INNER CODE UNIT · Python

n_bins

open2c/bioframe · src/bioframe/extras.py:148

        n_bins = int(np.ceil(clen / binsize))
        binedges = np.arange(0, (n_bins + 1)) * binsize
        binedges[-1] = clen
        return pd.DataFrame(
            {"chrom": [chrom] * n_bins, "start": binedges[:-1], "end": binedges[1:]},
            columns=["chrom", "start", "end"],
        )

    bintable = pd.concat(map(_each, chromsizes.keys()), axis=0, ignore_index=True)

    if rel_ids:
        bintable["rel_id"] = bintable.groupby("chrom").cumcount()

    # if as_cat:
    #     bintable['chrom'] = pd.Categorical(
    #         bintable['chrom'],
    #         categories=list(chromsizes.keys()),
    #         ordered=True)

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