Bug in examples of heatmap and contour. z-array should be transposed

[empet]

All examples of heatmaps and contour plots should be modified if their z-array is of size (m,n), eventually with m=n, because
the plots do not display the right information I discovered a bug within heatmap1(), heatmap2(), and contour(s).
To illustrate it I take an example of heatmap, but not the one in the function heatmap1(), because there the z-array exhibits some symmetry.
First the plot of a heatmap with plotly.py

import plotly.graph_objects as go
fig= go.Figure(go.Heatmap(z=[[1, 24, 30], [28, 18, 40], [ 36, 54, 7]]))
fig.update_layout(width=400, height=400)

Plot the same heatmap with PlotlyJS.jl:

  
using PlotlyJS
plasma = [[0.0, "#0c0786"],
          [0.1, "#40039c"],
          [0.2, "#6a00a7"],
          [0.3, "#8f0da3"],
          [0.4, "#b02a8f"],
          [0.5, "#cb4777"],
          [0.6, "#e06461"],
          [0.7, "#f2844b"],
          [0.8, "#fca635"],
          [0.9, "#fcce25"],
          [1.0, "#eff821"]] 
plot(heatmap(z=[1 24 30; 28 18 40; 36 54  7], colorscale=plasma))

The last image is not the right heatmap. But running with the transposed array:

plot(heatmap(z=[1 24 30; 28 18 40; 36 54  7]', colorscale=plasma))

we get the right one.
Update
Writing fig to json, from plotly.py:

import plotly.io as pio
fig.write_json("plpy.json", pretty=True)

fig.data.z is listed as follows:

      "z": [
        [
          1,
          24,
          30
        ],
        [
          28,
          18,
          40
        ],
        [
          36,
          54,
          7
        ]
      ]

while the same portion of json file created by plotlyJS.jl is different, because Julia has column major order:

 "z": [
        [
          1,
          28,
          36
        ],
        [
          24,
          18,
          54
        ],
        [
          30,
          40,
          7
        ]
      ]

Therefore plotly.js interprets the Julia array columns as rows, and this leads to a wrong heatmap, contour or surface plot.
end update
For both, heatmap and contour it is more obvious that the z-array must be transposed, when we are setting not only z, but also, x, and y of different lengths:

a, b = -1., 1.
c, d= 0., 1.
nx, ny= 200, 100
hx = (b-a)/(nx-1)
x = a:hx:b
hy = (d-c)/(ny-1)
y=c:hy:d
X = x' .* ones(length(y))
Y = ones(length(x))'.*y
Z= sin.(pi*pi*(X.*X+Y.*Y));
print(size(Z))
plot(contour(x=x, y=y, z=Z), Layout(width=650, height=350))

The corresponding plot:

has the xaxis range different from [-1,1], and yaxis range is not [0,1]. Running the same code with z=Z' we get the right contour plot:

PlotlyJS.jl version 0.13.1

[empet]

This issue has been fixed. By default, the json representation of the pl=Plot(heatmap(....)) contains the key-value: "transpose":true.