如何利用从polar上获得的睡眠和运动信息使用plotly画图展示？

import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
sleep_df = pd.read_csv("2020年睡眠数据.csv")
sleep_df['sleep_quality'] = run_df['sleepQuality']
sleep_df['date'] = pd.to_datetime(sleep_df['date'])
sleep_df['start_time']=[i.split("+")[0].split("T")[1] for i in sleep_df['sleep_start_time']]
sleep_df['end_time']=[i.split("+")[0].split("T")[1] for i in sleep_df['sleep_end_time']]
sleep_df['sleep_time'] = [float(i)/3600 for i in sleep_df['sleep_time']]
sleep_df = sleep_df[sleep_df['sleep_quality']!=0]
fig = make_subplots(
    rows=4, cols=1)
fig.add_trace(
    go.Scatter(x=sleep_df['date'],y=sleep_df['sleep_time'],name='2020年每天睡眠时间'),
    row=1, col=1
)
fig.add_trace(
    go.Scatter(x=sleep_df['date'],y=sleep_df['efficiencyPercent'],name='2020年每天睡眠有效百分比'),
    row=2, col=1)
fig.add_trace(
    go.Scatter(x=sleep_df['date'],y=sleep_df['continuityIndex'],name='2020年每天睡眠的连续指数'),
    row=3, col=1
)
fig.add_trace(
    go.Scatter(x=sleep_df['date'],y=sleep_df["sleep_quality"],name='2020年每天睡眠的质量'),
    row=4, col=1
)
fig.show()

import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
run_df = pd.read_csv("2020年运动数据.csv")
run_df['date']=pd.to_datetime([i.split("T")[0] for i in run_df['datetime']])
run_df['activeTime'] =[float(i)/3600000 for i in run_df['activeTime']]
fig = make_subplots(
    rows=5, cols=1)
fig.add_trace(
    go.Scatter(x=run_df['date'],y=run_df['goalPercent'],name='2020年每天运动目标实现百分比'),
    row=1, col=1
)
fig.add_trace(
    go.Scatter(x=run_df['date'],y=run_df['calories'],name='2020年每天运动消耗的卡路里'),
    row=2, col=1)
fig.add_trace(
    go.Scatter(x=run_df['date'],y=run_df['stepCount'],name='2020年每天走的步数'),
    row=3, col=1
)
fig.add_trace(
    go.Scatter(x=run_df['date'],y=run_df["distanceFromSteps"],name='2020年每天走的距离'),
    row=4, col=1
)
fig.add_trace(
    go.Scatter(x=run_df['date'],y=run_df["activeTime"],name='2020年每天活动状态的时间'),
    row=5, col=1
)
fig.show()