How to draw the Probability Density Function (PDF) plot regardless of sampe size?

[amylopectin]

It's been a while since I've used this math (1980's), but I believe that you must apply normalization to the vertical axis.
This post seems to do that: https://stackoverflow.com/a/24920327

Thank you so much for the link. I looked through codes, and I think if the sample size is so small, it's not possible to draw PDF curve. This approach is more correct.

In R, I can draw PDF curve regardless of sample size. In the below R code, Even though sample size is less than 10, the PDF curve is the same because R estimates the full PDF curve in given mean and Stdev. So I was looking for the same functions in Python.

I simply wanted to draw the consistent PDF curve because I wanted to show the full PDF curve in given mean and Stdev, but it's just a estimation. If sample size is so small, I think I can't present the PDF curve. In terms of this, I think Python codes for PDF is more correct. Anyhow if the sample size is more than 30, it seems to follow normal distribution, so I do not worry about limited sample size.

Thank you so much!! I learned a lot!!

AGW<-rnorm(100, mean=45, sd=9)
Genotype<-c(rep("CV1",100))

df<- data.frame (Genotype, AGW)

ggplot () +
  stat_function(data=df, aes(x=AGW), color="Black", size=1, fun = dnorm, 
                args = c(mean = mean(df$AGW), sd = sd(df$AGW))) + 
  scale_x_continuous(breaks = seq(0,90,10),limits = c(0,90)) + 
  scale_y_continuous(breaks = seq(0,0.05,0.01), limits = c(0,0.05)) +
  labs(x="Grain weight (mg)", y="Frequency") +
  theme_grey(base_size=15, base_family="serif")+
  theme(axis.line= element_line(size=0.5, colour="black")) +
  windows(width=6, height=5)