图：如何更改每个子图的背景色？

Question

我正在尝试创建不同的子图，并且我希望每个子图具有不同的背景色。我正在使用Plotly，这使事情变得有些困难。任何的想法？我认为matplot中的等效项是face_color或类似的东西。

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

fig.add_trace(
    go.Scatter(
        x=list(range(sample_points)),
        y=data_gx.iloc[scene],
        name='X-axis',
        line=dict(color='green', width=2)
    ),
    row=1, col=1
)

fig.add_trace(
    go.Scatter(
        x=list(range(sample_points)),
        y=data_ax.iloc[scene],
        name='X-axis',
        line=dict(color='green', width=2)
    ),
    row=1, col=2
)

Answer 1

您可以使用set_facecolor：

ax.set_facecolor('xkcd:salmon')

Answer 2

这将为所有子图设置背景色：

fig.update_layout(plot_bgcolor='steelblue')

图：

不幸的是，您似乎仍然无法为不同的子图设置different background colors：

背景颜色在图形的布局中设置：plot_bgcolor ='rgb（245,245,240）'。目前您无法更改特定子图的背景。

完整代码：

# imports
from plotly.subplots import make_subplots
import plotly.graph_objects as go
import pandas as pd
import numpy as np

# data
df = pd.DataFrame({'Index': {0: 1.0,
                              1: 2.0,
                              2: 3.0,
                              3: 4.0,
                              4: 5.0,
                              5: 6.0,
                              6: 7.0,
                              7: 8.0,
                              8: 9.0,
                              9: 10.0},
                             'A': {0: 15.0,
                              1: 6.0,
                              2: 5.0,
                              3: 4.0,
                              4: 3.0,
                              5: 2.0,
                              6: 1.0,
                              7: 0.5,
                              8: 0.3,
                              9: 0.1},
                             'B': {0: 1.0,
                              1: 4.0,
                              2: 2.0,
                              3: 5.0,
                              4: 4.0,
                              5: 6.0,
                              6: 7.0,
                              7: 2.0,
                              8: 8.0,
                              9: 1.0},
                             'C': {0: 12.0,
                              1: 6.0,
                              2: 5.0,
                              3: 4.0,
                              4: 3.0,
                              5: 2.0,
                              6: 1.0,
                              7: 0.5,
                              8: 0.2,
                              9: 0.1}})
# set up plotly figure
fig = make_subplots(1,2)

# add first bar trace at row = 1, col = 1
fig.add_trace(go.Bar(x=df['Index'], y=df['A'],
                     name='A',
                     marker_color = 'green',
                     opacity=0.4,
                     marker_line_color='rgb(8,48,107)',
                     marker_line_width=2),
              row = 1, col = 1)

# add first scatter trace at row = 1, col = 1
fig.add_trace(go.Scatter(x=df['Index'], y=df['B'], line=dict(color='red'), name='B'),
              row = 1, col = 1)

# add first bar trace at row = 1, col = 2
fig.add_trace(go.Bar(x=df['Index'], y=df['C'],
                     name='C',
                     marker_color = 'green',
                     opacity=0.4,
                     marker_line_color='rgb(8,48,107)',
                    marker_line_width=2),
              row = 1, col = 2)

fig.update_layout(plot_bgcolor='lightblue')
fig.show()