【问题标题】:Plotly: How to make more space for y axis labels for gantt chartPlotly:如何为甘特图的 y 轴标签腾出更多空间
【发布时间】:2018-12-06 14:02:06
【问题描述】:

我正在绘制甘特图,但 Y 标签(任务标签)未显示:

下面是我尝试做的一个例子。

data = [
    dict(Task='Morning Sleep', Start='2016-01-01', Finish='2016-01-01 6:00:00', Resource='Sleep'),
    dict(Task='Breakfast', Start='2016-01-01 7:00:00', Finish='2016-01-01 7:30:00', Resource='Food'),
    dict(Task='Work', Start='2016-01-01 9:00:00', Finish='2016-01-01 11:25:00', Resource='Brain'),
    dict(Task='Break', Start='2016-01-01 11:30:00', Finish='2016-01-01 12:00:00', Resource='Rest'),
    dict(Task='Lunch', Start='2016-01-01 12:00:00', Finish='2016-01-01 13:00:00', Resource='Food'),
    dict(Task='Work', Start='2016-01-01 13:00:00', Finish='2016-01-01 17:00:00', Resource='Brain'),
    dict(Task='Exercise', Start='2016-01-01 17:30:00', Finish='2016-01-01 18:30:00', Resource='Cardio'), 
    dict(Task='Post Workout Rest', Start='2016-01-01 18:30:00', Finish='2016-01-01 19:00:00', Resource='Rest'),
    dict(Task='Dinner', Start='2016-01-01 19:00:00', Finish='2016-01-01 20:00:00', Resource='Food'),
    dict(Task='Evening Sleep', Start='2016-01-01 21:00:00', Finish='2016-01-01 23:59:00', Resource='Sleep')
]

df = pd.DataFrame(data)

colors = dict(Cardio = 'rgb(46, 137, 205)',
              Food = 'rgb(114, 44, 121)',
              Sleep = 'rgb(198, 47, 105)',
              Brain = 'rgb(58, 149, 136)',
              Rest = 'rgb(107, 127, 135)')

fig = ff.create_gantt(df, colors=colors, index_col='Resource', title='Daily Schedule',
                      show_colorbar=True, bar_width=0.8, showgrid_x=True, showgrid_y=True)
py.iplot(fig, filename='gantt-hours-minutes', world_readable=True)

结果如下图:

如何在左侧留出更多空间以便我可以看到整个标签?

【问题讨论】:

  • 我的建议对你有什么效果?

标签: python pandas plotly


【解决方案1】:

简答:

选项1:指定fig.update_yaxes(automargin=True)

选项 2:fig.update(margin=go.Layout(l=200)) 中调整左边距l=200


详情:

选项 1:

这可能是版本问题或仅与iplot 有关。我正在使用plotly.graph_objects,为了重现您的问题,我必须主动设置automargin=False

情节 1.1: fig.update_yaxes(automargin=False)

代码 1:

import plotly.graph_objects as go
import plotly.io as pio
import plotly.figure_factory as ff
import plotly.graph_objects as go
import numpy as np
import pandas as pd

pio.renderers.default = 'jupyterlab'
#pio.renderers.default = 'browser'


data = [
    dict(Task='Morning Sleep', Start='2016-01-01', Finish='2016-01-01 6:00:00', Resource='Sleep'),
    dict(Task='Breakfast', Start='2016-01-01 7:00:00', Finish='2016-01-01 7:30:00', Resource='Food'),
    dict(Task='Work', Start='2016-01-01 9:00:00', Finish='2016-01-01 11:25:00', Resource='Brain'),
    dict(Task='Break', Start='2016-01-01 11:30:00', Finish='2016-01-01 12:00:00', Resource='Rest'),
    dict(Task='Lunch', Start='2016-01-01 12:00:00', Finish='2016-01-01 13:00:00', Resource='Food'),
    dict(Task='Work', Start='2016-01-01 13:00:00', Finish='2016-01-01 17:00:00', Resource='Brain'),
    dict(Task='Exercise', Start='2016-01-01 17:30:00', Finish='2016-01-01 18:30:00', Resource='Cardio'), 
    dict(Task='Post Workout Rest', Start='2016-01-01 18:30:00', Finish='2016-01-01 19:00:00', Resource='Rest'),
    dict(Task='Dinner', Start='2016-01-01 19:00:00', Finish='2016-01-01 20:00:00', Resource='Food'),
    dict(Task='Evening Sleep', Start='2016-01-01 21:00:00', Finish='2016-01-01 23:59:00', Resource='Sleep')
]

