portal's mapping and analysis capabilities to visualize, analyze, and share spatial data. This process enhances data accessibility, and helps with collaboration and decision-making across organizations by adding and sharing geospatial information in ArcGIS.

Supported file types

Various types of files can be added to the portal including:

Shapefiles (.shp).
CSV files (.csv).
TXT files (.txt).
GPX files (.gpsx).
Raster datasets (.tiff, .png, .jpg, etc.).
Vector tile packages.
Scene layer packages.

These files can be used to create layers and maps using Map Viewer enabling users to visualize and analyze geospatial data. Additionally, the supported data types support a wide range of formats such as:

CAD datasets.
Excel worksheets.
LAS datasets.
Function rasters.
TIN datasets.

The flexibility in supported file types allows users to work with various data sources and formats to enhance their spatial analysis and mapping capabilities.

How to add files

Below is an example of adding a Microsoft Excel spreadsheet to the portal.

To add an Excel file, you can follow these step-by-step instructions:

Click Contents > New Item.
You can either drag and drop the Excel file you want to add or choose it from your device by browsing to its location.
Verify the location fields in the Excel file have been correctly identified.
- For example: Ensure longitude and latitude information or address information is correctly configured.
Provide information for the Excel file like title, tags, and summary.
Select a folder where you want to save the item in your account.
Save the changes.

An example to automate the process of adding an Excel file as an item to your portal.

ArcGIS API for Python

ArcGIS REST JS

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Use dark colors for code blocksCopy
# Path to your Excel file
excel_file_path = "path_to_your_excel_file.xlsx"

# Read the Excel file using pandas
data_frame = pd.read_excel(excel_file_path)

# Configure longitude and latitude fields
longitude_field = "Longitude"  # Replace with actual longitude field name
latitude_field = "Latitude"    # Replace with actual latitude field name

# Create a spatial DataFrame using longitude and latitude fields
data_frame.spatial.set_geometry(longitude_field, latitude_field)

# Publish the Excel data as a feature layer
item_properties = {
    "title": "Excel Data with Spatial Information",
    "tags": "excel, data, spatial",
    "type": "Microsoft Excel"
}

item = gis.content.add(item_properties, data=data_frame)
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API support

	Search	Items	Users	Groups	Settings	Security
ArcGIS Maps SDK for JavaScript			¹	¹	¹	¹
ArcGIS Maps SDK for .NET			¹	¹	¹	¹
ArcGIS Maps SDK for Kotlin			¹	¹	¹	¹
ArcGIS Maps SDK for Swift			¹	¹	¹	¹
ArcGIS Maps SDK for Java			¹	¹	¹	¹
ArcGIS Maps SDK for Qt			¹	¹	¹	¹
ArcGIS API for Python
ArcGIS REST JS
Esri Leaflet	²	²	²	²	²	²
MapLibre GL JS	²	²	²	²	²	²
OpenLayers	²	²	²	²	²	²

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1. Limited operations, use HTTP requests.
2. Access via ArcGIS REST JS.

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