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Default bar width on date axes should be smarter #5294

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P3backlog featuresomething new
@logankopas

Description

This is likely a similar issue to plotly/plotly.js#6199

Plotly version: 6.2.0

Minimal Example
import plotly.graph_objects as go
import pandas as pd
import datetime
data = [
 {"date": datetime.date(2025,7,20), "net_sales": 23.34, "gross_sales": 32.98},
 {"date": datetime.date(2025,7,21), "net_sales": 45.21, "gross_sales": 68.12},
 {"date": datetime.date(2025,7,22), "net_sales": 12.98, "gross_sales": 34.54},
 {"date": datetime.date(2025,7,23), "net_sales": 41.32, "gross_sales": 45.32},
]
df = pd.DataFrame.from_records(data)
def make_figure(df, width=None):
 fig = go.Figure()
 fig.add_trace(go.Bar(
 x=df['date'],
 y=df['net_sales'],
 xperiod=24*60*60*1000,
 xperiod0=df['date'].min(),
 xperiodalignment="middle"
 ))
 fig.add_trace(go.Bar(
 x=df['date'],
 y=df['gross_sales'],
 xperiod=24*60*60*1000,
 xperiod0=df['date'].min(),
 xperiodalignment="middle"
 ))
 fig.update_layout(
 xaxis={
 'ticklabelmode': 'period',
 'tickmode': 'auto',
 'dtick': 24*60*60*1000,
 'range': (df['date'].min(), df['date'].max() + datetime.timedelta(days=1))
 })
 fig.show(renderer="browser")
make_figure(df)
make_figure(df[0:1])

When plotting a bar chart of aggregated timeseries data, strange behaviour happens when there's only 1 data point or group. When there are multiple bars each bar is displayed as one would expect (first screenshot below), but when there's only a single data point the bar is invisible, and specifically the bar width is set to 1ms or 0.5px (second screenshot).

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