Plotly：如何更改沿 x 轴的时间分辨率？

Question

我想绘制一些时间序列数据，其中数据的历史部分具有每日分辨率，而当天的数据具有分钟分辨率。有没有办法以某种方式“拆分”x 轴，以便历史数据只显示日期，而当前数据也显示时间？

目前看起来像这样，不太可读

Answer 1

我认为唯一可行的方法是将两个子图放在一起。但是使用正确的设置应该使子图达到您所描述的几乎 100%。您只需要调整一些细节，例如：

fig = make_subplots(rows=1, cols=2,
                    horizontal_spacing = 0,
                    shared_yaxes=True,
                    shared_xaxes=True)

完整代码：

# import pandas as pd
import pandas as pd
import numpy as np
from datetime import datetime, timedelta
from plotly.subplots import make_subplots
import plotly.graph_objects as go

# custom function to set the first
# minute dataset to contiunue from
# the last day in the day dataset
def next_day(date):
    s = date
    date = datetime.strptime(s, "%Y-%m-%d")
    next_date = date + timedelta(days=1)
    return(datetime.strftime(next_date, "%Y-%m-%d"))

# data
np.random.seed(10)
n_days = 5
n_minutes = (2*24)
dfd = pd.DataFrame({'time':[t for t in pd.date_range('2020', freq='D', periods=n_days).format()],
                      'y':np.random.uniform(low=-1, high=1, size=n_days).tolist()})

dfm = pd.DataFrame({'time':[t for t in pd.date_range(next_day(dfd['time'].iloc[-1]), freq='min', periods=n_minutes).format()],
                      'y':np.random.uniform(low=-1, high=1, size=n_minutes).tolist()})
dfm['y'] = dfm['y'].cumsum()

# subplot setup
fig = make_subplots(rows=1, cols=2,
                    horizontal_spacing = 0,
                    shared_yaxes=True,
                    shared_xaxes=True)

# trace for days
fig.add_trace(
    go.Scatter(x=dfd['time'], y=dfd['y'], name = 'days'),
    row=1, col=1
)

# trace for minutes
fig.add_trace(
    go.Scatter(x=dfm['time'], y=dfm['y'], name = 'minutes'),
    row=1, col=2
)

# some x-axis aesthetics
fig.update_layout(xaxis1 = dict(tickangle=0))
fig.update_layout(xaxis2 = dict(tickangle=90))
fig.add_shape( dict(type="line",
                    x0=dfd['time'].iloc[-1],
                    y0=dfd['y'].iloc[-1],
                    x1=dfm['time'].iloc[0],
                    y1=dfm['y'].iloc[0],
                    xanchor = 'middle',
                    xref = 'x1',
                    yref = 'y1',
                    line=dict(dash = 'dash',
                              color="rgba(0,0,255,0.9)",
                              width=1
            )))

fig.update_xaxes(showgrid=False)
fig.update_layout(template = 'plotly_dark')

fig.show()