混合图组合 Plotly 表达 scatter 和 go.Table

Question

我想生成一个 2col、1 行的子图：

• row1,col1: px.scatterplot
• row1,col2: go.Table

它应该看起来像这样：

我无法将这些数字放在一起，这是到目前为止的代码，它生成表格，注释掉的是 px.scatter ：

import plotly.express as px
df = px.data.iris()

fig = make_subplots(
    rows=1, cols=2,
    shared_xaxes=False,
    vertical_spacing=0.03,
    specs=[[{"type": "scatter"}, {"type": "table"}]]
)


#HERE IS THE PX.SCATTER PLOT (commented out since i cannot add it) 
# fig1 = px.scatter(df, x="sepal_width", y="sepal_length", color="species")

fig.add_trace(
    go.Table(
        header=dict(
            values=list(df.columns),
            font=dict(size=10),
            align="left"
        ),
        cells=dict(values=[df.sepal_length, df.sepal_width, df.petal_length, df.petal_width, df.species, df.species_id],
               fill_color='lavender',
               align='left')
    ),
    row=1, col=2
)
fig.show()

Answer 1

你已经完成了所有的辛苦工作！这只是迭代轨迹并添加到子图的情况。

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

df = px.data.iris()

fig = make_subplots(
    rows=1,
    cols=2,
    shared_xaxes=False,
    vertical_spacing=0.03,
    specs=[[{"type": "scatter"}, {"type": "table"}]],
)

# HERE IS THE PX.SCATTER PLOT (commented out since i cannot add it)
for t in px.scatter(df, x="sepal_width", y="sepal_length", color="species").data:
    fig.add_trace(t, row=1, col=1)

fig.add_trace(
    go.Table(
        header=dict(values=list(df.columns), font=dict(size=10), align="left"),
        cells=dict(
            values=[
                df.sepal_length,
                df.sepal_width,
                df.petal_length,
                df.petal_width,
                df.species,
                df.species_id,
            ],
            fill_color="lavender",
            align="left",
        ),
    ),
    row=1,
    col=2,
)
fig.show()

Answer 2

我无法在子图中使用plotly.express，因此我对两者都使用了图形对象。为什么要使用plotly,express？

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

df = px.data.iris()

fig = make_subplots(
    rows=1, cols=2,
    shared_yaxes=False,
    horizontal_spacing=0.03,
    specs=[[{"type": "scatter"},{"type": "table"}]]
)

fig.add_trace(
    go.Scatter(x=df["sepal_width"], y=df["sepal_length"], mode='markers',marker=dict(color=df['species_id'])),
              row=1,col=1)

fig.add_trace(
    go.Table(
        header=dict(
            values=list(df.columns),
            font=dict(size=10),
            align="left"
        ),
        cells=dict(values=[df.sepal_length, df.sepal_width, df.petal_length, df.petal_width, df.species, df.species_id],
               fill_color='lavender',
               align='left')
    ),
    row=1, col=2
)

fig.show()