About the CSV file converting the float array to string, it's because of the power notation. There's a letter in the middle of the numbers, so Pandas writes it as float, but reads it as string. As I said previously, saving the dataframe as a pickle file works, but it takes too long to read compared to saving the audios' column separately as a
how to convert a webm file to mp3 with the same quality? and master the compression of wav and mp3 file ? all of that in python Locked post. New comments cannot be posted.
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