# Displaying HTML file generated by Plotly.offline in a jupyter notebook
**URL:** https://community.plotly.com/t/displaying-html-file-generated-by-plotly-offline-in-a-jupyter-notebook/19586
**Category:** đ Plotly Python
**Created:** [February 14, 2019, 3:01pm UTC](https://community.plotly.com/t/displaying-html-file-generated-by-plotly-offline-in-a-jupyter-notebook/19586 "2019-02-14T15:01:38Z")
**Posts on this page:** 5
**Page:** 1
### Author:  [@Khreas](https://community.plotly.com/u/Khreas)
#### Post date: [February 14, 2019, 3:01pm UTC](https://community.plotly.com/t/displaying-html-file-generated-by-plotly-offline-in-a-jupyter-notebook/19586/1 "2019-02-14T15:01:38Z")
Hello!
Iâve been generating some graphs using plotly and I stored them as HTML files to reuse them later.
I now want to display those files in a Jupyter notebook, in the following way:
```auto
from IPython.display import HTML
# Not sure if those two lines were necessary, but I tried both with or without them and I obtained the same behaviour
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)
HTML('path/to/plotly_file.html)
```
The code execution completes but the output remains blank afterwards.
Hereâs a code that generates a dummy html file (coming from the documentation) :
```auto
from IPython.display import HTML, display
import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)
import numpy as np
N = 1000
random_x = np.random.randn(N)
random_y = np.random.randn(N)
# Create a trace
trace = go.Scatter(
x = random_x,
y = random_y,
mode = 'markers'
)
data = [trace]
# Store the figure to a html file
plot(data, filename='basic-scatter.html', auto_open=False)
```
Has anyone experienced such behaviour? I can display HTML files from other sources, but I canât seem to understand why Plotly html files arenât displayed.
Thanks!
---
### Author:  [@jmmease](https://community.plotly.com/u/jmmease)
#### Post date: [February 15, 2019, 10:33am UTC](https://community.plotly.com/t/displaying-html-file-generated-by-plotly-offline-in-a-jupyter-notebook/19586/2 "2019-02-15T10:33:08Z")
Hi @Khreas,
What if you use the `filename` argument to `HTML`. See [https://github.com/jupyter/notebook/issues/725#issuecomment-297801186](https://github.com/jupyter/notebook/issues/725#issuecomment-297801186).
You might try using an IPython `IFrame` rather than `HTML` (See [https://ipython.org/ipython-doc/3/api/generated/IPython.display.html#IPython.display.IFrame](https://ipython.org/ipython-doc/3/api/generated/IPython.display.html#IPython.display.IFrame)). For the `IFrame` case, you might need to place the html file in the same directory and your notebook (or in a subdirectory under the notebook) and use a relative path due to common browser security settings.
Hope that gives you some ideas!
-Jon
---
### Author:  [@Khreas](https://community.plotly.com/u/Khreas)
#### Post date: [February 15, 2019, 11:35am UTC](https://community.plotly.com/t/displaying-html-file-generated-by-plotly-offline-in-a-jupyter-notebook/19586/3 "2019-02-15T11:35:05Z")
Hi!
The first solution doesnât seem to work on my side. However the second one works like a charm in my case, I just need to figure out the width / height of the notebook cells but it should be fine.
Thanks a lot!
-Khreas
---
### Author:  [@jraviotta](https://community.plotly.com/u/jraviotta)
#### Post date: [August 18, 2019, 1:40pm UTC](https://community.plotly.com/t/displaying-html-file-generated-by-plotly-offline-in-a-jupyter-notebook/19586/4 "2019-08-18T13:40:34Z")
neither suggestion works for me.
given:
```python
...
