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segmentation of data #8

@lchenbb

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@lchenbb

In our current histogram, the data are segmented using common pandas.cut function with specific number of bins. However, this segmentation scheme tends to be useless when trying to get the positive/negative percentage. This drawback results from the nature of our data: dense around the origin while having few points far away from origin. The naive segmentation will thus create a bin around the origin (say (-100, 100)) containing a lot of data. Perhaps we need to plot the positive part and negative part separately.

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