plot two columns against each other with local uncertainty bands by windowing

plotwithuncertainty.py

import pandas


def plotwithuncertainty(data: pandas.DataFrame,
                        x: str,
                        y: str,
                        windowlen: int = max(10, round(len(data) / 100)),
                        **pltops) -> None:
    evalobj = data[[x, y]].reset_index().rolling(
        window=windowlen, center=True, on=x)
    wrkset = pandas.DataFrame()
    wrkset.loc[:, 'meanx'] = evalobj[x].mean()
    wrkset.loc[:, 'meany'] = evalobj[y].mean()
    wrkset.loc[:, 'stdy'] = evalobj[y].std()
    wrkset.loc[:, 'lb'] = wrkset['meany'] - 3 * wrkset['stdy']
    wrkset.loc[:, 'ub'] = wrkset['meany'] + 3 * wrkset['stdy']
    wrkset[['meanx', 'lb', 'meany', 'ub']].sort_values(
        'meanx').plot(x='meanx', **pltops)