![]() ![]() The Text Import Wizard has determined that your file does not have a header row. If your data has the names of the columns at the top of the file, check Has Header Row. ExpertGPS will analyze your CSV data and try to select the column delimiter automatically. One of these files, ExpertGPS will automatically recognize the file's header row and fill out the Text Import Wizard forĭelimiter Select the character that separates columns of data in your file. Once you have defined the settings forĪ particular data format in the Text Import Wizard, you can save these settings (in Step 3). You may work with several standard data formats in the course of your job. ![]() Make for the delimiter, header row, and coordinate format. The list at the bottom of the dialog displays a preview of the text data, and will change to reflect the choices you In the first step, you choose the character used to separate columns of data (comma, tab, etc) and specify the type of coordinates used in the text file. Step 1: Choose Text Delimiter and Coordinate Format To use the Import Text command, either copy and paste delimited data from Excel or another program into the Waypoint or Track List, or click Import CSV on the Convert menu and select a. Use the Import Text command to import waypoints and trackpoints stored in comma separated The Import Text command allows you to import delimited text files (CSV, tab-delimited, etc) from a spreadsheet or this time, use all the odd index values to update rows ( if i%2 0: row = list ) and then cursor.Import Text Command (Import CSV or Copy/Paste from Excel) da.UpdateCursor to get PopupInfo's for all rows, then split and create new lists just like with search cursorĥ. Loop through field names list with arcpy.AddField_management to add all fields (skip if they already exist)Ĥ. Then split it into a list based on '' tag but not the 'td>' closing tag into a new list of field names (even indexes) and field values (odd indexes)ģ. da.SearchCursor to get the PopupInfo string from the first row. use the arcpy KML to layer tool and Project tools to get into to the desired coordinate system (i ran into problems adding fields to the original conversion output, which may be due to the layer file associated with it)Ģ. I've been able to make this work using cursors and lists to split the PopupInfo xml field into useful valuesġ. There is a related workflow to extract attributes from extended data - if anyone needs this message me in GeoNet. The attributes you expose will then be written as properly typed fields in a Geodatabase. You may need a GeometryFilter transformer after the Reader to filter Placemarks of interest, and if handling date fields, a DateFormatter to make the values writable to Geodatabase (say %x input, FME date output). How to expose feature attributes from KML tag - FME Knowledge Center The data workflow between the Reader and Writer is this: Then author a Spatial ETL tool with KML Reader and Geodatabase Writer, manually specifying each output feature class' geometry and attributes. Usually only one Placemark geometry type is of interest, but if you need to convert multiple Placemark geometry types repeat the review for each one. Unfortunately there is no magic wand to wave to help with this, the data is untyped in the KML description and you need to do this clerical review. ![]() First, inspect the KML features in Earth and decide what attributes you want and what data type they are. While KML does support a schema object that Data Interoperabilty's Quick Import geoprocessing tool would see and honour, often KML files are received that contain only HTML data in description objects, and the data is frustratingly close but inaccessible.ĭata Interoperability is still the answer, but you need to author a Spatial ETL tool tailored to your data. ![]() I am regularly asked how to extract the tabular data visible in KML description balloons in ArcGIS Earth into properly typed attributes that can be written to a Geodatabase feature class. ![]()
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