I am doing measurements with WebDAQ-504 and the data files are stored in *.wdd files. I came across the following webpage and realized that the wdd files store the data in json format: https://kb.mccdaq.com/KnowledgebaseArticle50726.aspx
I tried reading the wdd file using the json module in python but I get the following error message related to encoding format: 'utf-8' codec can't decode byte 0xc5 in position 2: invalid continuation byte
I appreciate it if someone helps with reading the wdd file and convert them to json, numpy array, panda data-frame, or other well-known formats.
P.S.: I have tried converting the data files to csv format. However, a limited number of samples can be converted each time, and for long measurements it needs to be repeated so many times. So, converting all samples to json is prefered.
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Sajad
Hello,
I am doing measurements with WebDAQ-504 and the data files are stored in *.wdd files. I came across the following webpage and realized that the wdd files store the data in json format: https://kb.mccdaq.com/KnowledgebaseArticle50726.aspx
I tried reading the wdd file using the json module in python but I get the following error message related to encoding format: 'utf-8' codec can't decode byte 0xc5 in position 2: invalid continuation byte
I appreciate it if someone helps with reading the wdd file and convert them to json, numpy array, panda data-frame, or other well-known formats.
P.S.: I have tried converting the data files to csv format. However, a limited number of samples can be converted each time, and for long measurements it needs to be repeated so many times. So, converting all samples to json is prefered.
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