SYMBOL INDEX (26 symbols across 2 files)

FILE: statistics.py
  function mean (line 8) | def mean(x):
  function median (line 11) | def median(v):
  function data_range (line 25) | def data_range(x):
  function de_mean (line 28) | def de_mean(x):
  function variance (line 33) | def variance(x):
  function standard_deviation (line 39) | def standard_deviation(x):
  function quantile (line 42) | def quantile(x, p):
  function interquartile_range (line 47) | def interquartile_range(x):
  function dot (line 50) | def dot(v, w):
  function sum_of_squares (line 54) | def sum_of_squares(v):
  function normal_cdf (line 58) | def normal_cdf(x, mu=0,sigma=1):
  function inverse_normal_cdf (line 61) | def inverse_normal_cdf(p, mu=0, sigma=1, tolerance=0.00001):

FILE: visuals.py
  function img_to_array (line 26) | def img_to_array(filename):
  function makeFolder (line 37) | def makeFolder(directory):
  function createEigendressPictures (line 44) | def createEigendressPictures():
  function indexesForImageName (line 64) | def indexesForImageName(imageName):
  function predictiveModeling (line 67) | def predictiveModeling():
  function showHistoryOfDress (line 154) | def showHistoryOfDress(dressName):
  function bulkShowDressHistories (line 165) | def bulkShowDressHistories(lo, hi):
  function reconstruct (line 176) | def reconstruct(dress_number, saveName = 'reconstruct'):
  function construct (line 180) | def construct(eigenvalues, saveName = 'reconstruct'):
  function image_from_component_values (line 189) | def image_from_component_values(component):
  function makeRandomDress (line 206) | def makeRandomDress(saveName, liked):
  function reconstructKnownDresses (line 217) | def reconstructKnownDresses():
  function createNewDresses (line 226) | def createNewDresses():
  function printComponentStatistics (line 236) | def printComponentStatistics():