# Adding figures created in a loop to one main fig
**URL:** https://community.plotly.com/t/adding-figures-created-in-a-loop-to-one-main-fig/75786
**Category:** 📊 Plotly Python
**Created:** [June 2, 2023, 10:35am UTC](https://community.plotly.com/t/adding-figures-created-in-a-loop-to-one-main-fig/75786 "2023-06-02T10:35:02Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@marvy](https://community.plotly.com/u/marvy)
#### Post date: [June 2, 2023, 10:35am UTC](https://community.plotly.com/t/adding-figures-created-in-a-loop-to-one-main-fig/75786/1 "2023-06-02T10:35:02Z")
Starting from the code below, how can I create a mainfig that contains exact copies of the figures created in the loop?
```auto
import sys
import datetime as dt
import numpy as np
import pandas as pd
import arcelormittal as am
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
from datetime import datetime
#create df
data = {'datum': [datetime(2023, 1, 1), datetime(2023, 1, 2), datetime(2023, 1, 3),
datetime(2023, 1, 4), datetime(2023, 1, 5), datetime(2023, 1, 6),
datetime(2023, 1, 7), datetime(2023, 1, 8), datetime(2023, 1, 9),
datetime(2023, 1, 10)],
'A': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
'B': [11, 12, 20, 24, 15, 12, 17, 18, 19, 20],
'C': [21, 22, 40, 24, 25, 26, 20, 28, 29, 30],
'D': [31, 32, 33, 34, 35, 36, 37, 38, 39, 40]}
df = pd.DataFrame(data)
# create plots
my_list=[['A', 'B'], ['C', 'D']]
mainfig = make_subplots(rows=2,cols=1)
for item in my_list:
fig = px.line(df,x='datum', y=item)
fig.show()
```
---
### Author:  [@AIMPED](https://community.plotly.com/u/AIMPED)
#### Post date: [June 2, 2023, 12:22pm UTC](https://community.plotly.com/t/adding-figures-created-in-a-loop-to-one-main-fig/75786/2 "2023-06-02T12:22:15Z")
Hi @marvy
`px.line()` creates a Figure object. You will need to extract the traces (data) of this object. Since your y- argument is a list of length =2, you will have two traces.
Once you extracted the traces, you can add them to the `mainfig` to the corresponding row . Explicitly:
```python
for idx, item in enumerate(my_list, start=1):
fig = px.line(df,x='datum', y=item)
extracted_traces = fig.data
mainfig.add_traces(extracted_traces, cols=1, rows=idx)
mainfig.show()
```
I would `plotly.graph_objects` in first place instead of using `plotly.epress` however.