Plot series data by Plots

General Usage
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1

Hi commuinty,
Q1: Is there a way to use x, y and legend (as below) to plot data in series?
#y matrix: row corresponding to each x value, column for each series (marked by legend) of data

x=[2 4 6 8 10 12]#corresponding to each row
y= [10.6667   10.3333   8.0      14.6667;
   10.0       7.33333  7.66667  17.0;   
    8.0       7.33333  8.33333  12.0;   
    4.33333   5.33333  7.33333  11.3333;
    4.66667   4.0      4.0      10.6667;
    4.33333   3.33333  4.0      12.0]

legend=["a" "b" "c" "d"] #each series-column
using Plots
#expected points distribution as like:
plot(y,legend) #but x and legend not accordingly specified

#trial1:
for i in 1:4 #for 4 series
   if i==1
      plot(x,y[:,i],label=legend[i])
   else
      plot!(x,y[:,i],label=legend[i])
   end
end #not generating any graph

According to
http://docs.juliaplots.org/latest/examples/gr/#functions-adding-data-and-animations

#trial2
for i in 1:4 #for 4 series
   if i==1
      p=plot(x,y[:,i],label=legend[i])
   else
      push!(p,x,y[:,i])#,label=legend[i] #not work probably as not animation?
   end
end

Q2: Also, within a for loop, scatter(,label=legend[i]) tend to replicate the mark of i-th legend the number of row times. This post was discussing about the same problem, but the suggested commands to avoid replication seems not compiled, while the one for animation (in trial2) doesn’t work as well.

2

EDIT: @BLI 's solution is better

3

Is this what you want?

image
image1554×1033 81.4 KB

If so, make x a vector, and not a row matrix:

x=[2, 4, 6, 8, 10, 12]#corresponding to each row
2 Likes
4

you need a package, I used Plots

using Plots

type that, you’ll get an error

ERROR: ArgumentError: Package boogers not found in current path:
- Run `import Pkg; Pkg.add("Plots")` to install the Plots package.

just highlight

import Pkg; Pkg.add("Plots")

then renter ‘using Plots’, any you’ll be set

then to make a line graph just enter

plot(x,y,)

I’d give my dataplot a name like “z”

z= dataframe( x=[2 ,4, 6, 8, 10, 12], y= [10.6667, 10.3333, 8.0, 14.6667, 10.0     ])

then enter

plot(z.x, z.y)

5

Exactly, thank you！

6

This would be helpful for dataframes, thank you.

7

Sure thing, also sorry for overexplaing stuff like how to add packages, I have a tendency to jump in without completely reading things.