Plotly：如何为甘特图的 y 轴标签留出更多空间

Question

I am plotting a gantt chart but the Y labels (Task Labels) are not showing:

Below is an example of what am trying to do.

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)

It results in the following diagram:

How do make more space on the left side so I can see the whole label?

Answer 1

Short answer:

Option 1: Specify fig.update_yaxes(automargin=True)

or

Option 2: Adjust left margin l=200 in fig.update(margin=go.Layout(l=200))

---

The details:

Option 1:

This might be a version issue or only related to iplot . I'm using plotly.graph_objects , and in order to reproduce your issue I have to actively set automargin=False :

Plot 1.1: fig.update_yaxes(automargin=False)

Code 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()

At the time being (I'm on Plotly '4.2.0' ), setting automargin=True or not specifying it at all gives you this:

PLot 1.2: fig.update_yaxes(automargin=True)

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

Plot 2.1:

I've added border to the plot area and color to the bacground to illustrate what is being adjusted.

Plot 2:

Code 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()

Now you should be able to get what you want either way.