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...
51 comments
Read more

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 G...
45 comments
Read more

Machine Learning-Linear Regression

Another post starts with you beautiful people! In my previous posts we have learnt the Python basics and advanced, statistics techniques for the Data Science track. I suggest you to please read previous post just for 10-15 min. before sleeping daily and then there is no any obstacle to stop you to become a great Data Scientist. In this post we will start our Machine Learning  track with the  Linear Regression   topic. I Have highlighted the both so please click on the link to know the formal definition of those. Machine learning-  More specifically the field of predictive modeling is primarily concerned with minimizing the error of a model or making the most accurate predictions possible, at the expense of explainability. In applied machine learning we will borrow, reuse and steal algorithms from many different fields, including statistics and use them towards these ends. Linear Regression was developed in the field of statistics and is studied as a model ...
3 comments
Read more