Trying to plot normal distributions from the Distributions package. How do I do this?

**julia>** normalDist = fit(Normal, data)

Normal{Float64}(μ=100.3434334, σ=0.05)

**julia>** plot(normalDist)

**ERROR:** No user recipe defined for Normal{Float64}

Trying to plot normal distributions from the Distributions package. How do I do this?

**julia>** normalDist = fit(Normal, data)

Normal{Float64}(μ=100.3434334, σ=0.05)

**julia>** plot(normalDist)

**ERROR:** No user recipe defined for Normal{Float64}

Which plotting package is this? Try `StatsPlots`

https://github.com/JuliaPlots/StatsPlots.jl/blob/master/README.md

Please quote your code.

It is unclear *what* you want to plot for a distribution. The pdf, the cdf, or something else? In any case, here is a PGFPlotsX example:

```
using PGFPlotsX, Distributions
d = Normal(100.3434334, 0.05)
lo, hi = quantile.(d, [0.01, 0.99])
x = range(lo, hi; length = 100)
@pgf Axis({ xlabel = "x", ylabel = "pdf" },
Plot({thick, blue }, Table(x, pdf.(d, x))))
@pgf Axis({ xlabel = "x", ylabel = "cdf" },
Plot({thick, blue }, Table(x, cdf.(d, x))))
```

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Thank You! StatsPlots works as expected. I was trying the standard Plots package.

Hi, don’t know if there’s still any trouble on this, but you can plot a distribuition using the normal Plots package now. You only have to declare a plot() variable and call it using the distribuition as a parameter. Ex:

p = Plots.plot()

Plots.plot!(p,Geometric(0.6))

Are you sure? Using latest Plots.jl version but still need to get the Distributions’ recipes from StatsPlots:

```
using StatsPlots, Distributions
plot(Geometric(0.6))
```

1 Like

Same for me on the latest Plots release:

```
(jl_P3u1qh) pkg> st
Status `...\Temp\jl_P3u1qh\Project.toml`
[31c24e10] Distributions v0.25.34
[91a5bcdd] Plots v1.24.3
julia> using Plots, Distributions
julia> plot(Geometric(0.6))
ERROR: Cannot convert Geometric{Float64} to series data for plotting
```

1 Like