Skip to main content

Python Advanced- pyplot with Matplotlib

Another post starts with you beautiful people and today we will learn about Matplotlib library.
Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.
For more details about this library please visit here matplotlib library

Let's starts with plotting a pyplot for the example of stock I have given in my previous page of DataFrame. If you haven't seen that post please go to the side bar of the blog at right top most corner and see Python Advanced- DataFrame.

For a quick view I have a stock price data where I have done some cleaning as below-


Now I want to compute 10 days moving average of the stock data-

Next we need to import the required library as below-

Here %matplotlib inline displays our plot after every line of code.

Now it's time make a plot for our stock data-

See how a beautiful plot is prepared with some simple pyplot methods.

Comments

Post a Comment

Popular posts from this blog

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...

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...

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...