/ . / Trajectory / DCD / MDToolsMarch97 / md_Data.py / Data 

General structure for sequence of data points.

Data: fields, names, data

Methods: d = Data(fields,[data]) fields: list or tuple of field names as in (t,x,y,z) d.append(rec) - append a record such as (1,1.2,3.2,5.1) d[8:13] - return a list of records len(d) - return number of records addfield(name,args,func) - add a field based on other fields name: name of new field, as in x+y args: tuple of arguments for func, as in (x,y), just one, as in x func: function to create new field, as in lambda x,y:x+y addindex([offset],[name]) - add an index field filter(args,func) - return new Data of records that pass filter func average(args,[func]) - mean of function (default is x) deviation(args,[func]) - STD of function (default is x) Warning: deviation() divides by N - 1 to estimate the STD from a sample plot([args]) - launch a plotting program to plot args list([args],[file],[titles]) - print to screen (file) w/ or w/o titles

See also: xyplotfunction

deviation (
        self,
        args,
        func=None,
        zero=0.,
        )

plot ( self,  args=None )

__getitem__ ( self,  key )

__getslice__ (
        self,
        i,
        j,
        )

addfield (
        self,
        name,
        args,
        func,
        )

average (
        self,
        args,
        func=None,
        zero=0.,
        )

addindex (
        self,
        offset=0,
        name='index',
        )

list (
        self,
        args=None,
        file=None,
        titles=1,
        )

filter (
        self,
        args,
        func,
        )

__len__ ( self )

__init__ (
        self,
        fields,
        data=[],
        )

append ( self,  rec )

__repr__ ( self )