I am new to Jupyter notebook and this is on Jupyter LAB. While executing PySpark SQL query, the output is getting wrapped around.
In the classic Jupyter notebook, the following html code help to get the data in tabular format. Is there a way to have the similar functionality in notebook on LAB.
%%html <style> div.output_area pre {white-space: pre;} </style>
Thanks
Manoj George
Related
I have this problem of Semantic Segmentation data in Google Colab and Jupyter Notebook. Here's an example. This is the picture from Jupyter Notebook.
https://i.stack.imgur.com/slBeI.png
This is the picture from Google Colab.
https://i.stack.imgur.com/BNXOw.png
As you can see, the Segmentation map is different between these 2 pictures. Is there anyone has this problem related? And is there any solution for this type of problems? Thanks Ahead!
If I try the code from the accepted answer in here, it works fine on my local Jupyter Lab but unfortunately not on Google Colab.
Any idea why is this?
Jupyter Lab:
Google Colab:
Thanks in advance,
I have a list that each element composed of 4 entries - episode, reward,exploration_rate, and running average. I want to visualize the results by the Tensorboard.
There is some way to visualize these results?
It should be mentioned that I already have the results, so I cant use Callbacks. Currently, I have the results as a Matplotlib plot (Presented in the figure). However, I want to use TensorBoard.
Thanks.
Start by activating your environment in which tensorflow is installed.
conda activate <tensorflow_env>
Then, follow the below command by passing your "log_directory" as the parameter
tensorboard --logdir <log directory>
Kindly follow the link
https://www.tensorflow.org/tensorboard/image_summaries
Encountered this issue with 2 different visualization libraries.
PYLDAVIS and DISPLACY (spacy).
On executing a code in jupyterlab (kernel as python3), the output expected should be Jupyter Notebook to show the graph or webcontent. But my Jupyter doesnt show any output with graph / dependency image . I only see textual output in JupyterLab.
eg.
displacy.serve(doc, style='dep')
I'm using KAGGLE docker image which has JUPYTERLAB and on top of that I have updated to latest packages.
Any pointers if this is JUPYTERLAB related or underlying packages?
I can only really comment on the spaCy part of this, but one thing I noticed is that you are using displacy.serve instead of displacy.render, which would be the correct method to call from within a Jupyter environment (see the spaCy visualizer docs for a full example and more details). The reason behind this is that displacy.serve will start a web server to show the visualization in a browser – all of which is not necessary if you're already in a Jupyter Notebook. So when you call displacy.render, it will detect your Jupyter environment, and wrap the visualization accordingly. You can also set jupyter=True to force this behaviour.
try
from spacy import displacy
displacy.render(doc, style="dep", jupyter=True, options={'distance': 140})
or
displacy.render(doc, style="ent", jupyter=True, options={'distance': 140})
I'm able to display the tf graph itself in Jupyter using code from here:
Simple way to visualize a TensorFlow graph in Jupyter?
But I'm interested in more full featured tensorboard functionality, like visualizing training progress. I'm running in Azure Notebooks, where I'm not able to run a tensorboard server.