# Store the figure to a html file
plot(data, filename='user_data/user_repo/notebooks/basic-scatter.html', auto_open=False)
```
And verifying the file exists
All of the following HTML commands fail to render the plot
```python
from IPython.display import HTML
HTML(filename='user_data/user_repo/notebooks/basic-scatter.html')
HTML(filename="/mnt/d/Documents/Repos/freqtrade/user_data/user_repo/notebooks/basic-scatter.html")
display(HTML(filename='user_data/user_repo/notebooks/basic-scatter.html'))
display(HTML(filename="/mnt/d/Documents/Repos/freqtrade/user_data/user_repo/notebooks/basic-scatter.html"))
```
Similarly, the IFrame method yields an IFrame with a 404 error:
```python
from IPython.display import IFrame
IFrame('user_data/user_repo/notebooks/basic-scatter.html', 500,500)
IFrame('/mnt/d/Documents/Repos/freqtrade/absuser_data/user_repo/notebooks/basic-scatter.html', 500,500)
display(IFrame('user_data/user_repo/notebooks/basic-scatter.html', 500,500))
display(IFrame('/mnt/d/Documents/Repos/freqtrade/absuser_data/user_repo/notebooks/basic-scatter.html', 500,500))
```
My config:
```auto
WSL using
PRETTY_NAME="Debian GNU/Linux 9 (stretch)"
NAME="Debian GNU/Linux"
VERSION_ID="9"
VERSION="9 (stretch)"
ID=debian
HOME_URL="https://www.debian.org/"
SUPPORT_URL="https://www.debian.org/support"
BUG_REPORT_URL="https://bugs.debian.org/"
Renderers configuration
-----------------------
Default renderer: 'plotly_mimetype+notebook'
Available renderers:
['plotly_mimetype', 'jupyterlab', 'nteract', 'vscode',
'notebook', 'notebook_connected', 'kaggle', 'azure', 'colab',
'json', 'png', 'jpeg', 'jpg', 'svg', 'pdf', 'browser',
'firefox', 'chrome', 'chromium', 'iframe', 'iframe_connected',
'sphinx_gallery']
$ conda list -n freqtrade
# packages in environment at /mnt/c/users/jravi/miniconda3/envs/freqtrade:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
aiodns 1.1.1 pypi_0 pypi
aiohttp 3.5.4 pypi_0 pypi
arrow 0.13.1 py37_0
asn1crypto 0.24.0 py37_0
async-timeout 3.0.1 pypi_0 pypi
atomicwrites 1.3.0 py37_1
attrs 19.1.0 py37_1
backcall 0.1.0 py37_0
blas 1.0 mkl
ca-certificates 2019.5.15 0
cachetools 3.1.1 py_0 conda-forge
ccxt 1.18.999 pypi_0 pypi
certifi 2019.6.16 py37_1
cffi 1.12.3 py37h2e261b9_0
chardet 3.0.4 py37_1003
click 7.0 py37_0
coinmarketcap 5.0.3 pypi_0 pypi
coverage 4.5.3 py37h7b6447c_0
coveralls 1.8.2 py_0
cryptography 2.7 py37h1ba5d50_0
cycler 0.10.0 py37_0
cython 0.29.13 pypi_0 pypi
dbus 1.13.6 h746ee38_0
decorator 4.4.0 py37_1
docopt 0.6.2 py37_0
entrypoints 0.3 py37_0
expat 2.2.6 he6710b0_0
filelock 3.0.12 py_0
flake8 3.7.7 py37_0
flake8-tidy-imports 2.0.0 pypi_0 pypi
flake8-type-annotations 0.1.0 pypi_0 pypi
flask 1.1.1 py_0
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
freqtrade 2019.7.dev0 dev_0
future 0.17.1 py37_0
glib 2.56.2 hd408876_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
icu 58.2 h9c2bf20_1
idna 2.8 py37_0
importlib_metadata 0.17 py37_1
intel-openmp 2019.4 243
ipykernel 5.1.1 py37h39e3cac_0
ipython 7.7.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
isort 4.3.21 py37_0
itsdangerous 1.1.0 py37_0
jedi 0.13.3 py37_0
jinja2 2.10.1 py37_0
joblib 0.13.2 py37_0
jpeg 9b h024ee3a_2
jsonschema 3.0.1 py37_0
jupyter_client 5.3.1 py_0
jupyter_core 4.5.0 py_0
kiwisolver 1.1.0 py37he6710b0_0
