Depending on which toolboxes are available, ArcPy might have access to several toolboxes, dozens of environment settings, and hundreds of tools. ArcPy has several appropriately named functions to return a list of tools (ListTools), environment settings (ListEnvironments), or toolboxes (ListToolboxes).
Each function has a wild card option and returns a list of name strings that can be looped through. The example below shows how to access available tools and print out their usage.
import arcpy
# Create a list of the conversion tools
tools = arcpy.ListTools("*_conversion")
# Loop through the list and print each tool's usage
for tool in tools:
print(arcpy.Usage(tool))
The following sample provides an approach for viewing environment settings in Python.
import arcpy
environments = arcpy.ListEnvironments()
# Sort the environment list, disregarding capitalization
environments.sort(key=str.lower)
for environment in environments:
# As the environment is passed as a variable, use Python's getattr to
# evaluate the environment's value
env_value = getattr(arcpy.env, environment)
# Format and print each environment and its current setting
print("{0:<30}: {1}".format(environment, env_value))
The following sample provides an approach for viewing current toolboxes in Python.
import arcpy
# Print all current toolboxes
for toolbox in arcpy.ListToolboxes():
# Toolboxes are printed in the form of "toolbox_name(toolbox_alias)"
print(toolbox)