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McSpooder/seaborn visualization

Created July 22, 2020 18:28
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normal distributions of each label
Raw
seaborn visualization
sMCI_df = clin[clin["label"] == "sMCI"]
pMCI_df = clin[clin["label"] == "pMCI"]
kde_kws = {"color": "orange", "lw": 2, "label": "sMCI", "shade":True}
sns.distplot(sMCI_df["AGE"], kde_kws=kde_kws, hist=False)
kde_kws = {"color": "red", "lw": 2, "label": "pMCI", "shade":True}
sns.distplot(pMCI_df["AGE"], color="magenta", kde_kws=kde_kws, hist=False)
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