alexfriant

#################################################################################
#
# Requirements: You'll need ArcGIS Desktop 10.1 or higher with Python 2.7+ 
#
# Give this script a shapefile or a feature class and it will give you a summary
# report for each field (column) in the attribute table. It helps you get a feel
# for how "complete" the attributes are populated during data assessment. It's
# useful if you need to compare two similar data sources too if you fiddle with
# the results in a spreadsheet program.
#

alexfriant

##################################################################################################################
#
#	Requirements: You'll need ArcGIS Desktop 10.1 or higher with Python 2.7+ 
#
#	If you want to change Transparency for all the layers in your ArcMap MXD quickly, this will do the trick.
#
#   1. Copy / Paste the initial commands and function definitions below into an MXD's Python command shell, one-by-one
#   2. Use the command "setLayerTransparenciesTo(75)" to change every transparency to 75, or whatever you want
#   	(As a side note, notice that the Group Layers are set to 0 transparency. Play with this if you want!)
#

alexfriant

###############################################################################
# 
# Requirements: You'll need ArcGIS Desktop 10.1 or higher with Python 2.7+
#               Use as a ArcToolbox Script Tool. Add the parameters as needed.
#
# Give this script an entire Geodatabase and it reports the number of 
# attachments in attachment table and features in each feature class.
#
# The output is useful for comparing FC counts between multiple 
# identical GDBs. 

alexfriant

from PIL import Image
import glob, os

size = 800, 600

for infile in glob.glob("c:/myphotos/*.jpg"):
    file, ext = os.path.splitext(infile)
    im = Image.open(infile)
    im.thumbnail(size, Image.ANTIALIAS)
    im.save(file + ".jpg", "JPEG")

alexfriant

import arcpy

def permanent_join(target_table, target_attribute, source_table, source_attribute, attribute_to_attach, rename_attribute=None):
	"""
	Attaches a field to a dataset in place in ArcGIS - instead of the alternative of doing an actual join and then saving out a new dataset
	Only works as a one to one join.
	:param target_table: the table to attach the joined attribute to
	:param target_attribute: the attribute in the table to base the join on
	:param source_table: the table containing the attribute to join
	:param source_attribute: the attribute in table2 to base the join on

alexfriant

#############################################################################
# Requirements: ArcGIS 10.0 or higher, Python 2.7 or higher
#
# Description: Give this script an attachment table in a file geodatabase,
#              and it will extract all the files and place them into the
#              folder you designate.
#
# Note: Since attachments can have the same file name (i.e. Image00001.jpg)
#       this script appends the attachment id to the file name so that every
#       file is uniquely named in the folder you designate.

alexfriant

###############################################################################
# 
# Requirements: You'll need ArcGIS Desktop 10.1 or higher with Python 2.7+
#               Use as a ArcToolbox Script Tool. Add the parameters as needed.
#
# Give this script an entire Geodatabase and it reports a list of its feature 
# classes and whether or not Editor Tracking is enabled.
#
# The output is useful for managing Editor Tracking for a large number of 
# feature classes.

alexfriant

#################################################################################
#
# Requirements: You'll need ArcGIS Desktop 10.1 or higher with Python 2.7 
#
# Give this script a geodatabase (Personal, File, or SDE connection) and it will
# remove the "Geoprocssing History" contents from the Metadata in every Feature
# Class inside the geodatabase.
#
# Before you attempt to use/run this script, make sure you have read the section
# near the top called "MODIFIABLE VARIABLES HERE". 

alexfriant

#####################################################################################
#
# Requirements: You'll need Python 3.5.1 or higher to run this
# 
# This script will provide you a basic understanding of the alphanumeric patterns
# which exist in a list. You might get this list from a SQL query or something like
# that.
#
# INPUT: Give this script a file that has a single column of ID type strings.
# EXAMPLE (from command line):

alexfriant

import arcpy, os

fc = os.path.join(r"path",r"to",r"your",r"featureclass")
field_list = [[field.name,field.type,str(field.length)] for field in arcpy.ListFields(fc)]
for field in field_list:
    print(','.join(field))