libedit 3.1.20181209 hc058e9b_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
libpng 1.6.37 hbc83047_0
libsodium 1.0.16 h1bed415_0
libstdcxx-ng 9.1.0 hdf63c60_0
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.9 hea5a465_1
markupsafe 1.1.1 py37h7b6447c_0
matplotlib 3.1.0 py37h5429711_0
mccabe 0.6.1 py37_1
mkl 2019.4 243
mkl-service 2.0.2 py37h7b6447c_0
mkl_fft 1.0.12 py37ha843d7b_0
mkl_random 1.0.2 py37hd81dba3_0
more-itertools 7.2.0 py37_0
multidict 4.5.2 pypi_0 pypi
mypy 0.701 py_1
mypy_extensions 0.4.1 py37_0
nbformat 4.4.0 py37_0
ncurses 6.1 he6710b0_1
numpy 1.16.4 py37h7e9f1db_0
numpy-base 1.16.4 py37hde5b4d6_0
openssl 1.1.1c h7b6447c_1
packaging 19.0 py37_0
pandas 0.25.0 py37he6710b0_0
parso 0.5.0 py_0
pcre 8.43 he6710b0_0
pexpect 4.7.0 py37_0
pickleshare 0.7.5 py37_0
pip 19.1.1 py37_0
plotly 4.0.0 py_0
pluggy 0.12.0 py_0
prompt_toolkit 2.0.9 py37_0
psutil 5.4.8 py37h7b6447c_0
ptyprocess 0.6.0 py37_0
py 1.8.0 py37_0
py-find-1st 1.1.3 pypi_0 pypi
pycares 3.0.0 pypi_0 pypi
pycodestyle 2.5.0 py37_0
pycparser 2.19 py37_0
pyflakes 2.1.1 py37_0
pygments 2.4.2 py_0
pyopenssl 19.0.0 py37_0
pyparsing 2.4.0 py_0
pyqt 5.9.2 py37h05f1152_2
pyrsistent 0.14.11 py37h7b6447c_0
pysocks 1.7.0 py37_0
pytest 5.0.1 py37_0
pytest-asyncio 0.10.0 py37_1000
pytest-cov 2.7.1 py_0
pytest-mock 1.10.4 py37_0
pytest-random-order 1.0.4 pypi_0 pypi
python 3.7.3 h0371630_0
python-dateutil 2.8.0 py37_0
python-dotenv 0.10.3 py_0 conda-forge
python-rapidjson 0.6.3 py37he6710b0_0
python-telegram-bot 11.1.0 py_0 conda-forge
pytz 2019.1 py_0
pyyaml 5.1.1 py37h7b6447c_0
pyzmq 18.0.0 py37he6710b0_0
qt 5.9.7 h5867ecd_1
readline 7.0 h7b6447c_5
requests 2.22.0 py37_0
requests-cache 0.5.0 pypi_0 pypi
retrying 1.3.3 py37_2
scikit-learn 0.21.2 py37hd81dba3_0
scikit-optimize 0.5.2 py_0 conda-forge
scipy 1.3.0 py37h7c811a0_0
sdnotify 0.3.2 pypi_0 pypi
setuptools 41.0.1 py37_0
sip 4.19.8 py37hf484d3e_0
six 1.12.0 py37_0
sqlalchemy 1.3.5 py37h7b6447c_0
sqlite 3.29.0 h7b6447c_0
ta-lib 0.4.17 pypi_0 pypi
tabulate 0.8.3 py37_0
tk 8.6.8 hbc83047_0
tornado 6.0.3 py37h7b6447c_0
traitlets 4.3.2 py37_0
typed-ast 1.3.4 py37h7b6447c_0
ujson 1.35 py37h14c3975_0
urllib3 1.24.2 py37_0
wcwidth 0.1.7 py37_0
werkzeug 0.15.4 py_0
wheel 0.33.4 py37_0
wrapt 1.11.2 py37h7b6447c_0
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
yapf 0.27.0 py_0
yarl 1.1.0 pypi_0 pypi
zeromq 4.3.1 he6710b0_3
zipp 0.5.2 py_0
zlib 1.2.11 h7b6447c_3
```
---
### Author:  [@charleschen0611](https://community.plotly.com/u/charleschen0611)
#### Post date: [May 18, 2023, 7:25pm UTC](https://community.plotly.com/t/displaying-html-file-generated-by-plotly-offline-in-a-jupyter-notebook/19586/5 "2023-05-18T19:25:08Z")
The following code works as an alternative.
import chart\_studio
import chart\_studio.plotly as py
import chart\_studio.tools as tls
import plotly.graph\_objects as go
chart\_studio.tools.set\_credentials\_file(username=âcharleschen0611â, api\_key=âwgwS9eStWhbivRK3kZ2zâ)
trace = go.Scatter(
x=[1, 2, 3],
y=[4, 5, 6]
)
data = [trace]
layout = go.Layout(title=âMy Plotâ)
fig = go.Figure(data=data, layout=layout)
### Now, instead of using iplot(), you can use py.plot() to upload your plots to your chart\_studio account
# py.plot(fig, filename = âmy\_plotâ, auto\_open=True)
display(fig.show())