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Given how the data it laid out in the xlsb file, reading row by row one way or an other is the only option.
I didn't get much time to work on it, but I'm generally trying to improve performance. After all, reading huge files was the original motivation for writing this.
I got a workaround which involves using Powershell to convert xlsb to csv then read into pandas dataframe. It's working for now but it would be nice to improve performance when reading files with pyxlsb
Hi, I work with xlsb with a large number of rows so I wonder if there is a way to avoid read data in rows by rows as it's taking a long time.
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