python, How to get smoother value?

sns.distplot(doc.ctr_daily_moving_probs, bins=100, color='k')

Somehow seaborn draws smoother line than actual data.

For example, for x-value 0.18, actual data is like 11 but value on smoother line is about 3.

How would I get value 3 for the x-value when given the list of data?

The actual data are:

> [0.25769641467531185, 0.25769641467531185, 0.25769641467531185,
> 0.25769641467531185, 0.15655577299412943, 0.15655577299412943, 0.19569471624266177, 0.15655577299412943, 0.19569471624266177, 0.19569471624266177, 0.15655577299412943, 0.19569471624266177, 0.19569471624266177, 0.15655577299412943, 0.19569471624266177, 0.19569471624266177, 0.19569471624266177, 0.2968353579238442, 0.2968353579238442, 0.2981526713477847, 0.31838079968402117, 0.2792418564354889, 0.2792418564354889, 0.2792418564354889, 0.21724015800283883, 0.17810121475430643, 0.1376449580818335, 0.21855747142677937, 0.21855747142677937, 0.21855747142677937, 0.21855747142677937, 0.21855747142677937, 0.25769641467531174, 0.25769641467531174, 0.15655577299412934, 0.1956947162426617, 0.25769641467531174, 0.25769641467531174, 0.25769641467531174, 0.21855747142677937, 0.25769641467531174, 0.35883705635649416, 0.35883705635649416, 0.25769641467531174, 0.25769641467531174, 0.25769641467531174, 0.2968353579238441, 0.2968353579238441, 0.234833659491194, 0.234833659491194, 0.33597430117237637, 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0.1781012147543062, 0.16798715058618796, 0.12884820733765562, 0.12884820733765562, 0.12884820733765562, 0.08970926408912326, 0.12884820733765562, 0.07827788649706442, 0.07827788649706442, 0.07827788649706442, 0.1794185281782468, 0.24142022661089685, 0.24142022661089685, 0.24142022661089685, 0.24142022661089685, 0.26670538703119245, 0.26670538703119245, 0.26670538703119245, 0.20470368859854238, 0.20470368859854238, 0.20470368859854238, 0.20470368859854238, 0.22998884901883798, 0.33112949070002035, 0.2691277922673703, 0.2691277922673703, 0.2691277922673703, 0.22998884901883798, 0.25888617521346147, 0.20831585437287034, 0.14631415594022026, 0.14631415594022026, 0.10717521269168791, 0.1577455335322791, 0.25888617521346147, 0.2906732340275474, 0.358100328481669, 0.358100328481669, 0.5212426685955015, 0.5603816118440337, 0.5098112910034426, 0.7120925743658073, 0.651408189357098, 0.6176946421300371, 0.5785556988815047, 0.4154133587676723, 0.47741505720032235, 0.5785556988815047, 0.3004189342582532, 0.3257040946785488, 0.39313118913267037, 0.39313118913267037, 0.39313118913267037, 0.33112949070002035, 0.2691277922673703, 0.3449832735282571, 0.3196981131079615, 0.2590137280992521, 0.30958404893984326, 0.3715857473724933, 0.33244680412396094, 0.3438781817160198, 0.31016463448895903, 0.33039276282519553, 0.28993650615272254, 0.23936618531213139, 0.1773644868794814, 0.1773644868794814, 0.1659331092874225, 0.09850601483330092, 0.14570498095118606, 0.3479862643135508, 0.38712520756208313, 0.4996972268353244, 0.5388361700838568, 0.4996972268353244, 0.4996972268353244, 0.43227013238120277, 0.2502169773550745, 0.21107803410654213, 0.0985060148333009, 0.0985060148333009, 0.13764495808183325, 0.13764495808183325, 0.1767839013303656, 0.15655577299412912, 0.15655577299412912, 0.15655577299412912, 0.15655577299412912, 0.11741682974559677, 0.21855747142677917, 0.3816998115406116, 0.42083875478914395, 0.4599776980376763, 0.4599776980376763, 0.4599776980376763, 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Answer

You can access the plot data with:

# capture the subplot
ax = sns.distplot(s, bins=100, color='k')

# subplot has only one line
line = ax.lines[0]

# line data
smooth_x, smooth_y = line.get_data()

# extract the graph value at (approx) given point:
smooth_y[np.searchsorted(smooth_x, 0.18)]

out:

3.337783629904326