为什么 distplot 改变绘制值的范围？

Question

I have an array of values for which I am trying to fit a probability density function. I plotted the histogram using distplot as shown below:

x = [  17.56,
 162.52,
 172.58,
 160.82,
 182.14,
 165.86,
 242.06,
 135.76,
 122.86,
 230.22,
 208.66,
 271.36,
 122.68,
 188.42,
 171.82,
 102.30,
 196.40,
 107.38,
 192.35,
 179.66,
 173.30,
 254.66,
 176.12,
 75.365,
 135.78,
 103.66,
 183.50,
 166.08,
 207.66,
 146.22,
 151.19,
 172.20,
 103.41,
 133.93,
 186.48,]
sns.distplot(x)

and the plot looks like this:

My minimum value in the array is 17 and maximum value is around 250 so I don't understand the range on the x-axis in the figure as I have not added any arguments either. Does sns.displot standardize the data before plotting?

Answer 1

A kde curve fits many gaussian normal curves over the data points. Such a normal curve has an infinite tail, which here is cut off when it gets close enough to zero height.

Note that sns.distplot has been deprecated since seaborn 0.11, and replaced by (in this case) sns.histplot(..., kde=True) . The new kdeplot has a parameter cut= which defaults to zero, cutting the curve at the data limits ( cut is one of the kde_kws in histplot : sns.histplot(x, kde=True, kde_kws={'cut': 0}). ).

import seaborn as sns

x = [17.56, 162.52, 172.58, 160.82, 182.14, 165.86, 242.06, 135.76, 122.86, 230.22, 208.66, 271.36, 122.68, 188.42,
     171.82, 102.30, 196.40, 107.38, 192.35, 179.66, 173.30, 254.66, 176.12, 75.365, 135.78, 103.66, 183.50, 166.08,
     207.66, 146.22, 151.19, 172.20, 103.41, 133.93, 186.48]
sns.histplot(x, kde=True)