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 can’t turn it around, as recommended elsewhere, with autorange=“reversed”. It works for the x axis, but not on the y axis… Why? Also if I put it directly in the dict at yaxis it doesn’t work… 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()