# Use Merge tool to move features into single dataset # Since both oldStreets and newStreets have field "Distance", no field mapping If field.name not in :įieldMappings.removeFieldMap(fieldMappings.findFieldMapIndex(field.name))
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# "Street_Class", "Street_Name", & "Distance" # Remove all output fields from the field mappings, except fields StreetClass = fldMap_streetClass.outputFieldįldMap_streetClass.outputField = streetClassįieldMappings.addFieldMap(fldMap_streetClass)
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# Set name of new output field "Street_Class" # Add input fields "CLASS" & "IFC" into new output fieldįldMap_streetClass.addInputField(oldStreets, "CLASS")įldMap_streetClass.addInputField(newStreets, "IFC") # Add output field to field mappings objectįieldMappings.addFieldMap(fldMap_streetName) StreetName = fldMap_streetName.outputFieldįldMap_streetName.outputField = streetName # Set name of new output field "Street_Name" # Add input fields "STREET_NAM" & "NM" into new output fieldįldMap_streetName.addInputField(oldStreets, "STREET_NAM")įldMap_streetName.addInputField(newStreets, "NM") # Add all fields from both oldStreets and newStreets # Create FieldMappings object to manage merge output fields NewStreets = "Habitat_Analysis.gdb/futrds" # feature classes into a single dataset with field mapping # Description: Use Merge to move features from two street In Python, you can use the FieldMappings class to define this parameter. Count-Find the number of records included in the calculation.Standard deviation-Use the standard deviation classification method on all the input field.Max-Use the maximum value of all the input field values.Min-Use the minimum value of all the input field values.Mode-Use the value with the highest frequency.Median-Calculate the median (middle) of the input field values.Mean-Calculate the mean (average) of the input field values.Sum-Calculate the total of the input field values.Join-Concatenate (join) the input field values.First-Use the input fields' first value.There are several merge rules you can use to determine how the output field will be populated with values. Input fields are merged or combined into a single output value.
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Merge rules allow you to specify how values from two or more By default, all fields from the inputs will be included.įields can be added, deleted, renamed, and reordered, and you can change their properties. The attribute fields that will be in the output with the corresponding field properties and source fields. Use the Mosaic To New Raster tool to combine multiple rasters into a new output raster. This tool does not support raster datasets. Use the Append Annotation Feature Classes tool to combine annotation feature classes. This tool does not support annotation feature classes. If feature classes are being merged, the output dataset will be in the coordinate system of the first feature class in the Input Datasets list, unless the Output Coordinate System geoprocessing environment is set. To combine, or planarize, feature geometries, use the Union tool. All features from the input datasets will remain intact in the output dataset, even if the features overlap. This tool will not split or alter the geometries from the input datasets. Learn more about mapping fields in scripts
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If a table is merged into a feature class, the rows from the input table will have null geometry. If the first input is a feature class, the output will be a feature class, if the first input is a table, the output will be a table. The output type is determined by the first input. Tables and feature classes can be combined in a single output dataset. For example, several point feature classes can be merged, but a line feature class cannot be merged with a polygon feature class. All input feature classes must be of the same geometry type. Use this tool to combine datasets from multiple sources into a new, single output dataset.