Aspect ratio with small multiples / subplots

I would like to create small multiples with a fixed aspect ratio. However, there seems to be a but somewhere and only some plots retain the correct aspect ratio.
From what I gathered, setting a fixed aspect ratio with plotly is done as follows: layout(yaxis = list(scaleanchor = "x"))

Consider the follwing example:

df <- data_frame(
  x = rep(1:5,25),
  y = rep(1:5,25),
  g = sort(rep(1:25,5))
)

plots <- df %>%
  split(.$g) %>%
  map(function(x){
    plot_ly(data = x, x = ~x, y = ~y, type = "scatter",mode = "lines") %>% add_lines()
  })

small_mulitples <- subplot(plots,nrows = 5) %>%
  layout(yaxis = list(scaleanchor  = "x")) %>%
  hide_legend()

If I plot small_mulitples, only the first plot (row 1, column 1) has an aspect ratio of 1. The other have an arbitrary aspect ratio.

Here's the link to the interactive version of this plot: https://plot.ly/~rata_zhaw/1/

Interestingly, if I choose the option shareX = T in subplot(), the entire first column has the correct aspect ratio. Nothing changes if I choose shareY = T

small_mulitples <- subplot(plots,nrows = 5, shareX = T) %>%
  layout(yaxis = list(scaleanchor  = "x")) %>%
  hide_legend()

And here's the link to the interactive version of the second plot: https://plot.ly/~rata_zhaw/3/

If I plot any of the plots individually, the aspect ratio is correct:

plots[[10]] %>%
  layout(yaxis = list(scaleanchor  = "x")) %>%
  hide_legend()

Empieza reproduciendo el ejemplo de R proporcionado con subplot(), nrows = 5 y layout(yaxis = list(scaleanchor = "x")); compáralo con los casos shareX = T y de un único gráfico. Rastrea cómo subplot() combina los layouts de los gráficos y considera resuelto el problema cuando cada small multiple conserve la relación de aspecto fija sin requerir ejes compartidos.