"""
UPRTek and Sekonic Spectral Data
================================
Define the input and output objects for *UPRTek* and *Sekonic*
*Pseudo-XLS*/*CSV* spectral data files.
- :class:`colour.SpectralDistribution_UPRTek`
- :class:`colour.SpectralDistribution_Sekonic`
"""
from __future__ import annotations
import csv
import json
import os
import re
from collections import defaultdict
from pathlib import Path
from colour.hints import Any, cast
from colour.io import SpectralDistribution_IESTM2714
from colour.utilities import as_float_array, as_float_scalar
__author__ = "Colour Developers"
__copyright__ = "Copyright 2013 Colour Developers"
__license__ = "BSD-3-Clause - https://opensource.org/licenses/BSD-3-Clause"
__maintainer__ = "Colour Developers"
__email__ = "colour-developers@colour-science.org"
__status__ = "Production"
__all__ = [
"SpectralDistribution_UPRTek",
"SpectralDistribution_Sekonic",
]
[docs]
class SpectralDistribution_UPRTek(SpectralDistribution_IESTM2714):
"""
Implement support to read and write *IES TM-27-14* spectral data XML file
from a *UPRTek* *Pseudo-XLS* file.
Parameters
----------
path
Path for *UPRTek* *Pseudo-XLS* file.
Attributes
----------
- :attr:`~colour.SpectralDistribution_UPRTek.metadata`
Methods
-------
- :meth:`~colour.SpectralDistribution_UPRTek.__init__`
- :meth:`~colour.SpectralDistribution_UPRTek.__str__`
- :meth:`~colour.SpectralDistribution_UPRTek.read`
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.align(SpectralShape(380, 780, 10)))
... # doctest: +ELLIPSIS
UPRTek
======
<BLANKLINE>
Path : ...
Spectral Quantity : irradiance
Reflection Geometry : None
Transmission Geometry : None
Bandwidth (FWHM) : None
Bandwidth Corrected : None
<BLANKLINE>
Header
------
<BLANKLINE>
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 : {...}
<BLANKLINE>
Spectral Data
-------------
<BLANKLINE>
[[ 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]]
>>> sd.header.comments
'{"Model Name": "CV600", "Serial Number": "19J00789", \
"Time": "2021/01/04_23:14:46", "Memo": [], "LUX": 695.154907, \
"fc": 64.605476, "CCT": 5198.0, "Duv": -0.00062, "I-Time": 12000.0, \
"X": 682.470886, "Y": 695.154907, "Z": 631.635071, "x": 0.339663, \
"y": 0.345975, "u\\'": 0.209915, "v\\'": 0.481087, "LambdaP": 456.0, \
"LambdaPValue": 18.404581, "CRI": 92.956993, "R1": 91.651062, \
"R2": 93.014732, "R3": 97.032013, "R4": 93.513229, "R5": 92.48259, \
"R6": 91.48687, "R7": 93.016129, "R8": 91.459312, "R9": 77.613075, \
"R10": 86.981613, "R11": 94.841324, "R12": 74.139542, "R13": 91.073837, \
"R14": 97.064323, "R15": 88.615669, "TLCI": 97.495056, "TLMF-A": 1.270032, \
"SSI-A": 44.881924, "Rf": 87.234917, "Rg": 98.510712, "IRR": 2.607891}'
>>> sd.metadata.keys()
dict_keys(['Model Name', 'Serial Number', 'Time', 'Memo', 'LUX', 'fc', \
'CCT', 'Duv', 'I-Time', 'X', 'Y', 'Z', 'x', 'y', "u'", "v'", 'LambdaP', \
'LambdaPValue', 'CRI', 'R1', 'R2', 'R3', 'R4', 'R5', 'R6', 'R7', 'R8', 'R9', \
'R10', 'R11', 'R12', 'R13', 'R14', 'R15', 'TLCI', 'TLMF-A', 'SSI-A', 'Rf', \
'Rg', 'IRR'])
>>> sd.write(join(directory, "ESPD2021_0104_231446.spdx"))
... # doctest: +SKIP
"""
_DELIMITER: str = "\t"
_SPECTRAL_SECTION: str = "380"
_SPECTRAL_DATA_PATTERN: str = "(\\d{3})nm"
[docs]
def __init__(self, path: str | Path, **kwargs: Any) -> None:
self._metadata: dict = {}
super().__init__(path, **kwargs)
@property
def metadata(self) -> dict:
"""
Getter property for the metadata.
Returns
-------
:class:`dict`
Metadata.
"""
return self._metadata
[docs]
def __str__(self) -> str:
"""
Return a formatted string representation of the *UPRTek* spectral
distribution.
Returns
-------
:class:`str`
Formatted string representation.
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)))
... # doctest: +ELLIPSIS
UPRTek
======
<BLANKLINE>
Path : ...
Spectral Quantity : irradiance
Reflection Geometry : None
Transmission Geometry : None
Bandwidth (FWHM) : None
Bandwidth Corrected : None
<BLANKLINE>
Header
------
<BLANKLINE>
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 : {...}
<BLANKLINE>
Spectral Data
-------------
<BLANKLINE>
[[ 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]]
"""
representation = super().__str__()
return representation.replace(
(
"IES TM-27-14 Spectral Distribution\n"
"=================================="
),
"UPRTek\n======",
)
[docs]
def read(self) -> SpectralDistribution_UPRTek:
"""
Read and parses the spectral data from a given *UPRTek* *CSV* file.
