Error bars in px.scatter should inherit color and opacity from markers by default

Error bars do correctly show with the same color (not opacity) as markers when using categorical data to set the color parameter:

import plotly.express as px
df = px.data.iris()
df["e_plus"] = df["sepal_width"]/100
df["e_minus"] = df["sepal_width"]/40
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species",
                 error_y="e_plus", error_y_minus="e_minus")

fig.show()

However, setting the opacity parameter only changes the opacity of the markers:

fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species",
                 error_y="e_plus", error_y_minus="e_minus", opacity=0.6)

fig.show()

And using numerical data to set the color parameter, the error bars will not have the same color as the markers, but instead renders in black:

fig = px.scatter(df, x="sepal_width", y="sepal_length", color="petal_width",
                 error_y="e_plus", error_y_minus="e_minus")

fig.show()

Fixing this would be super helpful, since the only current solution seems to be to manually add or update the trace for every single data point to set rgba-values for the error bars. My scatter plot had a few thousand data points, making that a very time consuming for-loop.

カテゴリカルおよび数値の色の値を使用し、opacity がある場合とない場合の、提供された px.scatter の再現例から始めます。生成されたエラーバーとマーカーの設定を調べ、それらの色と opacity がどこで異なるかを特定します。完了条件は、示されているすべてのケースで、エラーバーがデフォルトでマーカーの色と opacity を継承し、再現例に対するカバレッジがあることです。