colour.SpectralDistribution_Sekonic#

class colour.SpectralDistribution_Sekonic(path: str, **kwargs: Any)[source]#

Bases: SpectralDistribution_UPRTek

Implement support to read and write IES TM-27-14 spectral data XML file from a Sekonic CSV file.

Parameters:
  • path (str) – Path for Sekonic CSV file.

  • kwargs (Any) –

Attributes

Methods

Examples

>>> from os.path import dirname, join
>>> from colour import SpectralShape
>>> directory = join(dirname(__file__), 'tests', 'resources')
>>> sd = SpectralDistribution_Sekonic(
...     join(directory, 'RANDOM_001_02._3262K.csv'))
>>> print(sd.read().align(SpectralShape(380, 780, 10)))
... 
Sekonic
=======

Path                  : ...
Spectral Quantity     : irradiance
Reflection Geometry   : None
Transmission Geometry : None
Bandwidth (FWHM)      : None
Bandwidth Corrected   : None

Header
------

Manufacturer           : Sekonic
Catalog Number         : None
Description            : None
Document Creator       : None
Unique Identifier      : None
Measurement Equipment  : None
Laboratory             : None
Report Number          : None
Report Date            : 15/03/2021 3:44:14 p.m.
Document Creation Date : None
Comments               : {...}

Spectral Data
-------------

[[  3.80000000e+02   1.69406589e-21]
 [  3.90000000e+02   2.11758237e-22]
 [  4.00000000e+02   1.19813650e-05]
 [  4.10000000e+02   1.97110530e-05]
 [  4.20000000e+02   2.99661440e-05]
 [  4.30000000e+02   6.38192720e-05]
 [  4.40000000e+02   1.68909683e-04]
 [  4.50000000e+02   3.31902935e-04]
 [  4.60000000e+02   3.33143020e-04]
 [  4.70000000e+02   2.30227481e-04]
 [  4.80000000e+02   1.66981976e-04]
 [  4.90000000e+02   1.64439844e-04]
 [  5.00000000e+02   2.01534538e-04]
 [  5.10000000e+02   2.57840526e-04]
 [  5.20000000e+02   3.04612651e-04]
 [  5.30000000e+02   3.41368344e-04]
 [  5.40000000e+02   3.63639323e-04]
 [  5.50000000e+02   3.87050648e-04]
 [  5.60000000e+02   4.21619130e-04]
 [  5.70000000e+02   4.58150520e-04]
 [  5.80000000e+02   5.01176575e-04]
 [  5.90000000e+02   5.40883630e-04]
 [  6.00000000e+02   5.71256795e-04]
 [  6.10000000e+02   5.83703280e-04]
 [  6.20000000e+02   5.57688472e-04]
 [  6.30000000e+02   5.17328095e-04]
 [  6.40000000e+02   4.39994939e-04]
 [  6.50000000e+02   3.62766819e-04]
 [  6.60000000e+02   2.96465587e-04]
 [  6.70000000e+02   2.43966802e-04]
 [  6.80000000e+02   2.04134776e-04]
 [  6.90000000e+02   1.75304012e-04]
 [  7.00000000e+02   1.52887544e-04]
 [  7.10000000e+02   1.29795619e-04]
 [  7.20000000e+02   1.03122693e-04]
 [  7.30000000e+02   8.77607820e-05]
 [  7.40000000e+02   7.61524130e-05]
 [  7.50000000e+02   7.06516880e-05]
 [  7.60000000e+02   3.72199210e-05]
 [  7.70000000e+02   3.63058860e-05]
 [  7.80000000e+02   3.55755470e-05]]
>>> sd.header.comments 
>>> sd.metadata.keys() 
>>> sd.write(join(directory, 'RANDOM_001_02._3262K.spdx')
... 
__init__(path: str, **kwargs: Any)[source]#
Parameters:
  • path (str) –

  • kwargs (Any) –

__str__() str[source]#

Return a formatted string representation of the Sekonic spectral distribution.

Returns:

Formatted string representation.

Return type:

str

Examples

>>> from os.path import dirname, join
>>> from colour import SpectralShape
>>> directory = join(dirname(__file__), 'tests', 'resources')
>>> sd = SpectralDistribution_UPRTek(
...     join(directory, 'ESPD2021_0104_231446.xls'))
>>> print(sd.read().align(SpectralShape(380, 780, 10)))
... 
UPRTek
======

Path                  : ...
Spectral Quantity     : irradiance
Reflection Geometry   : None
Transmission Geometry : None
Bandwidth (FWHM)      : None
Bandwidth Corrected   : None

Header
------

Manufacturer           : UPRTek
Catalog Number         : None
Description            : None
Document Creator       : None
Unique Identifier      : None
Measurement Equipment  : CV600
Laboratory             : None
Report Number          : None
Report Date            : 2021/01/04_23:14:46
Document Creation Date : None
Comments               : {...}

