Python 在一个图形中绘制多个数据帧

我想使用python plotly在一个图形中绘制多个pandas数据帧的折线图（设置x轴：日班和y轴：PRO）

我尝试使用for循环，但未能生成预期的输出

import plotly.express as px
for frame in [df1, df2, df3, df4, df5]:
    fig = px.line(frame, x='Day-Shift', y='PRO',template="plotly_dark")


fig.show()

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另外，我想使用plotly将图例设置为df1到df5，您可以尝试以下操作：

import pandas as pd
import plotly.graph_objects as go
from plotly.offline import iplot

# dict for the dataframes and their names
dfs = {"df1" : df1, "df2": df2, "df3" : df3, "df4" : df4, "df5" : df5}

# plot the data
fig = go.Figure()

for i in dfs:
    fig = fig.add_trace(go.Scatter(x = dfs[i]["day-shift"],
                                   y = dfs[i]["PRO"], 
                                   name = i))
fig.show()