What's new in version 1.8.3

New

  • Adds ujson library as a dependency for JSON parsing to improve performance

arcgis.gis

arcgis.gis.admin

arcgis.gis.server

arcgis.env

  • Adds environment variables:
    • union_dimension
    • match_variables

arcgis.features

arcgis.features.analysis

arcgis.raster

arcgis.raster.analytics

  • Enhances API to utilize the hosted imagery and raster analysis capabilities available with the June 2020 ArcGIS Online
  • Adds tiles_only keyword argument to functions
  • build_multidimensional_transpose()
    • Adds new parameter:
    • delete_transpose (Parameter available in ArcGIS Image Server 10.9 or higher)
  • summarize_raster_within()
    • Adds new parameter:
    • percentile_interpolation_type(Parameter available in ArcGIS Image Server 10.9 or higher)
  • Enhanced the following functions to accept local datasets to create hosted imagery layers
  • Adds merge_multidimensional_rasters() function (requires ArcGIS Image Server 10.9 or higher)
  • calculate_density()
    • Adds input_barriers parameter (requires in ArcGIS Image Server 10.9 and higher)
  • optimal_path_as_line()
    • Adds create_network_paths parameter (requires in ArcGIS Image Server 10.9 and higher)

arcgis.raster.functions

  • Adds new functions:
    • detect_change_using_change_analysis_raster
    • trend_to_rgb
    • apparent_reflectance
    • buffered
    • rasterize_features
    • reproject
    • heat_index
    • wind_chill
    • aspect_slope
    • contour
    • compute_change
    • aggregate
    • bai
    • nbr
    • ndbi
    • ndmi
    • ndsi
    • mndwi
  • band_arithmetic()
    • Adds new options for method:
      • BAI
      • NBR
      • NDBI
      • NDMI
      • NDSI
      • MNDWI
  • generate_trend()
    • Adds options for regression_type parameter:
      • MANN-KENDALL
      • SEASONAL-KENDALL
    • Adds new parameter:
      • seasonal_period
  • focal_statistics()
    • Adds new options for stat_type:
      • Median
      • Majority
      • Minority
  • composite_band()
    • Adds cellsize_type parameter
  • geometric()
    • Adds new parameters:
      • tolerance
      • dem

arcgis.raster.functions.gbl

  • Adds new functions:
  • zonal_statistics()
    • Adds new parameter:
    • percentile_interpolation_type (Parameter available in ArcGIS Image Server 10.9 or higher)
  • kernel_density()
    • Adds in_barriers parameter (Parameter available in ArcGIS Image Server 10.9 and higher)

argis.raster.functions.RFT

  • Enhanced module to work with ArcGIS Online

arcgis.geoanalytics

  • summarize_data submodule
    • Adds time stepping parameters to summarize_attributes() for 10.9+ releases
      • time_step_interval
      • time_step_interval_unit
      • time_step_repeat_interval
      • time_step_repeat_interval_unit
      • time_step_reference

arcgis.geometry.functions

  • Adds missing api reference documentation

arcgis.mapping

arcgis.mapping.ogc

  • GeoJSONLayer
    • Adds data parameter to allow plotting from a string or local file

arcgis.widgets

arcgis.apps

arcgis.learn

Fixes

Guides

Samples

arcgis.gis

  • Fixes parameter names in PortalDataStore.publish() code example for the config parameter
  • Fixes authentication error with Python 3.7 and Notebook Server
  • Clarifies documentation for storageUsage parameter of User objects
  • Fixes issue with ArcGIS online comments with certain unicode characters not getting returned properly
  • Fixes error with clone_items() on Survey items
  • Fixes deprecation warnings when import API in Notebook Server
  • Item
  • UserManager
  • Fixes token errors with public Geometry and Geoprocessing services affecting API and Notebook Server
  • Fixes BUG-000133849 - data resource is missing when KML or KMZ files are added to ArcGIS Online
  • ContentManager
    • Fixes BUG-000133739 - clone_items() on hosted feature layer views returns JSONDecodeError: Expecting value: line 1 column 1 (char 0) error
  • GroupMigrationManger

arcgis.gis.admin

  • Fixes error returning ArcGIS Online history() when return type is a DataFrame

arcgis.gis.server

  • Fixes issue where a "/" added to the server admin url creates invalid connection
  • Fixes issue when creating Server object without a Portal connection on a Federated Server
  • Fixes issue with mangled URL when connecting to unfederated servers URL
  • ReportManager
    • BUG-000133053 list() method returns error if a saved report created from ArcGIS Server manager exists on server
    • Fixes issue when create() fails if existing reports named as integers
    • Fixes errors in create() documentation for parameters:
      • queries
      • from_value
      • to_value
    • Fixes BUG-000134098 unexpected keyword argument from_value error in quick_report()
    • Removes incorrect option from since parameter documentation for quick_report()

arcgis.features

arcgis.features.analysis

arcgis.features.managers

arcgis.raster

arcgis.network

  • Sets default values for optional parameters to None to rely on service defaults whether in ArcGIS Online and ArcGIS Enterprise

