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How to use the tables.IntCol function in tables

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github uvemas / ViTables / tests / create_samples.py View on Github external
import sys
import numpy
import tables

# The top level description of a sample table
class Particle(tables.IsDescription):
    name        = tables.StringCol(16, pos=1)   # 16-character String
    lati        = tables.IntCol(pos=2)        # integer
    longi       = tables.IntCol(pos=3)        # integer
    pressure    = tables.Float32Col(pos=4)    # float  (single precision)
    temperature = tables.FloatCol(pos=5)      # double (double precision)

# Define a nested field using a IsDescription descendant
class Info(tables.IsDescription):
    """A substructure of ComplexObject.
    """
    name    = tables.StringCol(16, pos=0)
    value   = tables.IntCol()
    
# Define a nested field using a dictionary
Coord = {
    "x": tables.FloatCol(pos=0),
    "y": tables.FloatCol(pos=1),
    "z": tables.FloatCol(pos=2)}
github uvemas / ViTables / tests / create_samples.py View on Github external
import tables

# The top level description of a sample table
class Particle(tables.IsDescription):
    name        = tables.StringCol(16, pos=1)   # 16-character String
    lati        = tables.IntCol(pos=2)        # integer
    longi       = tables.IntCol(pos=3)        # integer
    pressure    = tables.Float32Col(pos=4)    # float  (single precision)
    temperature = tables.FloatCol(pos=5)      # double (double precision)

# Define a nested field using a IsDescription descendant
class Info(tables.IsDescription):
    """A substructure of ComplexObject.
    """
    name    = tables.StringCol(16, pos=0)
    value   = tables.IntCol()
    
# Define a nested field using a dictionary
Coord = {
    "x": tables.FloatCol(pos=0),
    "y": tables.FloatCol(pos=1),
    "z": tables.FloatCol(pos=2)}

# The top level description of another sample table
# Dictionaries have an advantage over IsDescription: they allow for
# fields with blanks in their names
ComplexObject = {
    "ID": tables.StringCol(8, pos=0),   # 8-character String
    "long_ID": tables.StringCol(16, pos=1),   # 16-character String
    "position": tables.IntCol(shape=2, pos=2),        # integer
    "imag": tables.ComplexCol(16, pos=3), # complex (double precision)
    "info": Info(),
github dkriegner / xrayutilities / python / xrutils / io / bruker_header.py View on Github external
HDRBLKS  = tables.IntCol()
    TYPE     = tables.StringCol(72)
    SITE     = tables.StringCol(72)
    MODEL    = tables.StringCol(72)
    USER     = tables.StringCol(72)
    SAMPLE   = tables.StringCol(72)
    SETNAME  = tables.StringCol(72)
    RUN      = tables.IntCol()
    SAMPNUM  = tables.IntCol()
    TITLE    = tables.StringCol(72*8)
    NCOUNTS  = tables.IntCol(shape=(1,2))
    NOVERFL  = tables.IntCol(shape=(1,3))
    MINIMUM  = tables.IntCol()
    MAXIMUM  = tables.IntCol()
    NONTIME  = tables.IntCol()
    NLATE    = tables.IntCol()
    FILENAM  = tables.StringCol(72)
    CREATED  = tables.StringCol(72)
    CUMULAT  = tables.FloatCol()
    ELAPSDR  = tables.FloatCol()
    ELAPSDA  = tables.FloatCol()
    OSCILLA  = tables.IntCol()
    NSTEPS   = tables.IntCol()
    RANGE    = tables.FloatCol()
    START    = tables.FloatCol()
    INCREME  = tables.FloatCol()
    NUMBER   = tables.IntCol()
    NFRAMES  = tables.IntCol()
    ANGLES   = tables.FloatCol(shape=(1,4))
    NOVER64  = tables.IntCol(shape=(1,3))
    NPIXELB  = tables.IntCol(shape=(1,2))
    NROWS    = tables.IntCol()
github dkriegner / xrayutilities / python / xrutils / io / bruker_header.py View on Github external
LINEAR   = tables.StringCol(72)
    PHD      = tables.FloatCol(shape=(1,2))
    PREAMP   = tables.FloatCol(shape=(1,2)) #has to be observed
    CORRECT  = tables.StringCol(72)
    WARPFIL  = tables.StringCol(72)
    WAVELEN  = tables.FloatCol(shape=(1,4))
    MAXXY    = tables.FloatCol(shape=(1,2))
    AXIS     = tables.IntCol()
    ENDING   = tables.FloatCol(shape=(1,4))
    DETPAR   = tables.FloatCol(shape=(2,6))
    LUT      = tables.StringCol(72)
    DISPLIM  = tables.FloatCol(shape=(1,2))
    PROGRAM  = tables.StringCol(72)
    ROTATE   = tables.IntCol()
    BITMASK  = tables.StringCol(72)
    OCTMASK  = tables.IntCol(shape=(2,8))
    ESDCELL  = tables.FloatCol(shape=(2,6))
    DETTYPE  = tables.StringCol(72)
    NEXP     = tables.IntCol(shape=(1,5))
    CCDPARM  = tables.FloatCol(shape=(1,5))
    CHEM     = tables.StringCol(72)
    MORPH    = tables.StringCol(72)
    CCOLOR   = tables.StringCol(72)
    CSIZE    = tables.StringCol(72)
    DNSMET   = tables.StringCol(72)
    DARK     = tables.StringCol(72)
    AUTORNG  = tables.FloatCol(shape=(1,5))
    ZEROADJ  = tables.FloatCol(shape=(1,4))
    XTRANS   = tables.FloatCol(shape=(1,3))
    HKL_XY   = tables.FloatCol(shape=(1,5))
    AXES2    = tables.FloatCol(shape=(1,4))
    ENDINGS2 = tables.FloatCol(shape=(1,4))
github dkriegner / xrayutilities / python / xrutils / io / bruker_header.py View on Github external
ELAPSDR  = tables.FloatCol()
    ELAPSDA  = tables.FloatCol()
    OSCILLA  = tables.IntCol()
    NSTEPS   = tables.IntCol()
    RANGE    = tables.FloatCol()
    START    = tables.FloatCol()
    INCREME  = tables.FloatCol()
    NUMBER   = tables.IntCol()
    NFRAMES  = tables.IntCol()
    ANGLES   = tables.FloatCol(shape=(1,4))
    NOVER64  = tables.IntCol(shape=(1,3))
    NPIXELB  = tables.IntCol(shape=(1,2))
    NROWS    = tables.IntCol()
    NCOLS    = tables.IntCol()
    WORDORD  = tables.IntCol()
    LONGORD  = tables.IntCol()
    TARGET   = tables.StringCol(72)
    SOURCEK  = tables.FloatCol()
    SOURCEM  = tables.FloatCol()
    FILTER   = tables.StringCol(72)
    CELL     = tables.FloatCol(shape=(2,6))
    MATRIX   = tables.FloatCol(shape=(2,9))
    LOWTEMP  = tables.IntCol(shape=(1,3))
    ZOOM     = tables.FloatCol(shape=(1,3))
    CENTER   = tables.FloatCol(shape=(1,4))
    DISTANC  = tables.FloatCol(shape=(1,2)) #has to be observed
    TRAILER  = tables.IntCol()
    COMPRES  = tables.StringCol(72)
    LINEAR   = tables.StringCol(72)
    PHD      = tables.FloatCol(shape=(1,2))
    PREAMP   = tables.FloatCol(shape=(1,2)) #has to be observed
    CORRECT  = tables.StringCol(72)
github SmokinCaterpillar / pypet / my_ni_pexp / mypet / storageservice.py View on Github external
def _prm_get_table_col(self, key, column, fullname):
        ''' Creates a pytables column instance.

