Contrasting Plotly And Seaborn

Natasha Sharma contrasts the Seaborn and Plotly libraries for visualizing data:

It was important to use a library which can provide easy and high-class interactivity. Before embedding the plots into my website code, I tested a few different libraries like Matplotlib and Seaborn in order to visualize the results and to see how different they can look. After few trials, I came across Plotly library and found it valuable for my project because of its inbuilt functionality which gives user a high class interactivity.

In this post, I am going to compare Seaborn and Plotly using – Bar Chart and Heatmap diagram. I will be using Breast cancer dataset to visualize these plots. But before jumping into the comparison, the dataset I used needed preprocessing like data cleaning so, I followed steps.

In this case, the contrast is mostly lines of code versus visual quality; read on for more.

Related Posts

TensorFlow Lite

Laurence Maroney explains TensorFlow Lite: TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices. It enables on-device machine learning inference with low latency and a small binary size. TensorFlow Lite also supports hardware acceleration with the Android Neural Networks API. It’s designed to be low-latency, with optimized kernels for mobile apps, pre-fused activations and […]

Read More

Push-Based Alerting With Kafka Streams

Robin Moffatt shows how to take syslog data and create a notification app using Python and Kafka Streams: Now we can query from it and show the aggregate window timestamp alongside the result: ksql> SELECT ROWTIME, TIMESTAMPTOSTRING(ROWTIME, 'yyyy-MM-dd HH:mm:ss'), \ HOST, INVALID_LOGIN_COUNT \ FROM INVALID_USERS_LOGINS_PER_HOST; 1521644100000 | 2018-03-21 14:55:00 | rpi-03 | 1 1521646620000 | […]

Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

Categories

April 2018
MTWTFSS
« Mar  
 1
2345678
9101112131415
16171819202122
23242526272829
30