stephane.manager package

Submodules

stephane.manager.Data_processing module

Examples for Data_processeing module

Examples in two part for data processing

import stephane.manager.Data_processing as Data_processing
import stephane.manager.ref_movie as ref_movie
import stephane.manager.file_architecture as file_architecture
import stephane.tools.browse as browse
"""
Post experiment processing of the data of a given day
"""


date = '2015_01_01' #date of the data to be processed

details = True
if details:
    #decomposing the several steps in Data_processing :
    directory = file_architecture.get_dir(date)
    fileList,n = browse.get_fileList(directory,frmt='cine',root='/PIV_') #look for all the .cine file starting with "PIV" keyword

    print("Number of cine files to be processed : "+str(n))

    #step 1 : generate a ref movie to set manually the x,y axis and the zero position from the grid.
    ref_movie.make(fileList,nimage=10,start=1000)

    #step 2 : generate txt files containing the timestep files to be used. Default value is 1 for the entire movie
    Data_processing.make_timestep_files(fileList)

    #step 3 : generate tiff folders for PIV processing. Indices are read according to the timestep.txt table
    Data_processing.make_piv_folders(fileList,step=20)

    #step 4 : make folders to store PIV results : useless. Can be generated from the PIV software when the date are saved.
    #Data_processing.make_result_folder(fileList)
else :
    Data_processing.main(date) #apply all the previous steps in one

(Source code)

import stephane.manager.Data_load as Data_load
"""
Post experiment processing of the data of a given day :
Generation of Sdata objects, with associated crucial parameters asked :
    time origin
    space origin (by convention, the center of the centered grid bar at the beginning)
    spatial scale
    angle of the movie
Other parameters are picked directly from the cinefile name, or the cine internal info (time axis for instance)
"""

date = '2015_01_01' #date of the data to be processed

Data_load.data_save(date)
#external step : process the tiff images in ./date/Tiff_folder/cinefile_name into velocity field with an external algoritm
#load all the data of the given day in a list of Mdata
Mlist = Data_load.data_load(date)

(Source code)

stephane.manager.Data_representation module

Examples for Data_representation module

import stephane.manager.Data_representation as Data_representation
import stephane.display.graphes as graphes
import stephane.mdata.Sdata_manip as Sdata_manip

#read the Sdata, ie only the headers of the experiments
Slist = Sdata_manip.load_all()

#plot them graphycally. One graph correspond to one experimental configuration
#return a dict of the figures, with an associated default filename base on the x and y legends
figs=Data_representation.graphic(Slist)

#save the figures in a subfolder
graphes.save_figs(figs,savedir='./Figures/',frmt='png')

(Source code)

stephane.manager.Measures module

stephane.manager.Sdata_dictionnary module

stephane.manager.cine2pic module

stephane.manager.file_architecture module

stephane.manager.ref_movie module

Module contents