Complete Tutorial on Pygal: A Python Tool for Interactive and Scalable visualization

ata visualization is a scientific method of finding out the patterns, anomalies, and outliers in the data. It is a method that is used to create the graphs and plots which helps in finding out the trend in the data because it makes data simpler in terms of understanding by the human brain and we identify trends with naked eyes.

Python provides different visualization packages that help in creating different types of charts, graphs, and plots. Pygal is an open-source python library that not only creates highly interactive plots but also creates SVG images of the graphs/plots so that we can use it and customize it accordingly. Pygal is highly customizable and creates graphs with a few lines of code.

Pygal creates a variety of plots like a bar, area, histogram, line, etc and due to the high scalability of the images of the plot downloaded as SVG, we will have good quality images that can be embedded into different projects, websites, etc.


In this article, we will go through different charts that we can create using pygal and also see how we can download them in the SVG format.

Implementation:

We will start exploring pygal but before that, we need to install pygal using pip install pygal.

  1. Importing required libraries

We will be importing pygal for visualization and pandas for importing the dataset for which we will be creating the visualizations.

import pandas as pd

import pygal

  1. Loading the Dataset

We will be working with an Advertisement dataset that contains different attributes like ‘TV’, ‘Radio’, etc. and a target variable ‘Sales’.


#developers corner #data visualisation #interactive plots #pygal #python tool #scalability #tutorial #visualization #visualization library

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Complete Tutorial on Pygal: A Python Tool for Interactive and Scalable visualization

Complete Tutorial on Pygal: A Python Tool for Interactive and Scalable visualization

ata visualization is a scientific method of finding out the patterns, anomalies, and outliers in the data. It is a method that is used to create the graphs and plots which helps in finding out the trend in the data because it makes data simpler in terms of understanding by the human brain and we identify trends with naked eyes.

Python provides different visualization packages that help in creating different types of charts, graphs, and plots. Pygal is an open-source python library that not only creates highly interactive plots but also creates SVG images of the graphs/plots so that we can use it and customize it accordingly. Pygal is highly customizable and creates graphs with a few lines of code.

Pygal creates a variety of plots like a bar, area, histogram, line, etc and due to the high scalability of the images of the plot downloaded as SVG, we will have good quality images that can be embedded into different projects, websites, etc.


In this article, we will go through different charts that we can create using pygal and also see how we can download them in the SVG format.

Implementation:

We will start exploring pygal but before that, we need to install pygal using pip install pygal.

  1. Importing required libraries

We will be importing pygal for visualization and pandas for importing the dataset for which we will be creating the visualizations.

import pandas as pd

import pygal

  1. Loading the Dataset

We will be working with an Advertisement dataset that contains different attributes like ‘TV’, ‘Radio’, etc. and a target variable ‘Sales’.


#developers corner #data visualisation #interactive plots #pygal #python tool #scalability #tutorial #visualization #visualization library

Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Art  Lind

Art Lind

1602968400

Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development

Art  Lind

Art Lind

1602666000

How to Remove all Duplicate Files on your Drive via Python

Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.

Intro

In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.

Heres a solution

Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.

But How do we do it?

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.

There’s a variety of hashing algorithms out there such as

  • md5
  • sha1
  • sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips