Python Conda and ArcGIS Pro 2.7 For those of us who regularly work with Python and ArcGIS, especially for data science, life just got a lot easier with ArcGIS Pro 2.7. Now, arcpy can be installed just like any other Conda package. This means ArcGIS Pro now can coexist on the same machine and play nicely with Conda.
Python Cloning ArcGIS Conda Environments ArcGIS Pro, when initially released, included an incredibly powerful capability, the included Python environment is a Conda environment. This unlocks the extremely powerful and vast universe of installable packages available through Conda. Further,
Python Create `arcgis` Conda Environment with a Batch File Although first and foremost a Geographer, after transitioning to the GeoAI Business Development Team at Esri, now I spend most of my time in Jupyter Lab. Although not altogther difficult, if following best
Python Automatically Convert to Esri Spatially Enabled Dataframe I frequnetly need a Spatially Enabled Dataframe from a variety of sources, and these sources frequently change. Guessing there is a very good chance I am not the only one doing this - here is my solution to this as a Gist you are more than welcome to use.
Python Relative Module Imports in an ArcGIS Python Toolbox The idea of ArcGIS Python toolboxes really appeals to me. I really like them. As is frequently the case in life, the devil is in the details. Python Toolboxes have plenty of interesting
Python Purge Scratch GeoDatabase In a lot of the scripts I write, especially data preparation pipelines, I use the scratch Geodatabase - a lot. At the end of these pipelines, especially when testing and re-running the processes
arcpy Use ArcPy to Match Spatial Reference Frequently when performing data preparation or analysis in GIS the spatial reference or projections need to be modified to match. Also, much of the time the data needs to be modified to match
Python Creating a SpatialDataFrame from a Web GIS Item The relatively recent addition of the SpatialDataFrame object to the ArcGIS Python API was a gigantic leap forward. The SpatialDataFrame marries the common data structure used for data munging and data science, the
Python Keeping the ArcGIS Python API with ArcGIS Pro Current If you are running the ArcGIS Python API in a virgin Conda environment, this very likely does not apply to you. If you are running the ArcGIS Python API in the Python environment
Pandas Filter NotNull Geometries in an ArcGIS SpatialDataFrame When working with Pandas DataFrames it is fairly common to filter out records with null values using the notnull Pandas function. This however, does not work with the geometry column created when loading
Python PyCharm Debugging - Stop on Unhandled Exceptions One of the most useful features of PyCharm is the robust debugging capabilities, especially the ability to set it to stop during debugging when encountering an unhandled exception. Enabling this, I frequently have
ArcGIS ArcGIS Python Reproject Geometry Object List Frequently I have a large list of geometry objects I need to get reprojected for analysis. A while back I discovered the reprojectAs method of the arcpy.Geometry object. While useful, I still
Conda ArcGIS Pro + Conda + Jupyter Notebook + ArcGIS Python API ArcGIS Pro, like it's predecessor ArcMap, installs Python tightly integrated with the software. ArcGIS Pro 1.4 installs Python 3.5 complete with the Conda package management system. The environment ArcGIS Pro uses
Python ArcGIS Chunk Data for Analysis Using Python Frequently I have to process very large datasets so large my computer with a quad core i7 with 20GB of RAM cannot handle it. The solution is to chunk the analysis. While there
Pandas ArcGIS to Pandas Data Frame v2.0 One of the most popular posts on my blog discusses loading data from an ArcGIS table, either spatial (a Feature Class) or even nonspatial, to a Pandas DataFrame to take advantage of the
Python Displaying Matplotlib Graphs Inline in Jupyter Notebook Updated to include how to modify the config file so this is the default behavior. Recently I have begun to try, at least at a cursory level, to begin to understand some of
Python ArcGIS + Python + Jupyter Notebook = Win! One of my favorite tools when working with Python and exploring how things work is Jupyter Notebook. Jupyter Notebook however, is not included with the ArcGIS installation of Python. Until the 1.3
Python Getting Started with Conda and ArcGIS Pro 1.3 Python is an incredible tool for streamlining workflows and doing analysis with ArcGIS. However, until now it was frustratingly difficult, or practically impossible to take advantage of the plethora of packages available to
Python Python IDE Configuration with ArcGIS Pro 1.3 In previous versions of ArcGIS Pro, 1.2 and earlier, to use arcpy, the ArcGIS module for Python, in external scripts, you had to perform a secondary installation. A really handy feature of
Python ArcPy Field Name List Frequently, especially when using cursors, I need to quickly get a list of field names not including the ObjectID nor Geometry fields. I accomplish this by using a quick shorthand function. fields_list
Python ArcGIS to Pandas Data Frame With the release of ArcGIS 10.4, a few packages included have come to my attention. While numpy has been in there for quite some time, now scipy and pandas are now included.
Python Installing Python Packages on an ArcGIS Python Installation It is little secret I use a ton of Python to get tasks in ArcGIS done. If serious about getting volumes of data processed with ArcGIS, Python is far and above the way
beer Beer Me - The Beer Map Download Tool After unleasing the Brewery Finder on the world yesterday, a lot of people have been asking about the data source. Since I actually wrote a script to get the data and convert it,
arcpy Testing Regular Expressions Extracting pieces of text out of larger strings based on patterns, this is what regular expression matching facilitates. It really is great stuff...once you wrap your head around it. Most frequently I
ArcGIS for Desktop Recursively List Data Using arcpy.da.walk Although the ArcGIS Python package arcpy does include the capabilty to list a huge variety of data objects, if the data is contained in nested directories or feature datasets within the geodatabase, creating