plotly / plotly/plotly.py

Missing functionality in `px.timeline` against `create_gantt()` figure factory

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bug P3 regression
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描述

create_gantt() figure factory is deprecated in favor of px.timeline, but create_gantt() has the feature (argument) group_tasks that is not present with px.timeline.
An additional issue is that the group_task argument is not explained in the create_gantt() documentation check here.

For example, the code:

import plotly.express as px
import pandas as pd

df = pd.DataFrame([
    dict(Task="Job A", Start='2009-01-01', Finish='2009-02-28', Resource='Alex'),
    dict(Task="Job B", Start='2009-03-05', Finish='2009-04-15', Resource='Max'),
    dict(Task="Job C", Start='2009-02-20', Finish='2009-05-30', Resource='Max'),
    dict(Task="Job A", Start='2009-03-02', Finish='2009-05-30', Resource='Alex')
])

fig = px.timeline(df, x_start="Start", x_end="Finish", y="Task", color = "Resource")
fig.update_yaxes(autorange="reversed") # otherwise tasks are listed from the bottom up
fig.show()

Produces:
enter image description here

And I would like to have each tasks in the input data frame into its own line in the y-axis, even for repeating tasks:
enter image description here

We can obtain this using create_gantt() like:

from plotly.figure_factory import create_gantt

fig = create_gantt(df, index_col='Resource', 
                      showgrid_x=True, showgrid_y=True,
                      show_colorbar=True,
                      group_tasks=False
                      )
fig.update_yaxes(autorange="reversed")
fig.show()

Obtaining:
2022-04-11 19_51_14-127 0 0 1_1586

The order follows the order in the df which I found a correct behavior, but an extra input to define the order in create_gantt() would be useful.

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调研方向

从 px.timeline 入口开始,将其行为与 create_gantt() 图表工厂进行比较,尤其关注示例中展示的 group_tasks 参数。检查 create_gantt() API 文档,补充缺失的参数说明。当重复任务可以按照定义的顺序渲染在 y 轴的不同线上,并且相关行为已有文档说明时,即视为完成。

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技术栈
python
领域
data-visualization
Issue 类型
功能
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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
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