df = pd.DataFrame(data)

colors = dict(Cardio = 'rgb(46, 137, 205)',
              Food = 'rgb(114, 44, 121)',
              Sleep = 'rgb(198, 47, 105)',
              Brain = 'rgb(58, 149, 136)',
              Rest = 'rgb(107, 127, 135)')



fig = ff.create_gantt(df, colors=colors, index_col='Resource', title='Daily Schedule',
                      show_colorbar=True, bar_width=0.8, showgrid_x=True, showgrid_y=True)

fig.update_yaxes(automargin=False)

fig.show()

目前(我在 Plotly '4.2.0'),设置 automargin=True 或根本不指定它会给你这个:

PLot 1.2: fig.update_yaxes(automargin=True)

选项 2: fig.update(margin=go.Layout(l=200))

情节 2.1:

我为绘图区域添加了边框,并为免费添加了颜色以说明正在调整的内容。

情节2:

代码 2:

import plotly.graph_objects as go
import plotly.io as pio
import plotly.figure_factory as ff
import plotly.graph_objects as go
import numpy as np
import pandas as pd

pio.renderers.default = 'jupyterlab'
#pio.renderers.default = 'browser'


data = [
    dict(Task='Morning Sleep', Start='2016-01-01', Finish='2016-01-01 6:00:00', Resource='Sleep'),
    dict(Task='Breakfast', Start='2016-01-01 7:00:00', Finish='2016-01-01 7:30:00', Resource='Food'),
    dict(Task='Work', Start='2016-01-01 9:00:00', Finish='2016-01-01 11:25:00', Resource='Brain'),
    dict(Task='Break', Start='2016-01-01 11:30:00', Finish='2016-01-01 12:00:00', Resource='Rest'),
    dict(Task='Lunch', Start='2016-01-01 12:00:00', Finish='2016-01-01 13:00:00', Resource='Food'),
    dict(Task='Work', Start='2016-01-01 13:00:00', Finish='2016-01-01 17:00:00', Resource='Brain'),
    dict(Task='Exercise', Start='2016-01-01 17:30:00', Finish='2016-01-01 18:30:00', Resource='Cardio'), 
    dict(Task='Post Workout Rest', Start='2016-01-01 18:30:00', Finish='2016-01-01 19:00:00', Resource='Rest'),
    dict(Task='Dinner', Start='2016-01-01 19:00:00', Finish='2016-01-01 20:00:00', Resource='Food'),
    dict(Task='Evening Sleep', Start='2016-01-01 21:00:00', Finish='2016-01-01 23:59:00', Resource='Sleep')
]

df = pd.DataFrame(data)

colors = dict(Cardio = 'rgb(46, 137, 205)',
              Food = 'rgb(114, 44, 121)',
              Sleep = 'rgb(198, 47, 105)',
              Brain = 'rgb(58, 149, 136)',
              Rest = 'rgb(107, 127, 135)')



fig = ff.create_gantt(df, colors=colors, index_col='Resource', title='Daily Schedule',
                      show_colorbar=True, bar_width=0.8, showgrid_x=True, showgrid_y=True)

# add borders
fig.update_xaxes(showline=True, linewidth=1, linecolor='black', mirror=True)
fig.update_yaxes(showline=True, linewidth=1, linecolor='black', mirror=True)

fig.update_yaxes(automargin=False)

fig.update_layout(
    autosize=False,
    width=500,
    height=500,
    margin=go.layout.Margin(
        l=150,
        r=5,
        b=100,
        t=100,
        pad=4
    ),
    paper_bgcolor="LightSteelBlue",
)

fig.show()

现在你应该能够得到你想要的任何一种方式。

【讨论】:

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