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Articles by Priya Mishra
Page 2 of 14
Plotting World Map Using Pygal in Python
With the help of the Pygal library of Python, we can create stunning world maps in Python as it provides different functions to create and customize the graphs. This article explores the step-by-step process of plotting a world map, customizing the map's style, adding data to highlight countries or regions, and rendering the map to an SVG file. Whether you want to visualize geographic data, showcase international statistics, or create interactive visualizations, Pygal provides a powerful toolset for displaying global information with ease. Prerequisites Before we start, make sure you have Pygal installed ? pip install ...
Read MorePlotting the Growth Curve of Coronavirus in various Countries using Python
Explore the dynamic world of COVID-19 data through Python as we analyze and visualize the growth curve of the virus in different countries. This tutorial demonstrates how to process COVID-19 data, create interactive visualizations, and generate growth curve plots using Python libraries like pandas and plotly. Overview We will create an interactive graph to visualize the growth of total COVID-19 cases for any country. The program will also display available countries for selection. The dataset can be downloaded from https://ourworldindata.org/. Required Libraries First, let's import the necessary libraries ? import pandas as pd import ...
Read MorePlotting random points under sine curve in Python Matplotlib
Plotting random points under a sine curve is a fascinating visualization technique that demonstrates how to create scattered data that follows a mathematical pattern. This approach combines random point generation with trigonometric functions to create engaging plots using Matplotlib. This article explores generating random points, calculating their sine-based coordinates, and adding random variations to create a natural scatter effect around the sine curve. Basic Approach The core concept involves generating random x-coordinates, computing their sine values, and adding random offsets to create scatter around the curve ? import numpy as np import matplotlib.pyplot as plt ...
Read MorePlotting ICMR approved test centers on Google Maps using folium package
In the quest to combat the COVID-19 pandemic, accurate and accessible information about ICMR-approved test centers is crucial. This can be achieved using Python's folium package to create interactive maps showing test center locations. By combining geospatial data with interactive mapping capabilities, we can help individuals easily locate nearby testing facilities. This article demonstrates how to use the folium package to create dynamic maps, customize markers, and provide informative pop-ups for ICMR-approved test centers. What is Folium? The folium package is a Python library that creates interactive maps using the Leaflet.js JavaScript library. It provides a user-friendly ...
Read MorePlotting graph For IRIS Dataset Using Seaborn And Matplotlib
The Iris dataset is a widely recognized benchmark in data analysis and visualization. This article presents a comprehensive guide on plotting graphs for the Iris dataset using two powerful Python libraries: Seaborn and Matplotlib. We'll explore data loading, preprocessing, analysis, and creating insightful visualizations. Using Seaborn's built-in Iris dataset and pairplot function, we'll create scatter plots that showcase relationships between different features and the distinct species of Iris flowers. Loading the Iris Dataset First, let's import the required libraries and load the dataset ? import seaborn as sns import matplotlib.pyplot as plt import pandas as ...
Read MorePlotting cross-spectral density in Python using Matplotlib
Cross-spectral density analysis in Python provides an effective way to understand frequency characteristics and relationships between signals. This article explores how to plot cross-spectral density using Python and Matplotlib to visualize frequency spectra and reveal signal correlations. We'll demonstrate generating signals, computing their cross-spectral density, and creating insightful visualizations using a systematic approach. What is Cross-Spectral Density? Cross-spectral density is a mathematical metric that examines frequency characteristics and relationships between two signals. It reveals how the power of one signal at different frequencies correlates with another signal's power at those same frequencies. By computing cross-spectral density, ...
Read MorePlotting a Sawtooth Wave using Matplotlib
In signal processing and waveform analysis, the sawtooth wave holds significant importance and can be plotted using Matplotlib. Understanding its behavior and visualizing it can aid in various applications, such as audio synthesis and digital communications. This article explores how to generate and plot a sawtooth wave using the powerful Python library Matplotlib. With step-by-step explanations and example code, we delve into the fundamentals of creating a sawtooth wave, adjusting its parameters, and visualizing it using Matplotlib's plotting capabilities. What is a Sawtooth Wave? A sawtooth wave is a type of periodic waveform that resembles the teeth ...
Read MorePlot Live Graphs using Python Dash and Plotly
Python provides powerful tools like Dash and Plotly for creating interactive and dynamic visualizations. We can create live graphs to visualize data in real-time, which is essential for monitoring systems, tracking financial trends, or displaying live analytics. This article explores how to plot live graphs using Python Dash and Plotly. We'll learn how to set up a Dash application, define the layout, and update graphs dynamically using callbacks. Installation Before starting, install the required packages ? pip install dash plotly Basic Live Graph Setup Here's a complete example that creates a live ...
Read MorePlot candlestick chart using mplfinance module in python
In the world of financial analysis, candlestick charts are an essential tool for visualizing stock price data. They provide valuable insights into market trends and patterns, showing open, high, low, and close prices for each time period. The mplfinance module in Python makes it easy to create professional-looking candlestick charts with minimal code. Let's explore how to create these charts step by step. What is mplfinance? The mplfinance module is a Python library specifically designed for visualizing financial market data. It provides an intuitive interface for creating highly customizable candlestick charts with features like volume bars, moving ...
Read MorePlaying Youtube Video using Python
Playing YouTube videos using Python is a powerful way to enhance your multimedia projects. Python's flexibility and extensive libraries provide developers with the tools to interact with YouTube's vast video collection programmatically. By leveraging the pytube library, developers can easily download YouTube videos and gather video information for their Python applications. In this article, we will guide you through the process of playing YouTube videos using Python step by step. Whether you're looking to integrate videos into your software or simply explore the possibilities of YouTube data manipulation. What is pytube? The pytube module is a useful ...
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