tlancon

def parse_response(multiple_choice, prompt=None):
    """
    Splits a user's input into individual words and searches a list
    of allowable responses for a unique match, then returns the word
    that matches one of the options.

    List comprehension syntax explained for my own reference:
    1. for i in response.split() - breaks every word of response
        into individual strings
    2. if i in multiple_choice - searches for ALL recognized words

tlancon

# Copy/paste into the Avizo/Amira Python console.
# Alternatively, save to a file, add that file to your path, and import.
# See docstring for usage.
def labelanalysis_to_dataframe(tablelike_object):
    """
    Converts a tablelike object (HxSpreadSheet, HxLabelAnalysis, or anything with
    .all_interfaces.HxSpreadSheetInterface) to a Pandas data frame with the column names intact.
    
    You must use the object handle, not just the name of the object! For example,
    to convert a HxLabelAnalysis data object named "chocolate-bar.Label-Analysis":

tlancon

# 1. Copy/paste this into Avizo/Amira console
# 2. Select two datasets to compare and press Shift+F3
# Note: Can change 'onKeyFX' to the desired keybinding
# Note: Requires Avizo (not Avizo Lite) or the XImagePAQ extension for Amira
proc onKeyShiftF3 {} {
	if {[llength [all -selected]] != 2} {
		echo "Please select two data objects."
	} else {
		set before [lindex [all -selected] 0]
		set after [lindex [all -selected] 1]

tlancon

# 1. Copy/paste this into Avizo/Amira console
# 2. Select one or more Ortho Slices to auto-adjust and press F3
# Note: Can change 'onKeyFX' to the desired keybinding
proc onKeyF3 {} {
    foreach slice [all -selected HxOrthoSlice] {
        $slice colormap adjustRange; $slice fire
    }
}