colour.SpectralDistribution_Sekonic#

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

Bases: SpectralDistribution_UPRTek

Provide support for reading and writing IES TM-27-14 spectral data XML files from Sekonic CSV files.

This class extends the UPRTek spectral distribution functionality to handle Sekonic spectrometer data files. It enables conversion between Sekonic CSV format and the standardized IES TM-27-14 XML format.

Parameters:

path (str | PathLike) – Path for Sekonic CSV file.
kwargs (Any)

Attributes

metadata

Methods

__init__()
__str__()
read()

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 | PathLike, **kwargs: Any) → None[source]#

Parameters:

path (str | PathLike)
kwargs (Any)

Return type:

None

__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 parse the spectral data from the specified Sekonic Pseudo-XLS file.

Returns:: Sekonic spectral distribution.
Return type:: colour.SpectralDistribution_Sekonic
Raises:: IOError – If the file cannot be read.

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]]

colour.SpectralDistribution_Sekonic#

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