{"id":23069808,"url":"https://github.com/patilni3/matplotlib-in-depth","last_synced_at":"2025-04-03T10:13:31.578Z","repository":{"id":261390744,"uuid":"884172199","full_name":"PatilNi3/Matplotlib-In-Depth","owner":"PatilNi3","description":"Python's Matplotlib Library for Data Analysis, Machine Learning, Data Science and many more...","archived":false,"fork":false,"pushed_at":"2024-11-06T09:39:53.000Z","size":1703,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-08T23:27:09.558Z","etag":null,"topics":["data-analysis","data-representation","data-science","data-visualization","matplotlib","matplotlib-pyplot","plots-in-python","powerbi","seaborn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/PatilNi3.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-06T09:26:04.000Z","updated_at":"2024-12-05T04:21:57.000Z","dependencies_parsed_at":"2024-11-06T10:53:11.049Z","dependency_job_id":"343d54ca-c3cc-43ab-a352-d4fa1b77edcc","html_url":"https://github.com/PatilNi3/Matplotlib-In-Depth","commit_stats":null,"previous_names":["patilni3/matplotlib-in-depth"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatilNi3%2FMatplotlib-In-Depth","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatilNi3%2FMatplotlib-In-Depth/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatilNi3%2FMatplotlib-In-Depth/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PatilNi3%2FMatplotlib-In-Depth/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PatilNi3","download_url":"https://codeload.github.com/PatilNi3/Matplotlib-In-Depth/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246981174,"owners_count":20863828,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","data-representation","data-science","data-visualization","matplotlib","matplotlib-pyplot","plots-in-python","powerbi","seaborn"],"created_at":"2024-12-16T06:17:24.023Z","updated_at":"2025-04-03T10:13:31.555Z","avatar_url":"https://github.com/PatilNi3.png","language":"Jupyter Notebook","readme":"## Introduction:\nMatplotlib is a comprehensive library for creating static, animated, and interactive visualizations.\nMatplotlib is a widely-used plotting library for Python that allows users to create a variety of static, animated, and interactive visualizations in a simple and effective way. It is highly customizable and provides a range of options for creating high-quality graphs and plots.\n\n## Installation:\n  1. **pip:** pip install matplotlib\n  2. **conda:** conda install -c conda-forge matplotlib\n\n## Key Features\n1. What is Matplotlib and What is Matplotlib Figure?\n2. Advantages of Matplotlib\n3. Different types of plots in Matplotlib with their use cases and examples\n4. [Line Plot](#line-plot)\n5. [Scatter Plot](#scatter-plot)\n6. [Bar Plot](#bar-plot)\n7. [Horizontal Bar Plot](#horizontal-bar-plot)\n8. [Histogram](#histogram)\n9. [Box Plot](#box-plot)\n10. [Pie Chart](#pie-chart)\n11. [Heatmap](#heatmap)\n12. [Violin Plot](#violin-plot)\n13. [3D Plot](#3d-plot)\n\n## Reference:\n\n### 1. Books: \n[Scientific Visualization: Python + Matplotlib (2021)](https://inria.hal.science/hal-03427242/) by Nicolas P. Rougier\n\n[Mastering matplotlib](https://www.packtpub.com/en-us/product/mastering-matplotlib-9781783987542) by Duncan M. McGreggor\n\n[Interactive Applications Using Matplotlib](https://www.packtpub.com/en-us/product/interactive-applications-using-matplotlib-9781783988846) by Benjamin Root\n\n### 2. Videos:\n[Plotting with matplotlib](https://youtu.be/P7SVi0YTIuE?si=ltjzBnFTQlu3Fh6C) by Mike Müller\n\n[Introduction to NumPy and Matplotlib](https://youtu.be/3Fp1zn5ao2M?si=t8gWp21pyHAjwSJX) by Eric Jones\n\n[Matplotlib Introduction](https://youtube.com/playlist?list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl\u0026si=Dul8vIVBKQADHMva) by codebasics\n\n### 3. Tutorial:\n[Matplotlib tutorial](https://github.com/rougier/matplotlib-tutorial) by Nicolas P. Rougier\n\n[Anatomy of Matplotlib - IPython Notebooks](https://github.com/matplotlib/AnatomyOfMatplotlib) by Benjamin Root\n\n[Beyond the Basics: Data Visualization in Python](https://github.com/stefmolin/python-data-viz-workshop) by Stefanie Molin\n\n# Thank You ☺\n\n\n\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatilni3%2Fmatplotlib-in-depth","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpatilni3%2Fmatplotlib-in-depth","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpatilni3%2Fmatplotlib-in-depth/lists"}