Plotly：如何为每个不同的子图应用不同的标题？

Question

鉴于我有来自此链接的以下代码：

from plotly.subplots import make_subplots
import plotly.graph_objects as go

fig = make_subplots(rows=1, cols=2)

fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[4, 5, 6]),
    row=1, col=1
)

fig.add_trace(
    go.Scatter(x=[20, 30, 40], y=[50, 60, 70]),
    row=1, col=2
)

fig.update_layout(height=600, width=800, title_text="Subplots")
fig.show()

这段代码的问题是，

xaxis

和

yaxis

没有任何标签。除此之外，当前代码仅对所有图应用一个标题，但是我想对每个散点图应用不同的 titles。

我该怎么做？

Answer 1

这段代码的问题是，xaxis和yaxis没有任何标签。

您可以通过子集化图形结构来编辑任何轴：

fig['layout']['xaxis']['title']='Label x-axis 1'

除此之外，当前代码仅对所有绘图应用一个标题

根据用户 shaik moeed 提到的绘图版本，您可以在图形定义中包含

subplot_titles

：

fig = make_subplots(rows=1, cols=2, subplot_titles=('Subplot title1',  'Subplot title2'))

剧情：

代码：

from plotly.subplots import make_subplots
import plotly.graph_objects as go


# plotly fig setup
fig = make_subplots(rows=1,
                    cols=2,
                    subplot_titles=('Subplot title1',  'Subplot title2')) 

# traces
fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[4, 5, 6]),
    row=1, col=1
)

fig.add_trace(
    go.Scatter(x=[20, 30, 40], y=[50, 60, 70]),
    row=1, col=2
)

# edit axis labels
fig['layout']['xaxis']['title']='Label x-axis 1'
fig['layout']['xaxis2']['title']='Label x-axis 2'
fig['layout']['yaxis']['title']='Label y-axis 1'
fig['layout']['yaxis2']['title']='Label y-axis 2'

# plot it
fig.show()

Answer 2

从 Plotly 4.0.0 开始，您可以将主轴标题分别添加为 x_title 和 y_title：

from plotly.subplots import make_subplots
fig = make_subplots(rows=2,
                    cols=2,
                    x_title='Your master x-title',
                    y_title='Your master y-title',
                    subplot_titles=('Subplot title1',  'Subplot title2', 
                                    'Subplot title3', 'Subplot title4'))

示例代码：

from plotly.subplots import make_subplots
import plotly.graph_objects as go

fig = make_subplots(rows=1,
                    cols=2,
                    x_title='Your master x-title',
                    y_title='Your master y-title',
                    subplot_titles=('Subplot title1',  'Subplot title2'))

fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[4, 5, 6]),
    row=1, col=1
)

fig.add_trace(
    go.Scatter(x=[20, 30, 40], y=[50, 60, 70]),
    row=1, col=2
)

fig.update_layout(title_text="Side By Side Subplots with diffrent sub titles")
fig.show()

---

输出：

Answer 3

from plotly.subplots import make_subplots
import plotly.graph_objects as go


# plotly fig setup
fig = make_subplots(rows=1,
                    cols=2,vertical_spacing=0.09,
                    subplot_titles=('Subplot title1',  'Subplot title2')) 

# traces
fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[4, 5, 6]),
    row=1, col=1
)

fig.add_trace(
    go.Scatter(x=[20, 30, 40], y=[50, 60, 70]),
    row=1, col=2
)

#fig.add_trace(go.Scatter(x=time_list, y=C_hl0),
      #        row=1, col=1)

fig.update_layout(height=1600, width=1000,
                  title_text="Whatever you want")
for i in range(1,5): 
    fig['layout']['xaxis{}'.format(i)]['title']='Label X axis 1'
    fig['layout']['yaxis{}'.format(i)]['title']='Label X axis 2'

fig.show()

#If you want to save your plot into your local directory

import plotly.io as pio
pio.kaleido.scope.default_format = "png"
fig.write_image(r"C:\fig1.png")

Answer 4

当前的最佳实践是在

subplot_titles

中使用参数

make_subplots

并使用

fig.update_xaxes

和

fig.update_yaxes

设置轴标签，如下面从 plotly 文档复制的示例所示。

from plotly.subplots import make_subplots
import plotly.graph_objects as go

# Initialize figure with subplots
fig = make_subplots(
    rows=2, cols=2, subplot_titles=("Plot 1", "Plot 2", "Plot 3", "Plot 4")
)

# Add traces
fig.add_trace(go.Scatter(x=[1, 2, 3], y=[4, 5, 6]), row=1, col=1)
fig.add_trace(go.Scatter(x=[20, 30, 40], y=[50, 60, 70]), row=1, col=2)
fig.add_trace(go.Scatter(x=[300, 400, 500], y=[600, 700, 800]), row=2, col=1)
fig.add_trace(go.Scatter(x=[4000, 5000, 6000], y=[7000, 8000, 9000]), row=2, col=2)

# Update xaxis properties
fig.update_xaxes(title_text="xaxis 1 title", row=1, col=1)
fig.update_xaxes(title_text="xaxis 2 title", range=[10, 50], row=1, col=2)
fig.update_xaxes(title_text="xaxis 3 title", showgrid=False, row=2, col=1)
fig.update_xaxes(title_text="xaxis 4 title", type="log", row=2, col=2)

# Update yaxis properties
fig.update_yaxes(title_text="yaxis 1 title", row=1, col=1)
fig.update_yaxes(title_text="yaxis 2 title", range=[40, 80], row=1, col=2)
fig.update_yaxes(title_text="yaxis 3 title", showgrid=False, row=2, col=1)
fig.update_yaxes(title_text="yaxis 4 title", row=2, col=2)

# Update title and height
fig.update_layout(title_text="Customizing Subplot Axes", height=700)

fig.show()