Python Plotly adding px objects to a subplot object-CodePudding

So I'm trying to combine two plots into one. I've made these plots with the plotly.express library rather than the plotly.graphs_objs. Now, plotly suggests using: fig = make_subplots(rows=3, cols=1) and then append_trace or add_trace However, this doesn't work for express objects since the append trace expects a single. trace. How can I add a express figure to a subplot? Or is this simply not possible. One option I've tried was fig.data[0] but this will only add the first line/data entry. Rn my code looks like:

double_plot = make_subplots(rows=2, cols=1, shared_xaxes=True)
    histo_phases = phases_distribution(match_file_, range)
    fig = px.line(match_file,
                  x="Minutes", y=["Communicatie", 'Gemiddelde'], color='OPPONENT')
    fig.update_layout(
        xaxis_title="Minuten",
        yaxis_title="Communicatie per "   str(range)   "minuten",
        legend_title='Tegenstander',
    )
    
    double_plot.append_trace(fig.data, row=1, col=1)
    double_plot.append_trace(histo_phases.data, row=2, col=1)

Thanks in advance.

CodePudding user response：

your code sample does not include creation of data frames and figures. Have simulated
it is as simple as adding each traces from figures created with plotly express to figure created with make_subplots()

for t in fig.data:
    double_plot.append_trace(t, row=1, col=1)
for t in histo_phases.data:
    double_plot.append_trace(t, row=2, col=1)

full code

from plotly.subplots import make_subplots
import plotly.express as px
import pandas as pd
import numpy as np

df = px.data.tips()

double_plot = make_subplots(rows=2, cols=1, shared_xaxes=True)
# histo_phases = phases_distribution(match_file_, range)
histo_phases = px.histogram(df, x="total_bill")
match_file = pd.DataFrame(
    {
        "Minutes": np.repeat(range(60), 10),
        "Communicatie": np.random.uniform(1, 3, 600),
        "Gemiddelde": np.random.uniform(3, 5, 600),
        "OPPONENT": np.tile(list("ABCDEF"), 100),
    }
)
fig = px.line(match_file, x="Minutes", y=["Communicatie", "Gemiddelde"], color="OPPONENT")
fig.update_layout(
    xaxis_title="Minuten",
    yaxis_title="Communicatie per "   str(range)   "minuten",
    legend_title="Tegenstander",
)

for t in fig.data:
    double_plot.append_trace(t, row=1, col=1)
for t in histo_phases.data:
    double_plot.append_trace(t, row=2, col=1)

double_plot