y-axis values are displayed in ascending order in scatter plots, version 6.0.1

[sstripps1]

I am creating a scatter plot in plotly==6.0.1 using the following code and underlying data:

# Code for "Daily Views" trace
fig = go.Figure()
# Create a Plotly figure
fig.add_scatter(
    x=daily_views["viewed_date"],
    y=daily_views["view_count"],
    mode="lines+markers",
    name="Daily Views",
)

   viewed_date  view_count  cumulative_views
0   2025-02-20           2                 2
1   2025-02-21          14                16
2   2025-02-24           2                18
3   2025-02-25           2                20
4   2025-02-26           3                23
5   2025-02-27           6                29
6   2025-02-28           2                31
7   2025-03-04           1                32
8   2025-03-05           5                37
9   2025-03-06           7                44
10  2025-03-07           1                45
11  2025-03-10           1                46
12  2025-03-12           6                52
13  2025-03-13           2                54
14  2025-03-17           1                55

But the resulting figure displays the y-axis values in ascending order:

The same result is seen on 6.0.0. Downgrading to 5.24.1 fixes the issue:

[sstripps1]

Full pip freeze:

amqp==5.3.1
anyio==4.8.0
appnope==0.1.4
asttokens==3.0.0
async-property==0.2.2
async-timeout==5.0.1
backoff==2.2.1
billiard==4.2.1
blinker==1.9.0
cachelib==0.9.0
celery==5.4.0
certifi==2025.1.31
cffi==1.17.1
charset-normalizer==3.4.1
click==8.1.8
click-didyoumean==0.3.1
click-plugins==1.1.1
click-repl==0.3.0
comm==0.2.2
cryptography==44.0.2
dash==2.18.0
dash-bootstrap-components==1.7.1
dash-core-components==2.0.0
dash-enterprise-auth==0.1.1
dash-html-components==2.0.0
dash-iconify==0.1.2
dash-table==5.0.0
dash_ag_grid==31.2.0
dash_design_kit==1.12.0
dash_mantine_components==0.14.4
debugpy==1.8.13
decorator==5.2.1
deprecation==2.1.0
dill==0.3.9
diskcache==5.6.3
exceptiongroup==1.2.2
executing==2.2.0
Flask==3.0.3
Flask-Caching==2.3.0
gql==3.5.0
graphql-core==3.2.6
gunicorn==22.0.0
h11==0.14.0
httpcore==1.0.7
httpx==0.28.1
idna==3.10
importlib_metadata==8.6.1
ipykernel==6.29.5
ipython==8.33.0
itsdangerous==2.2.0
jedi==0.19.2
Jinja2==3.1.6
jupyter_client==8.6.3
jupyter_core==5.7.2
jwcrypto==1.5.6
kombu==5.4.2
MarkupSafe==3.0.2
matplotlib-inline==0.1.7
multidict==6.1.0
multiprocess==0.70.17
narwhals==1.29.1
nest-asyncio==1.6.0
numpy==2.2.3
packaging==24.2
pandas==2.2.2
parso==0.8.4
pexpect==4.9.0
platformdirs==4.3.6
plotly==6.0.1
prompt_toolkit==3.0.50
propcache==0.3.0
psutil==7.0.0
ptyprocess==0.7.0
pure_eval==0.2.3
pycparser==2.22
Pygments==2.19.1
PyJWT==2.10.1
python-dateutil==2.9.0.post0
python-dotenv==1.0.1
python-keycloak==4.7.3
pytz==2025.1
pyzmq==26.2.1
redis==5.2.1
requests==2.32.3
requests-toolbelt==1.0.0
retrying==1.3.4
six==1.17.0
sniffio==1.3.1
stack-data==0.6.3
tenacity==9.0.0
tornado==6.4.2
traitlets==5.14.3
typing_extensions==4.12.2
tzdata==2025.1
urllib3==2.3.0
vine==5.1.0
wcwidth==0.2.13
Werkzeug==3.0.6
yarl==1.18.3
zipp==3.21.0

[sstripps1]

And python version 3.10.0

[emilykl]

@sstripps1 I haven't been able to reproduce the issue so far with Plotly 6.0.1 and the code snippet below. I'd like to get to the bottom of this though -- can you share a self-contained code example, or code + CSV?

It looks to me like what's happening in your chart above is for some reason the index column of the dataframe is being used for the y-values instead of view_count -- I can see that the y-values in the chart are ascending numbers from 0-14.

import plotly.graph_objects as go
import pandas as pd


daily_views = pd.DataFrame({
    "viewed_date": ["2025-02-20", "2025-02-21", "2025-02-24", "2025-02-25", "2025-02-26", "2025-02-27", "2025-02-28", "2025-03-04", "2025-03-05", "2025-03-06", "2025-03-07", "2025-03-10", "2025-03-12", "2025-03-13", "2025-03-17"],
    "view_count": [2, 14, 2, 2, 3, 6, 2, 1, 5, 7, 1, 1, 6, 2, 1],
    "cumulative_views": [2, 16, 18, 20, 23, 29, 31, 32, 37, 44, 45, 46, 52, 54, 55],
})
fig = go.Figure()
fig.add_scatter(
    x=daily_views["viewed_date"],
    y=daily_views["view_count"],
    mode="lines+markers",
    name="Daily Views",
)
fig.show()

[sstripps1]

I was able to replicate the issue by wrapping the figure in a ddk.Graph - outside of this the issue doesn't occur.

However, upgrading to ddk==2.0.0 fixes it - so probably no change needed here :)

cc @emilykl