sd.py File Reference

Namespaces
	sd

Functions
def	sd.syntax

Variables
list	sd.non_numerical_cols
	sd.showfilename = False
	Analyse options. More...
	sd.multifilemode = False
	sd.summode = False
	sd.normalize_sums = False
	sd.normalize_all = False
	sd.offset_sums = False
	sd.offset_all = False
	sd.columnbreak = False
list	sd.columns = []
list	sd.files = []
list	sd.sums = []
string	sd.next_sum_type = ""
	sd.column_name = arg
	sd.sum_type = next_sum_type
list	sd.final_data = []
list	sd.lines = []
	now iterate through files and print columns etc. More...
tuple	sd.file = gzip.open(filename,"r")
	gzipped More...
	sd.donetitles = False
list	sd.names = []
tuple	sd.token = string.split(l)
	SCORE LINE. More...
	sd.Error = False
	SCORE LINE HEADERS. More...
	sd.brokenline = False
	if it does not then ignore this line - we assume it's corrupted More...
	sd.is_nonnumtag = False
	Check columns for correctness. More...
tuple	sd.t = float( token[i] )
	print n,i,token[i] if we're here, the tag is considered a numeric one and thus must pass the float conversion test More...
tuple	sd.newdataline = dict()
	Ignore broken lines! More...
list	sd.combined_data = []
	record the filename as "data" More...
int	sd.sum = 0
	sd.sumactive = False
list	sd.new_combined_data_line = []
tuple	sd.range_data = dict()
tuple	sd.perc_high = dict()
tuple	sd.perc_low = dict()
tuple	sd.value = float(i)