Hi, I am trying to do the following:

I have some vectors, i want to display the pairwise cosine distance between them in a heatmap, but not twice, so above the diagonal, it should be empty.

Problem: when I use plotly.graph_objects -> go.Figure like in the commented line, it works as expected, but I am not able to set range_color, but i need this feature, because in another plot the range is much lower, but I want the plots to be comparable directly, so I need to fix the range.

So if I then use plotly.express to plot my heatmap, unfortunately, the y-axis is upside down

and i canât turn it around, as recommended elsewhere, with autorange=âreversedâ. It works for the x axis, but not on the y axisâŚ Why? Also if I put it directly in the dict at yaxis it doesnât workâŚ but for xaxis it does.

```
cosine_distances = []
for i, outer_template_vector in enumerate(utah):
temp_cosine_distances = []
temp_cosine_distances[0:i] = i*[None]
for inner_ind in range(i, len(utah)):
temp_cosine_distances.append(cosine(outer_template_vector, utah[inner_ind]))
cosine_distances.append(temp_cosine_distances)
fig = px.imshow(cosine_distances, range_color=[0,0.6])
#fig = go.Figure(data=go.Heatmap(z=cosine_distances))
fig.update_layout(
yaxis = dict(
tickmode = 'linear',
tick0 = 0,
dtick = 1
),
xaxis = dict(
tickmode = 'linear',
tick0 = 0,
dtick = 1
), height = 700, width = 700
)
fig.update_yaxes(autorange="reversed")
fig.show()
```