        The type of column depends on the type of parameter entry.
        '''

        try:
            val = column[0]

            ## We do not want to loose int_
            if type(val) is int:
                return pt.IntCol()

            if isinstance(val,str):
                itemsize = int(self._prm_get_longest_stringsize(column))
                return pt.StringCol(itemsize)

            if isinstance(val, np.ndarray):
                if np.issubdtype(val.dtype,np.str):
                    itemsize = int(self._prm_get_longest_stringsize(column))
                    return pt.StringCol(itemsize,shape=val.shape)
                else:
                    return pt.Col.from_dtype(np.dtype((val.dtype,val.shape)))
            else:
                return pt.Col.from_dtype(np.dtype(type(val)))
        except Exception:
            self._logger.error('Failure in storing >>%s<< of Parameter/Result >>%s<<. Its type was >>%s<<.' % (key,fullname,str(type(val))))
            raise
github dkriegner / xrayutilities / python / xrutils / io / bruker_header.py View on Github external
#in a string
blank_remov = re.compile(r"\s+") #removeing multiple blanks in a string

#table definition for a V11 header table
class V11_header_table(tables.IsDescription):
    FNAME    = tables.StringCol(100) #the frame number of the file belonging to this header
    FORMAT   = tables.IntCol()
    VERSION  = tables.IntCol()
    HDRBLKS  = tables.IntCol()
    TYPE     = tables.StringCol(72)
    SITE     = tables.StringCol(72)
    MODEL    = tables.StringCol(72)
    USER     = tables.StringCol(72)
    SAMPLE   = tables.StringCol(72)
    SETNAME  = tables.StringCol(72)
    RUN      = tables.IntCol()
    SAMPNUM  = tables.IntCol()
    TITLE    = tables.StringCol(72*8)
    NCOUNTS  = tables.IntCol(shape=(1,2))
    NOVERFL  = tables.IntCol(shape=(1,3))
    MINIMUM  = tables.IntCol()
    MAXIMUM  = tables.IntCol()
    NONTIME  = tables.IntCol()
    NLATE    = tables.IntCol()
    FILENAM  = tables.StringCol(72)
    CREATED  = tables.StringCol(72)
    CUMULAT  = tables.FloatCol()
    ELAPSDR  = tables.FloatCol()
    ELAPSDA  = tables.FloatCol()
    OSCILLA  = tables.IntCol()
    NSTEPS   = tables.IntCol()
    RANGE    = tables.FloatCol()
github HiSPARC / sapphire / sapphire / storage.py View on Github external
Booleans indicating which detectors participated in the
        reconstruction.

