Wavelength | github repository for the Wavelength server | Runtime Evironment library

I'm trying to import some fluorescence data into a package in R. For unknown reasons, my fluorometer software doesn't give me an option to export in the format the package traditionally takes.

The package has a way of creating custom import functions explained here. My data can be found here.

In my data, Cells $A2:$A50 are excitation wavelengths (exc), cells B$1:BP$1 are emission wavelengths (em), and all other cells (B2:BP50) are intensity/fluorescence (x).

I'm relatively new to R, and since my machine won't just give me the proper format, I'm not sure how to go about taking the documentation and making it work for me. Any help and tips would be fantastic.

Thanks.

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I've created a function in my serializers.py that call an external API and give me a dict back. How can I use the output from return downloads in the get_all_files as a field in class Meta?

After the first answer, I've got the following error message:

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Very basic issue that I do not understand:
My variable step has be 1 or 5 and I want to check it with if statement, and raise an error if the condition is not verified.

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I have a data frame (mdata -> 2106796 x 3) that has a column named "wavelength". This column has sequences of numbers from 350 to 1349, 1401 to 1799, and 1951 to 2999 (from 350 to 2999 some numbers were excluded). I was checking the data randomly and I observed that some "wavelength" for particular "ID" have the counting backward, from 2999 to 350 (with all the missing numbers mentioned above). I found a way to overcome this problem using this code: mdata <- mdata %>% arrange(targt_ID, wavelength)

Now I want to check (e.g.: TRUE or FALSE) if I still have some of the "wavelength" sequences in the normal format or backward (this will be useful for other identical data frames).

This is how my data looks like (most of it):

targt_ID ID wavelength 1 c1 350 1 c1 351 1 c1 352 1 c1 ... 1 c1 2998 1 c1 2999 2 c2 350 2 c2 351 2 c2 352 2 c2 ... 2 c2 2998 2 c2 2999 ........ .. ....

This is how my data looks like (in specific "ID"):

targt_ID ID wavelength 46 t5 2999 46 t5 2998 46 t5 2997 46 t5 ... 46 t5 351 46 t1 350 47 t7 2999 47 t7 2998 47 t7 2997 47 t7 ... 47 t7 351 47 t7 350 ........ .. ....

Any help will be much appreciated.

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I am trying to convert a netCDF file from GOES Full disk to geotiff but have an error on last step.

Apparently the process of generating the tif from NC works and fulldisk.tif is generated but not georeferenced and I need it to overlay in a leaflet map.

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I have a spectrum (of an oil sample) as a 2D array in a cvs file that i want to find the peaks for in wavelengths 600 - 1800 cm-1. I've tried the scipy.signal.find_peaks but that takes a 1D array and I have a 2D array with the wavelengths and corresponding peak values. any help would be appreactiated since im very beginner at python

Edit: I also tried doing the following:

from detecta import detect_peaks

ind = detect_peaks(df)

where df is the name of my array (which has two columns) and an error pops up: ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 2 dimension(s) and the array at index 1 has 1 dimension(s)

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I am trying to use programming to increase my understanding of Fourier optics. I know that physically and mathematically the Fourier transform of a Fourier transform is inverted -> F{F{f(x)} = f(-x). I am having two problems 1) The second transform doesn't return anything like the original function except in the simple gaussian case (which makes it even more confusing), and 2) there seems to be some scaling factor that requires me to "zoom in" and distort the transformed image to a point that it is much less helpful (as illustrated below). **Editted with suggestions from @Cris Luengo

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I have data from a spectrometer who takes a measure every 5min or so, that I put in a CSV file.

The first column represents the time of the measure, the next two thousand columns represent the intensity of light at a given wavelength.

I'd like to get a 3D representation of how the spectrum evolves during the day, but so far I'm struggling to even plot a single spectrum of a given time.

I tried the following:

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There are much more information overlap in my figure, I want to make it more clear, how to modify my code?

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