arcgis.geoanalytics

arcgis.geocoding

  • Updates suggest() so location parameteris optional

arcgis.geometry

  • Fixes issue with various functions ignoring inplace paramter default value
  • Fixes issue with various functions not returning the spatialReference with output
  • Fixes issue with Polygon failing if order of geometries used is not correct for EsriJSON format

arcgis.mapping

  • Fixes BUG-000131799 - import_tiles() returns error:"'Response' object is not subscriptable" because of improper url construction
  • Fixes error when extent parameter for OfflineMapAreaManager.create() is a bookmark or dictionary
  • WebMap
  • Fixes issue with add_layer() where only layers are added from an an Item or FeatureLayerCollection that has both layers and tables
  • Fixes issue with add_table() trying to get a renderer when adding
  • Fixes BUG-000131725 - complex symbology is not preserved for Map Service added using the add_layer() function
  • Fixes issue with zoom_to_layer() function failing to display layer if called before map has fully loaded

arcgis.widgets

arcgis.apps

arcgis.learn

  • Disables saving optimizer by default (default value of save_optimizer parameter False in models
  • Numerous documentation enhancements
  • Fixes fit() methods on multiple models when using tensorboard=True
  • Fixes bug with prepare_data() failing with Multispectral data when gdal is not installed
  • Removes unnecessary warning messages when debugging is set
  • Fixes issue where classcodes are not preserved in output raster when training data has non-contiguous classcode labels for Pixel Classification models
  • Fixes issue with inferencing when prepare_data() dataset_type parameter is ChangeDetection and training data is multispectral
  • detect_objects()
    • Fixes warning messages when deciding between GPU or CPU
  • SuperResolution
    • Fixes prepare_data issue when not creating labels when called without downsampling_factor
    • fixes issue with default transforms causing prediction errors
    • fixes error when image data format is tiff
    • fixes chip_size causing artifacts while inferencing
  • Fixes errors when gdal was not handling non-contiguous class segementation
  • EntityRecognizer
    • Fixes issues with large loss values during model training
    • Fixes per epoch metric calculation bug
    • Fixes lr_find() to run for at least one full epoch per learning rate
    • Fixes issue with lr_find() output when data prepared with batch_size of 2
    • Fixes text column to be first column in show_batch()
  • FeatureClassifier
    • Fixes issue with fit() not displaying results after training with multipsectral data
    • Fixes issues with show_results() failing with smaller validation datasets
    • Fixes failures of plot_hard_examples() with multilabel model
    • Fixes errors when running fit() if oversample=True
    • Fixes issues with plot_losses()
  • UnetClassifier
    • Fixes issue with incorrect exceptions raised when object craeted with no data
    • Fixes missing model type information from output of save()
    • Fixes ValueError with lr_find() and fit()
    • Fixes show_results() tesnor shape error
    • Fixes class weights not used even after specifying class_balancing=True
    • Fixes class weights not matching number of classes when data has been exported with one class having pixel value 0
    • Fixes inconsistent accuracy() results between fitting and loading
  • PSPNetClassifier
    • Fixes missing model type information from output of save()
    • Fixes inconsistent accuracy() results between fitting and loading
    • Fixes ValueError with lr_find() and fit()
    • Fixes NameError when intializing with use_unet and unet_aux_loss both set to True
    • Fixes class weights not used even after specifying class_balancing=True
    • Fixes class weights not matching number of classes when data has been exported with one class having pixel value 0
    • Fixes error with lr_find() and VGG backbones if model created with use_unet=True
    • Fixes errors in fit() on object created wtih VGG backbone and pointrend=True
  • DeepLab
    • Fixes class weights not used even after specifying class_balancing=True
    • Fixes class weights not matching number of classes when data has been exported with one class having pixel value 0
    • Fixes inconsistent accuracy() results between fitting and loading
  • MaskRCNN
    • Fixes situation with incorrect labels when multiband data is exported
  • FasterRCNN
    • Fixes show_results() failing with multispectral data
    • Fixes issue with save() raising exception instead of returning no boxes when using default parameters
    • Fixes fit() method when tensorboard=True
  • RetinaNet
    • Fixes to auto-detection routines to determine CPU or GPU hardware available
  • PointCNN
    • Fixes predict_las() failing when output folder is not empty or has files with pred in name or .las extension
    • Fixes issues with las and h5 files remaining open after using
    • Fixes issue predict_las() failing if .las files have a period in the filename
    • Multiple fixes to documentation
  • SingleShotDetector
    • Fixes predict() TypeError when using multispectral data
    • Fixes errors when initializing with mobilnet_v2 or densenet backbones
    • Fixes errows with predict() when using multipsectral data and visualize=True
  • EntityRecognizer
    • Fixes issues with incorrect exceptions raised caling fit() or lr_find() if object initialized without data
  • Fixes issue where saving checkpoint was not using the most apt value of validation loss when early_stopping is set to true
  • Fixes issue where the HTML file with model metrices (model_metrices.html) not getting saved when training UnetClassifer, PSPNetClassifier, DeepLab, SingelShotDetector and RetinaNet models

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