Python return_case_df Examples

Example #1

File: run_article2_routines.py Project: carlosarceleon/article2_time_resolved

def get_relevant_wall_normal_data_from_pandas_hdf(exceptions = []):
    import article2_time_resolved_routines as trr
    import case_dict_overall_correction as cdoc
    from os.path import join
    from numpy import arange

    root = '/media/carlos/6E34D2CD34D29783/2015-02_SerrationPIV/'\
            +'TR_Data_Location_Calibrated'

    case_dict = cdoc.return_case_df()

    for case in case_dict.iterrows():
        case_file = case[1].file

        skip = False
        if len(exceptions):
            for ex in exceptions:
                if ex in case_file:
                    skip = True

        if not skip:
            #x_locs = [float(f) for f in case[1].x_loc.split(',')]
            if 'z00' in case_file and 'Sr' in case_file:
                x_locs = arange( 36, 40.2, 0.2 )
            elif 'z05' in case_file and 'Sr' in case_file:
                x_locs = arange( 16, 20.2, 0.2 )
            elif 'z10' in case_file or 'STE' in case_file:
                x_locs = arange( -5, -0.8, 0.2 )

            trr.wall_normal_data_to_reserved_pickles_from_pandas_hdf( 
                join(root, case_file), x_locs , overwrite = False, append = True
            )

Example #2

def get_relevant_wall_normal_data_from_pandas_hdf(exceptions=[]):
    import article2_time_resolved_routines as trr
    import case_dict_overall_correction as cdoc
    from os.path import join
    from numpy import arange

    root = '/media/carlos/6E34D2CD34D29783/2015-02_SerrationPIV/'\
            +'TR_Data_Location_Calibrated'

    case_dict = cdoc.return_case_df()

    for case in case_dict.iterrows():
        case_file = case[1].file

        skip = False
        if len(exceptions):
            for ex in exceptions:
                if ex in case_file:
                    skip = True

        if not skip:
            #x_locs = [float(f) for f in case[1].x_loc.split(',')]
            if 'z00' in case_file and 'Sr' in case_file:
                x_locs = arange(36, 40.2, 0.2)
            elif 'z05' in case_file and 'Sr' in case_file:
                x_locs = arange(16, 20.2, 0.2)
            elif 'z10' in case_file or 'STE' in case_file:
                x_locs = arange(-5, -0.8, 0.2)

            trr.wall_normal_data_to_reserved_pickles_from_pandas_hdf(
                join(root, case_file), x_locs, overwrite=False, append=True)

Example #3

        airfoil_normal=False,
    )

    trr.raw_data_to_pandas_hdf5(
        case=case,
        root='',
        output_root='',
        overwrite=False,
        time_step_limit=0,
        plot=False,
        airfoil_normal=True,
    )

    try:
        routines.get_relevant_wall_normal_data_from_pandas_hdf()
    except:
        pass

    return 0


from multiprocessing import Pool
import case_dict_overall_correction as case_dict
case_constants = case_dict.return_case_df()

cases = case_constants.file.values

p = Pool(4)

p.map(run_case, cases)

Example #4

File: tecplot_to_pandas_hdf_one_by_one.py Project: carlosarceleon/article2_time_resolved

def run_case(case):
    import article2_time_resolved_routines as trr

    trr.raw_data_to_pandas_hdf5(
        case            = case,
        root            = '' ,
        output_root     = '',
        overwrite       = False,
        time_step_limit = 0,
        plot            = False,
        airfoil_normal  = True,
    )

    return 0

import case_dict_overall_correction as case_dict 
case_constants = case_dict.return_case_df()

cases = case_constants.file.values

for c in cases:

    if "STE" in c:
        run_case(c)