Allow frequencies to be used in input files
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@ -71,7 +71,8 @@ Reading CSV-Files
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The format of a file has to be either structured text (e.g. CSV) or astropy ECSV. The format of the file will be automatically detected during read.
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In case of structured text, the units of the columns have to be defined in the column header within square brackets
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(e.g. "wavelength [nm]"). The file must contain two columns with units: wavelength and the spectral quantity:
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(e.g. "wavelength [nm]"). The file must contain two columns with units: wavelength/frequency and the spectral quantity.
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The first column can be either a wavelength or a frequency.
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+-----------------+------------------------------+
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| wavelength [nm] | emission [W/(nm\*m^2\*sr)] |
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@ -103,7 +103,15 @@ def readCSV(file: str, units: list = None, format_: str = None) -> Table:
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data[data.colnames[i]].unit = units_header[i]
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if units is not None and len(units) == len(data.columns):
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for i in range(len(data.columns)):
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if data[data.colnames[i]].unit.is_equivalent(u.Hz) and units[i].is_equivalent(u.m):
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data[data.colnames[i]] = data[data.colnames[i]].to(units[i], equivalencies=u.spectral())
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else:
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try:
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data[data.colnames[i]] = data[data.colnames[i]].to(units[i])
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except:
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data[data.colnames[i]] = data[data.colnames[i]].to(units[i],
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equivalencies=u.spectral_density(
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data[data.colnames[0]]))
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# Use default units
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elif units is not None and len(units) == len(data.columns):
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for i in range(len(data.columns)):
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