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.

Comments

  1. 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. 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. 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. 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 use opencv-python with Darknet's YOLOv4?

Another post starts with you beautiful people 😊 Thank you all for messaging me your doubts about Darknet's YOLOv4. I am very happy to see in a very short amount of time my lovely aspiring data scientists have learned a state of the art object detection and recognition technique. If you are new to my blog and to computer vision then please check my following blog posts one by one- Setup Darknet's YOLOv4 Train custom dataset with YOLOv4 Create production-ready API of YOLOv4 model Create a web app for your YOLOv4 model Since now we have learned to use YOLOv4 built on Darknet's framework. In this post, I am going to share with you how can you use your trained YOLOv4 model with another awesome computer vision and machine learning software library-  OpenCV  and of course with Python 🐍. Yes, the Python wrapper of OpenCV library has just released it's latest version with support of YOLOv4 which you can install in your system using below command- pip install opencv-python --up

How to install and compile YOLO v4 with GPU enable settings in Windows 10?

Another post starts with you beautiful people! Last year I had shared a post about  installing and compiling Darknet YOLOv3   in your Windows machine and also how to detect an object using  YOLOv3 with Keras . This year on April' 2020 the fourth generation of YOLO has arrived and since then I was curious to use this as soon as possible. Due to my project (built on YOLOv3 :)) work I could not find a chance to check this latest release. Today I got some relief and successfully able to install and compile YOLOv4 in my machine. In this post I am going to share a single shot way to do the same in your Windows 10 machine. If your machine does not have GPU then you can follow my  previous post  by just replacing YOLOv3 related files with YOLOv4 files. For GPU having Windows machine, follow my steps to avoid any issue while building the Darknet repository. My machine has following configurations: Windows 10 64 bit Intel Core i7 16 GB RAM NVIDIA GeForce GTX 1660 Ti Version 445.87

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