Returns
-------
:class:`colour.SpectralDistribution_UPRTek`
*UPRTek* spectral distribution.
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)))
... # doctest: +ELLIPSIS
UPRTek
======
<BLANKLINE>
Path : ...
Spectral Quantity : irradiance
Reflection Geometry : None
Transmission Geometry : None
Bandwidth (FWHM) : None
Bandwidth Corrected : None
<BLANKLINE>
Header
------
<BLANKLINE>
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 : {...}
<BLANKLINE>
Spectral Data
-------------
<BLANKLINE>
[[ 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]]
"""
path = cast(str, self.path)
def as_array(a: Any) -> list:
"""
Input list of numbers and converts each element to
float data type.
"""
return [as_float_scalar(e) for e in a]
spectral_sections = defaultdict(list)
with open(path, encoding="utf-8") as csv_file:
content = csv.reader(csv_file, delimiter=self._DELIMITER)
spectral_section = 0
for row in content:
if not "".join(row).strip():
continue
attribute, tokens = row[0], row[1:]
value = tokens[0] if len(tokens) == 1 else tokens
match = re.match(self._SPECTRAL_DATA_PATTERN, attribute)
if match:
wavelength = match.group(1)
if wavelength == self._SPECTRAL_SECTION:
spectral_section += 1
spectral_sections[spectral_section].append([wavelength, value])
else:
for method in (int, float, as_array):
try:
self._metadata[attribute] = method(
value # pyright: ignore
)
break
except Exception:
self._metadata[attribute] = value
self.name = os.path.splitext(os.path.basename(path))[0]
spectral_data = as_float_array(
spectral_sections[sorted(spectral_sections.keys())[-1]]
)
self.wavelengths = spectral_data[..., 0]
self.values = spectral_data[..., 1]
self.header.comments = json.dumps(self._metadata)
self.header.report_date = self._metadata.get("Time")
self.header.measurement_equipment = self._metadata.get("Model Name")
self.header.manufacturer = "UPRTek"
self.spectral_quantity = "irradiance"
return self
[docs]
class SpectralDistribution_Sekonic(SpectralDistribution_UPRTek):
"""
Implement support to read and write *IES TM-27-14* spectral data XML file
from a *Sekonic* *CSV* file.
Parameters
----------
path
Path for *Sekonic* *CSV* file.
Attributes
----------
- :attr:`~colour.SpectralDistribution_UPRTek.metadata`
Methods
-------
- :meth:`~colour.SpectralDistribution_Sekonic.__init__`
- :meth:`~colour.SpectralDistribution_Sekonic.__str__`
- :meth:`~colour.SpectralDistribution_Sekonic.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)))
... # doctest: +ELLIPSIS
Sekonic
=======
<BLANKLINE>
Path : ...
Spectral Quantity : irradiance
Reflection Geometry : None
Transmission Geometry : None
Bandwidth (FWHM) : None
Bandwidth Corrected : None
<BLANKLINE>
Header
------
<BLANKLINE>
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 : {...}
<BLANKLINE>
Spectral Data
-------------
<BLANKLINE>
[[ 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 # doctest: +SKIP
>>> sd.metadata.keys() # doctest: +SKIP
>>> sd.write(join(directory, "RANDOM_001_02._3262K.spdx"))
... # doctest: +SKIP
"""
_DELIMITER: str = ","
_SPECTRAL_SECTION: str = "380"
_SPECTRAL_DATA_PATTERN: str = "Spectral Data (\\d{3})\\[nm\\]"
[docs]
def __init__(self, path: str | Path, **kwargs: Any) -> None:
super().__init__(path, **kwargs)
[docs]
def __str__(self) -> str:
"""
Return a formatted string representation of the *Sekonic* spectral
distribution.
Returns
-------
:class:`str`
Formatted string representation.
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)))
... # doctest: +ELLIPSIS
UPRTek
======
<BLANKLINE>
Path : ...
Spectral Quantity : irradiance
Reflection Geometry : None
Transmission Geometry : None
Bandwidth (FWHM) : None
Bandwidth Corrected : None
<BLANKLINE>
Header
------
<BLANKLINE>
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 : {...}
<BLANKLINE>
Spectral Data
-------------
<BLANKLINE>
[[ 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]]
"""
representation = super().__str__()
return representation.replace(
"UPRTek\n======",
"Sekonic\n=======",
)
[docs]
def read(self) -> SpectralDistribution_Sekonic:
"""
Read and parses the spectral data from a given *Sekonic* *Pseudo-XLS*
file.
Returns
-------
:class:`colour.SpectralDistribution_Sekonic`
*Sekonic* spectral distribution.
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)))
... # doctest: +ELLIPSIS
Sekonic
=======
<BLANKLINE>
Path : ...
Spectral Quantity : irradiance
Reflection Geometry : None
Transmission Geometry : None
Bandwidth (FWHM) : None
Bandwidth Corrected : None
<BLANKLINE>
Header
------
<BLANKLINE>
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 : {...}
<BLANKLINE>
Spectral Data
-------------
<BLANKLINE>
[[ 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]]
"""
super().read()
self.header.report_date = self._metadata.get("Date Saved")
self.header.manufacturer = "Sekonic"
return self