    """

    d1 = tables.BoolCol(pos=22)
    d2 = tables.BoolCol(pos=23)
    d3 = tables.BoolCol(pos=24)
    d4 = tables.BoolCol(pos=25)


class KascadeEvent(tables.IsDescription):

    """Store events from KASCADE"""

    run_id = tables.IntCol()
    event_id = tables.Int64Col()
    timestamp = tables.Time32Col()
    nanoseconds = tables.UInt32Col()
    ext_timestamp = tables.UInt64Col()

    energy = tables.FloatCol()
    core_pos = tables.FloatCol(shape=2)
    zenith = tables.FloatCol()
    azimuth = tables.FloatCol()
    Num_e = tables.FloatCol()
    Num_mu = tables.FloatCol()
    dens_e = tables.FloatCol(shape=4)
    dens_mu = tables.FloatCol(shape=4)
    P200 = tables.FloatCol()
    T200 = tables.FloatCol()
github dkriegner / xrayutilities / python / xrutils / io / bruker_header.py View on Github external
NPIXELB  = tables.IntCol(shape=(1,2))
    NROWS    = tables.IntCol()
    NCOLS    = tables.IntCol()
    WORDORD  = tables.IntCol()
    LONGORD  = tables.IntCol()
    TARGET   = tables.StringCol(72)
    SOURCEK  = tables.FloatCol()
    SOURCEM  = tables.FloatCol()
    FILTER   = tables.StringCol(72)
    CELL     = tables.FloatCol(shape=(2,6))
    MATRIX   = tables.FloatCol(shape=(2,9))
    LOWTEMP  = tables.IntCol(shape=(1,3))
    ZOOM     = tables.FloatCol(shape=(1,3))
    CENTER   = tables.FloatCol(shape=(1,4))
    DISTANC  = tables.FloatCol(shape=(1,2)) #has to be observed
    TRAILER  = tables.IntCol()
    COMPRES  = tables.StringCol(72)
    LINEAR   = tables.StringCol(72)
    PHD      = tables.FloatCol(shape=(1,2))
    PREAMP   = tables.FloatCol(shape=(1,2)) #has to be observed
    CORRECT  = tables.StringCol(72)
    WARPFIL  = tables.StringCol(72)
    WAVELEN  = tables.FloatCol(shape=(1,4))
    MAXXY    = tables.FloatCol(shape=(1,2))
    AXIS     = tables.IntCol()
    ENDING   = tables.FloatCol(shape=(1,4))
    DETPAR   = tables.FloatCol(shape=(2,6))
    LUT      = tables.StringCol(72)
    DISPLIM  = tables.FloatCol(shape=(1,2))
    PROGRAM  = tables.StringCol(72)
    ROTATE   = tables.IntCol()
    BITMASK  = tables.StringCol(72)
github SmokinCaterpillar / pypet / pypet / storageservice.py View on Github external
paramdescriptiondict['range']= pt.StringCol(pypetconstants.HDF5_STRCOL_MAX_ARRAY_LENGTH)
                expectedrows=len(traj._explored_parameters)

            if table_name == 'results_trajectory':
                expectedrows=len(traj._results)

            if table_name == 'derived_parameters_trajectory':
                expectedrows=len(traj._derived_parameters)



            if table_name in ['derived_parameters_trajectory','results_trajectory',
                                  'derived_parameters_runs_summary', 'results_runs_summary',
                                  'config', 'parameters', 'explored_parameters']:
                if table_name.startswith('derived') or table_name.endswith('parameters'):
                    paramdescriptiondict['length']= pt.IntCol()

                paramdescriptiondict['comment']= pt.StringCol(pypetconstants.HDF5_STRCOL_MAX_COMMENT_LENGTH)

            if table_name.endswith('summary'):
                paramdescriptiondict['number_of_items']= pt.IntCol(dflt=1)
                paramdescriptiondict['example_item_run_name'] = \
                    pt.StringCol(len(pypetconstants.RUN_NAME)+pypetconstants.FORMAT_ZEROS+3,pos=2)


            if table_name.startswith('derived_parameters_runs'):

                try:
                    expectedrows = traj.f_get('config.hdf5.derived_parameters_per_run').f_get()
                except AttributeError:
                    expectedrows = 0

tables

Hierarchical datasets for Python

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