# -*- coding: utf-8 *-*
from diaGrabber import source, target, plot
from diaGrabber.methods import merge, calc, exclude, transform
#folder = "/home/bedrich/Arbeitsfläche/Strahlvermessung/"
#folder = "/home/bedrich/Dokumente/HiWi/Strahlvermessung/"
file_name = "ods_example.ods"#"
#seperator = " "
data_type = "float"
###############
p = source.libreOfficeCalc(file_name, "Tabelle1", data_type)
#f.setReadoutEvery_n_line = 10
one = p.basisDimension("I [mA]",50, "A2:A100", [0,100])
#resolution = 50
#one.includeFromTo(0, 100, resolution)
two = p.mergeDimension("time", "B2:B100")
#two.merge = merge.mean()
#basis_dim = [one]
#merge_dim = [two]
#derivate_dim = one#nicht impl.
# -*- coding: utf-8 -*- # This example show you the possibility of working with multidimensional problems # As usual we need to include all modules of diaGrabber from diaGrabber import source, target, plot from diaGrabber.source.methods import merge, calc, exclude, transform # This is our source: a libreOffice-document. # There are two sheets in the document: # in 'functions' are all values written as a function of the mergeDimension # in 'values' are only the raw values of it. # REMEMBER: source.libreOfficeCalc can only read out values, not functions! ods = source.libreOfficeCalc( file= "5d.ods", folder="ressources/", sheet="values", dataType="float") # In this dokument one mergeDimension (merge) depends on four different # basisDimensions (one,two,tree,four) merge = ods.mergeDimension( name="merge", unit="-", cellRange="F3:F600", merge=merge.max()) # the given prefix 'm' stands for milli. If you use this attribute all values # were transformed in the readout. in this case /1000 one = ods.basisDimension( name="one",unit="m/s", cellRange="A3:A600", resolution=40) two = ods.basisDimension( name="two", prefix="m", unit="m/s", cellRange="B3:B600", resolution=40) three = ods.basisDimension( name="three", prefix="m", unit="m/s", cellRange="C3:C600", resolution=40) four = ods.basisDimension(
# -*- coding: utf-8 *-* # this is the most easiest example: one file, two dimensions, a simple graph to plot ####################### # after installing diaGrabber you can create procedures everywhere # you just have to include some of the modules of diaGrabber via... from diaGrabber import source, target, plot from diaGrabber.source.methods import merge, calc, exclude, transform # thats your source: a libreOffice-file s = source.libreOfficeCalc( file= "ressources/2d.ods", sheet="Tabelle1", dataType="float") # this will be our 'x' x = s.basisDimension( name="I",unit="mA", cellRange="A2:A100", resolution=50) # and this our 'y' y = s.mergeDimension( name="time", unit="s", cellRange="B2:B100") # read more about merge- and basis-dimensions the the documentation # to understand its differences # we need a target to fill with the values from our source: t = target.coarseMatrix(s) t.fill() # ... and something to plot:
# both professors want to know whats the best height for its habitat # there are some differences in the written results of the professors: # * different prefixes (one write distances in km, the other im m) # * differenct ammount of values # * different resolutions of the basiDimensions # the aim is to connect the results of the 'Type' and to compair the results of # "best height/Mueller" with "best height/Schroeder" from diaGrabber import source, target, plot from diaGrabber.source.methods import merge, calc, exclude, transform #here are Prof. Muellers results: ################################# mueller = source.libreOfficeCalc( file= "3d_b.ods", folder="ressources/", sheet="result", dataType="float") ##BASIS (in km) x = mueller.basisDimension( name="x",unit="m", prefix='k',cellRange="a2:a229", resolution=20) y = mueller.basisDimension( name="y", unit="m", prefix="k", cellRange="b2:b229", resolution=20) ##MERGE type_max = mueller.mergeDimension( name="Type", unit="-", cellRange="d2:d229", merge=merge.max()) bestHeight = mueller.mergeDimension( name="best height/Mueller", unit="m", prefix="c", cellRange="c2:c229") # the best height is defined as the height, where the type is maximal bestHeight.alias().append(type_max)
