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.

从提供的 px.scatter 复现开始，使用分类和数值颜色值，分别测试有透明度和无透明度的情况。检查生成的误差条和标记设置，以确定它们的颜色和透明度在哪些地方存在差异。完成标准是：在所有展示的情况下，误差条默认继承标记的颜色和透明度，并为这些复现提供覆盖测试。