INNER CODE UNIT · Python

count_nans_vec

aeturrell/skimpy · src/skimpy/__init__.py:382

    count_nans_vec = xf.isna().sum()
    data_dict = {
        MISSING_COL: count_nans_vec,
        COMPLETE_COL: 100 * count_nans_vec / xf.shape[0],
        NUM_COL_MEAN: _round_series(xf.mean(), 4),
        "sd": _round_series(xf.std(), 4),
    }
    display_quantiles_as_pct = 100
    quantiles_dict = dict(
        zip(
            ["p" + str(int(x * display_quantiles_as_pct)) for x in QUANTILES],
            [_round_series(xf.quantile(x), 4) for x in QUANTILES],
        )
    )
    data_dict.update(quantiles_dict)
    # Create histogram using unicode block elements
    # https://en.wikipedia.org/wiki/Block_Elements
    hist_series = pd.concat(

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