I have looked for solutions already but could not find one that worked for my problem. I am trying to plot a histogram with a density function showing the density on the y-axis. `meanopa` are average logreturns of the S&P500.
What I do not understand is the following.

> 
> norm\_hist : bool, optional
>  If True, the histogram height shows a density rather than a count.
>  This is implied if a KDE or fitted density is plotted.
> 
> 
> 

Since kde=True in my case, I am wondering why there is the number of observations on the y-axis.

```
sns.distplot(meanopa, hist=True, kde=True, bins=20, color = 'darkblue',
             hist_kws={'edgecolor':'black'}, kde_kws={'linewidth': 4})

```

Thanks in advance and again I would appreciate any sort of support.

Cheers!

[![enter image description here](https://i.stack.imgur.com/uMUnE.png)](https://i.stack.imgur.com/uMUnE.png)
[![enter image description here](https://i.stack.imgur.com/4vtB7.png)](https://i.stack.imgur.com/4vtB7.png)