Template options are not respected even if no other settings are given

📊 Plotly Python
1

Hey, I am dabbling into creating custom themes for my plots. I want to change the default behavior for axis ticks but figures seem to ignore their given template.

import plotly.graph_objects as go
fig = go.Figure(layout_template="plotly+x")
fig.add_trace(go.Scatter(
            x=df['date'],
            y=df['coverage'],
            mode='lines+markers',
            name='cov',
            marker=dict(symbol='circle')
        ))
print(fig.layout.template.layout.xaxis)
>>> layout.XAxis({
    'automargin': True,
    'gridcolor': 'white',
    'linecolor': 'white',
    'minor': {'dtick': 86400000, 'ticks': 'outside'},
    'nticks': 7,
    'tickformatstops': [{'dtickrange': [None, 86400000], 'value': '\n%x %a'},
                        {'dtickrange': [86400000, None], 'value': '%x %A'}],
    'ticks': '',
    'title': {'standoff': 15},
    'zerolinecolor': 'white',
    'zerolinewidth': 2
})
print(fig.layout.xaxis)
>>> layout.XAxis()
fig.show()

The settings from my template are present in the figures layout.template, however this is not reflected in the shown plot. If I force the settings via fig.update_xaxes everything works as intended. Am I misunderstanding how templates are meant to work?

my template definition:

x = layout.Template(
    {
        "layout": {
            "xaxis": {
                'automargin': True,
                "minor": {"dtick": 86400000, "ticks": "outside"},
                "nticks": 7,
                "tickformatstops": [
                    {"dtickrange": [None, 86400000], "value": "\n%x %a"},
                    {"dtickrange": [86400000, None], "value": "%x %A"},
                ],
            },
            "yaxis": {
                "minor": {"dtick": 86400000, "ticks": "outside"},
                "nticks": 7,
                "tickformatstops": [
                    {"dtickrange": [None, 86400000], "value": "\n%x %a"},
                    {"dtickrange": [86400000, None], "value": "%x %A"},
                ],
            },
        },
    }
)

using plotly 6.0.0