Skip to main content

Python Advanced- Plotting with seaborn

Another post starts with you beautiful people.
I hope you have learnt how to plot pyplot and scatter from the dataset and if not please visit my previous posts about those.
Today we will continue with our plotting lessons and learn how to plot a box plot [tell me more about box plot] and heat map [what is heat map?] with the help of seaborn library.
seaborn is a matplotlib based library for drawing more attractive graphics and for more details about this library please visit here seaborn library

We will use the same dataset as we used in ploting the scatter cars data so if you don't have the dataset, please download it from my previous post. The link is already given above.

Let's first import the library as below-
Now first plot the box plot-
The plot look pretty cool, right?

Let's move ahead and plot the heat map for the flights data and this data you can download from flight data download now

First load the data as below-

Next,arrange the data-

In the end plot the heat map as given below-

See the beauty of seaborn library. It makes our plot attractive.

Let's change the colour of the heat-

So keep practicing in your notebook and comment if you face any issue or follow me to take time to time update.
Labels:

Comments

  1. UpenderJune 21, 2018 at 1:06 PM

    Hi
    Nice blog this informations is unique information i haven't seen ever by seeing this blog i came know lots of new things those are very useful tom me i will suggest the peopele who are looking this type of information python training in hyderabad the best carer

    ReplyDelete
  2. UnknownJune 23, 2018 at 10:17 AM

    Hi
    Nice blog this information is unique information i haven't seen ever by seeing this blog i came know lots of new things
    python training in Hyderabad the best career

    ReplyDelete
  3. UnknownOctober 26, 2018 at 5:20 PM

    I really enjoyed reading your blog. I really appreciate your information which you shared with us. Click Here: Python Online Training || Python Online Course

    ReplyDelete
  4. UnknownOctober 27, 2018 at 2:41 PM

    Thanks For Sharing Such a useful information with us. Click Here: Python Online Training Python Online Course

    ReplyDelete

Post a Comment

Popular posts from this blog

How to deploy your ML model as Fast API?

Another post starts with you beautiful people! Thank you all for showing so much interests in my last posts about object detection and recognition using YOLOv4. I was very happy to see many aspiring data scientists have learnt from my past three posts about using YOLOv4. Today I am going to share you all a new skill to learn. Most of you have seen my post about  deploying and consuming ML models as Flask API   where we have learnt to deploy and consume a keras model with Flask API  . In this post you are going to learn a new framework-  FastAPI to deploy your model as Rest API. After completing this post you will have a new industry standard skill. What is FastAPI? FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. It is easy to learn, fast to code and ready for production . Yes, you heard it right! Flask is not meant to be used in production but with FastAPI you can use you...
49 comments
Read more

How can I become a TPU expert?

Another post starts with you beautiful people! I have two good news for all of you! First good news is that Tensorflow has released it's new version (TF 2.1) which is focused on TPUs and the most interesting thing about this release is that it now also supports Keras high level API. And second wonderful news is to help us get started Kaggle has launched a TPU Playground Challenge . This means there is no any way to stop you learning & using TPUs. In this post I am going to share you how to configure and use TPUs while solving a image classification problem. What are TPUs? You must have heard about TPU while using  Google Colab . Now Kaggle also supports this hardware accelerator. TPUs or Tensor Processing Units are hardware accelerators specialized in deep learning tasks. They were created by Google and have been behind many cutting edge results in machine learning research. Kaggle Notebooks are configured with TPU v3-8s, which is a specialized hardware with...
4 comments
Read more

How to convert your YOLOv4 weights to TensorFlow 2.2.0?

Another post starts with you beautiful people! Thank you all for your overwhelming response in my last two posts about the YOLOv4. It is quite clear that my beloved aspiring data scientists are very much curious to learn state of the art computer vision technique but they were not able to achieve that due to the lack of proper guidance. Now they have learnt exact steps to use a state of the art object detection and recognition technique from my last two posts. If you are new to my blog and want to use YOLOv4 in your project then please follow below two links- How to install and compile Darknet code with GPU? How to train your custom data with YOLOv4? In my  last post we have trained our custom dataset to identify eight types of Indian classical dance forms. After the model training we have got the YOLOv4 specific weights file as 'yolo-obj_final.weights'. This YOLOv4 specific weight file cannot be used directly to either with OpenCV or with TensorFlow currently becau...
87 comments
Read more