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 can I make a simple ChatBot?

Another post starts with you beautiful people! It has been a long time of posting a new post. But my friends in this period I was not sitting  where I got a chance to work with chatbot and classification related machine learning problem. So in this post I am going to share all about chatbot- from where I have learned? What I have learned? And how can you build your first bot? Quite interesting right! Chatbot is a program that can conduct an intelligent conversation based on user's input. Since chatbot is a new thing to me also, I first searched- is there any Python library available to start with this? And like always Python has helped me this time also. There is a Python library available with name as  ChatterBot   which is nothing but a machine learning conversational dialog engine. And yes that is all I want to start my learning because I always prefer inbuilt Python library to start my learning journey and once I learn this then only I move ahead for another...
13 comments
Read more

Detecting Credit Card Fraud As a Data Scientist

Another post starts with you beautiful people! Hope you have learnt something from my previous post about  machine learning classification real world problem Today we will continue our machine learning hands on journey and we will work on an interesting Credit Card Fraud Detection problem. The goal of this exercise is to anonymize credit card transactions labeled as fraudulent or genuine. For your own practice you can download the dataset from here-  Download the dataset! About the dataset:  The datasets contains transactions made by credit cards in September 2013 by european cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions. Let's start our analysis with loading the dataset first:- As per the  official documentation -  features V1, V2, ... V28 are the principal compo...
32 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...
42 comments
Read more