Hello, im trying to get the array of the discrete probability distribution of a normal distribution:

i have tried:

```
d = Normal() #standard
a = rand(d,1000)
x = pdf.(d, a) #even with just pdf(d,a)
plot(x)
```

but its not working

Hello, im trying to get the array of the discrete probability distribution of a normal distribution:

i have tried:

```
d = Normal() #standard
a = rand(d,1000)
x = pdf.(d, a) #even with just pdf(d,a)
plot(x)
```

but its not working

first do

`using Distributions, Plots`

then your code works on my Julia 1.5.3 (Windows)

can you post what it is returning you (the plot)?

I don’t know what you expect, but if you change your code to

```
using Distributions, Plots
d = Normal() #standard
x = sort!(rand(d,1000))
y = pdf(d, x) #even with just pdf(d,a)
plot(x,y)
```

I see a nice approximation of a gaussian bell curve.

thanks thats what i wanted, i dont understand why using sort!() works though

i dont understand why using sort!() works though

for plotting a series, you want `x`

to be ordered (typically increasing order)

I intentionally changed the names of your variables. Think about a function f(x) = x You basically told Julia to roll a dice several times and plot the result. Assume you rolled x={2,-1,3}. Plotting x in that order clearly is not the graph of f. Ordering the arguments gives the correct result.

In the same spirit, you could change

```
x=sort!(rand(d,1000))
```

to

```
x=-3:0.1:3
```

and plot the result. But of course it is still unclear what you wanted to achieve in the first place.

Note that there is not a clear notion of a discrete normal distribution. And hence the terminology of getting the one array of the probabliity distribution is also a bit unclear.