Allow ticktext for minor ticks
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描述
Here is the baseline plot :
import plotly.express as px
import pandas as pd
from datetime import timedelta
# Example data
df = pd.DataFrame({
"Task": ["Task A", "Task B", "Task C"],
"Start": ["2023-01-01 08:00:00", "2023-01-02 09:30:00", "2023-01-04 11:00:00"],
"Finish": ["2023-01-01 15:00:00", "2023-01-02 20:00:00", "2023-01-04 19:00:00"],
})
# Create the timeline figure
fig = px.timeline(
df,
x_start="Start",
x_end="Finish",
y="Task",
title="Timeline with major and minor ticks on x axis",
)
df['Start'] = pd.to_datetime(df['Start'])
df['Finish'] = pd.to_datetime(df['Finish'])
# Define tick positions and labels
horizon_start = df['Start'].min().replace(hour=0, minute=0)
horizon_end = df['Finish'].max().replace(hour=0, minute=0) + timedelta(days=1)
minor_ticks = pd.date_range(horizon_start, horizon_end, freq="6h")
fig.update_xaxes(
showgrid=True,
gridcolor="lightgray",
gridwidth=2,
dtick="D1",
tickformat="%e %b",
tickangle=-45,
minor={
"ticklen": 3,
"tickcolor": "lightgray",
"tickmode": "array",
"showgrid": True,
"gridwidth": 0.5,
"tickvals": minor_ticks,
},
)
# Show the figure
fig.show()
I would like to have the possibility of displaying ticktext for minor ticks + ticktextcolor + ticktextfontsize, with something like :
minor_text = [t.strftime('%Hh').lstrip('0') if t.hour != 0 else "0h" for t in minor_ticks]
fig.update_xaxes(
(...)
minor={
"ticklen": 3,
"tickcolor": "lightgray",
"tickmode": "array",
"showgrid": True,
"gridwidth": 0.5,
"tickvals": minor_ticks,
"ticktext": minor_text,
"ticktextcolor": 'lightgray',
"ticktextfontsize": 5,
},
)
Ideally, for the ticks that are both in major and minor ticks, only the major tick text would be displayed.
贡献指南
从这里开始
- 先读完整个 Issue,再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库,在一个分支上完成修改。
- 提交 Pull Request,并在描述里引用这个 Issue 编号。
调研方向
从 fig.update_xaxes 入口和 issue 中所示的次要坐标轴配置开始。跟踪次要刻度属性如何表示并通过 Python graph-object API 传递。完成标准是次要刻度接受 ticktext、ticktextcolor 和 ticktextfontsize,并且当位置重叠时,主要刻度标签具有优先级。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- python
- 领域
- data-visualization
- Issue 类型
- 功能
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 45/100