Setting boundaries for datetime x axis on Plotly (Python)

Question

I have to plot some chronologically-ordered values (one value per month, in my case) on a Plotly (Python) graph. Also, I have to add a "end of period label" (i.e. a marker with text indicating the last value of the series) that has to be positioned at 'middle right'.

A working example would be something like this:

import pandas as pd
import numpy as np
import plotly.graph_objects as go

date_range = pd.to_datetime(pd.date_range(start='1/1/2013', end='9/1/2022', freq='M').tolist()).date
values = np.random.randint(100, size=len(date_range)).tolist()
fig = go.Figure(
)

fig.add_trace(go.Scatter(
    showlegend=False,
    x=date_range,
    y=values,
    mode='lines',
    line=dict(
        width=2,
        color="red",
        )
    )
)

fig.add_trace(go.Scatter(
    showlegend=False,
    x=[date_range[-1]],
    y=[values[-1]],
    text=[values[-1]],
    textposition='middle right',
    texttemplate="%{text:.3f}",
    mode='markers+text',
    line=dict(
        width=2,
        color="red",
        )
    )
)

fig.update_layout(
    xaxis=dict(
        tickformat="%m\n<b>%Y", dtick="M3",
        )
)

which produces the following plot:

I am facing the following problem: the end of period label "extends" beyond the last value of the date range and makes the x axis go into the green area, which are all undesired months (for example, those that extend beyond the last value of the date range and into 2023).

I tried several things to "erase" or delete that undesired part of the x axis, but nothing worked properly: either the end of period label was cut in half or the whole x axis disappeared.

Thank you in advance for any help or suggestion.

Answer 1

• as per @r0beginners comments
• given text is outside graph area use an annotation for the text
• make marker scatter just mode=markers
• explicitly state xaxis range range=date_range[[0,-1]]

import pandas as pd
import numpy as np
import plotly.graph_objects as go

date_range = pd.to_datetime(
    pd.date_range(start="1/1/2013", end="9/1/2022", freq="M").tolist()
).date
values = np.random.randint(100, size=len(date_range)).tolist()
fig = go.Figure()

fig.add_trace(
    go.Scatter(
        showlegend=False,
        x=date_range,
        y=values,
        mode="lines",
        line=dict(
            width=2,
            color="red",
        ),
    )
)


fig.add_trace(go.Scatter(
    showlegend=False,
    x=[date_range[-1]],
    y=[values[-1]],
    mode='markers',
    marker_size=15
    )
)

fig.add_annotation(
    x = date_range[-1],
    y = values[-1],
    text = values[-1],
    xshift=10,
    yshift=0,
    showarrow=False
)


fig.update_layout(
    xaxis=dict(
        tickformat="%m\n<b>%Y",
        dtick="M3",
        range=date_range[[0,-1]]
    )
)