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#

matplotlib-pyplot

Here are 3,490 public repositories matching this topic...

A Unix, Windows, Raspberry Pi Object Speed Camera using python3, opencv, video streaming, motion tracking. Includes a Standalone Web Server , Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync scripts.

  • UpdatedApr 29, 2025
  • Python

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

  • UpdatedJul 6, 2023
  • Jupyter Notebook

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …

  • UpdatedDec 9, 2022
  • Jupyter Notebook
practical-python-data-viz-guide

To visualize function call flow for a C/C++ program using gdb and python

  • UpdatedMay 10, 2024
  • Python

In this project I am Cleaning, Analysing and creating Visualizations to make data easily accessible of ease use.

  • UpdatedFeb 11, 2024
  • Jupyter Notebook

Creative coding scripts and outputs using vanilla matplotlib

  • UpdatedMay 15, 2025
  • Jupyter Notebook

Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram or map.

  • UpdatedAug 24, 2021
  • Jupyter Notebook

Example of a way of bringing the Python 3 matplotlib.pyplot.fill_between function to 3D plots.

  • UpdatedJan 29, 2025
  • Python

Como obter os dados históricos e analisar ações da bolsa utilizando o Pandas

  • UpdatedMar 17, 2020
  • Jupyter Notebook
Scikit-image-processingimage_processing

The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, and XGBoost, this project provides an end-to-end solution for accurate price estimation.

  • UpdatedOct 16, 2023
  • Jupyter Notebook

To generate graph on online status for users in contact

  • UpdatedDec 12, 2022
  • Python

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

  • UpdatedDec 3, 2021
  • Python

🐍 Materiály, Zdrojové Kódy, Prezentácie ku kurzom Python, OOP, R, BI, Data Science, AI/ML, ChatGPT

  • UpdatedMay 7, 2025
  • Jupyter Notebook

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