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Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop

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This Python 3 module helps you speedup generation of subplots in pseudo-parallel mode using matplotlib and multiprocessing. This can be useful if you are dealing with expensive preprocessing or plotting tasks such as violin plots per subplot.

A basic extension library for creating tree dot plots, strip plots or dot charts w/ matplotlib or seaborn in Python

🧘‍♂️🤖 Flask, OpenCV, and MediaPipe power this yoga project for real-time pose detection. Using a webcam feed, it dynamically classifies poses with MediaPipe, while Flask enables web deployment. OpenCV manages video streaming and image processing, creating an interactive platform for yoga enthusiasts to practice effectively.

Whatsmybitrate analyzes audio files for quality metrics such as bit rate, frequency, and codec type in bulk. It also generates spectrograms for visual representation of the audio spectrum. It supports a variety of audio formats, including MP3, FLAC, WAV, AAC, M4A, and more.

Draw candlestick chart that shows Chinese chart in title by matplotlib and mpl_finance

A simple tool for user to draw contour plot in PFC3D

Project during College utilizing Python with database and matplotlib -> made on November 21, 2021

Two Data Visualization about the relationship between PROMs scores after surgery and weather conditions on the day of compilation. Made with the matplotlib library.

Nuclear and Chemical data with Plug-Unplug Systematics [MQ2 MQ3 MQ4 MQ5 MQ6 MQ7 MQ8 MQ9 MQ131 MQ135 MQ136 MQ137 MQ303A MQ309A Geiger Counter] Multi-Purpose that can configure with SQL and PHP, save data, do data science with Python, color scale with Lidar, deep learning with yolov9, objects with Pixy2 and location with GPS system Discovery Vehicle.

In this, a Python project is created using Graphical Representation methods with the help of Data Visualization.

Heart Attack Prediction Using Machine Learning Algorithm

Python Covid DataSet Kurs Notlari

Analyzing the customer dataset and developing a machine learning solution to segment customers into meaningful groups based on their purchasing behavior, demographics, and interaction with past marketing campaigns.

Using an analytical description for data, the theory of information objectifies the number of bits required to represent the data which is the source's information entropy. Coding theory is the study related to the nature of codes and their individual capability for particular applications.

The app is a word cloud generator that uses matplotlib and Kivy to visualize word clouds.

Matplotlib wrapper with some customisations to plot pretty graphs with very few lines of code. Plots can be updated using an interactive GUI.

A Python repository for analyzing and visualizing Formula 1 data. Includes tools for race statistics, performance comparisons, and custom visualizations.