Spectral Data
-------------

[[  3.80000000e+02   3.02670000e-02]
 [  3.90000000e+02   3.52230000e-02]
 [  4.00000000e+02   1.93250000e-02]
 [  4.10000000e+02   2.94260000e-02]
 [  4.20000000e+02   8.76780000e-02]
 [  4.30000000e+02   6.32578000e-01]
 [  4.40000000e+02   3.62565900e+00]
 [  4.50000000e+02   1.42069180e+01]
 [  4.60000000e+02   1.70112970e+01]
 [  4.70000000e+02   1.19673130e+01]
 [  4.80000000e+02   8.42736200e+00]
 [  4.90000000e+02   7.97729800e+00]
 [  5.00000000e+02   8.71903600e+00]
 [  5.10000000e+02   9.55321500e+00]
 [  5.20000000e+02   9.90610500e+00]
 [  5.30000000e+02   9.91394400e+00]
 [  5.40000000e+02   9.74738000e+00]
 [  5.50000000e+02   9.53404900e+00]
 [  5.60000000e+02   9.27392200e+00]
 [  5.70000000e+02   9.02323400e+00]
 [  5.80000000e+02   8.91788800e+00]
 [  5.90000000e+02   9.11454600e+00]
 [  6.00000000e+02   9.55787100e+00]
 [  6.10000000e+02   1.00600760e+01]
 [  6.20000000e+02   1.04846200e+01]
 [  6.30000000e+02   1.05679540e+01]
 [  6.40000000e+02   1.04359870e+01]
 [  6.50000000e+02   9.82122300e+00]
 [  6.60000000e+02   8.77578300e+00]
 [  6.70000000e+02   7.56471800e+00]
 [  6.80000000e+02   6.29808600e+00]
 [  6.90000000e+02   5.15623400e+00]
 [  7.00000000e+02   4.05390600e+00]
 [  7.10000000e+02   3.06638600e+00]
 [  7.20000000e+02   2.19250000e+00]
 [  7.30000000e+02   1.53922800e+00]
 [  7.40000000e+02   1.14938200e+00]
 [  7.50000000e+02   9.05095000e-01]
 [  7.60000000e+02   6.90947000e-01]
 [  7.70000000e+02   5.08426000e-01]
 [  7.80000000e+02   4.11766000e-01]]
read() SpectralDistribution_Sekonic[source]#

Read and parses the spectral data from a given Sekonic Pseudo-XLS file.

Returns:

Sekonic spectral distribution.

Return type:

colour.SpectralDistribution_Sekonic

Examples

>>> from os.path import dirname, join
>>> from colour import SpectralShape
>>> directory = join(dirname(__file__), 'tests', 'resources')
>>> sd = SpectralDistribution_Sekonic(
...     join(directory, 'RANDOM_001_02._3262K.csv'))
>>> print(sd.read().align(SpectralShape(380, 780, 10)))
... 
Sekonic
=======

Path                  : ...
Spectral Quantity     : irradiance
Reflection Geometry   : None
Transmission Geometry : None
Bandwidth (FWHM)      : None
Bandwidth Corrected   : None

Header
------

Manufacturer           : Sekonic
Catalog Number         : None
Description            : None
Document Creator       : None
Unique Identifier      : None
Measurement Equipment  : None
Laboratory             : None
Report Number          : None
Report Date            : 15/03/2021 3:44:14 p.m.
Document Creation Date : None
Comments               : {...}

Spectral Data
-------------

[[  3.80000000e+02   1.69406589e-21]
 [  3.90000000e+02   2.11758237e-22]
 [  4.00000000e+02   1.19813650e-05]
 [  4.10000000e+02   1.97110530e-05]
 [  4.20000000e+02   2.99661440e-05]
 [  4.30000000e+02   6.38192720e-05]
 [  4.40000000e+02   1.68909683e-04]
 [  4.50000000e+02   3.31902935e-04]
 [  4.60000000e+02   3.33143020e-04]
 [  4.70000000e+02   2.30227481e-04]
 [  4.80000000e+02   1.66981976e-04]
 [  4.90000000e+02   1.64439844e-04]
 [  5.00000000e+02   2.01534538e-04]
 [  5.10000000e+02   2.57840526e-04]
 [  5.20000000e+02   3.04612651e-04]
 [  5.30000000e+02   3.41368344e-04]
 [  5.40000000e+02   3.63639323e-04]
 [  5.50000000e+02   3.87050648e-04]
 [  5.60000000e+02   4.21619130e-04]
 [  5.70000000e+02   4.58150520e-04]
 [  5.80000000e+02   5.01176575e-04]
 [  5.90000000e+02   5.40883630e-04]
 [  6.00000000e+02   5.71256795e-04]
 [  6.10000000e+02   5.83703280e-04]
 [  6.20000000e+02   5.57688472e-04]
 [  6.30000000e+02   5.17328095e-04]
 [  6.40000000e+02   4.39994939e-04]
 [  6.50000000e+02   3.62766819e-04]
 [  6.60000000e+02   2.96465587e-04]
 [  6.70000000e+02   2.43966802e-04]
 [  6.80000000e+02   2.04134776e-04]
 [  6.90000000e+02   1.75304012e-04]
 [  7.00000000e+02   1.52887544e-04]
 [  7.10000000e+02   1.29795619e-04]
 [  7.20000000e+02   1.03122693e-04]
 [  7.30000000e+02   8.77607820e-05]
 [  7.40000000e+02   7.61524130e-05]
 [  7.50000000e+02   7.06516880e-05]
 [  7.60000000e+02   3.72199210e-05]
 [  7.70000000e+02   3.63058860e-05]
 [  7.80000000e+02   3.55755470e-05]]