python-matplotlib

There are 24 repositories under python-matplotlib topic.

  • milaan9/11_Python_Matplotlib_Module

    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 huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc

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  • ztqsteve/Uber-Rider-Churn-Analysis

    Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.

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  • nakigoe

    nakigoe/nakigoe

    Full Stack Web Developer ASP.NET Core Blazor | Russian | Tajik | Mandarin | Japanese | English

    6001

  • acaicomdados/analise-barragens

    Código feito nos encontros aos sábado em que está fazendo análise

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  • euporie

    rulanugrh/euporie

    Accumulation Data Indonesian Inflation 2020 - 2024

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  • ztqsteve/Yelp-Data-Challenge

    Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.

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  • Syrian-Open-Source/python-oak-leaf-drawer

    Python package makes you able to draw OAK Leaf depending on an angle.

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  • dalfinha/gerenciando-arquivos-com-python-powershell

    Filtre os arquivos que você não utiliza mais via PowerShell e receba um gráfico customizado com essas informações :)

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  • eleanormadderra/Spotify_DataScience_Analysis

    Created multiple models to analyze a Spotify dataset and predict playlist genre. Dataset download from Kaggle (https://www.kaggle.com/datasets/joebeachcapital/30000-spotify-songs).

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  • franwatafaka/intro_matplotlib_python

    Material de clase y ejercicios acerca de Matplotlib

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  • IntroToDataWrangling

    sethbr11/IntroToDataWrangling

    A brief course intended to introduce non-programmers to python and data wrangling. Also, demonstration of network optimization, pdf creation in Python, and a simple Monte Carlo simulation.

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  • aryapashaa/Portfolio_DataAnalytics

    This repository is containing portfolio of data analyst and data science projects for academic & self learning.

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  • ashok-bidani/World-Cities-Weather

    Analysis of patterns in global weather data taken from 500 cities using the Python Citipy package, Matplotlib, and Open Weather Map API

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  • fine-code/tensorflow

    Finding relationships between words

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  • jitendramadhawani/Loksabha_Election_Results_2024-Analysis

    Based on the insights and analysis performed on the Lok Sabha election results of 2024 using the provided CSV file and Python's Pandas library, we can derive several meaningful and significant points which provides a detailed understanding of the election results.

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  • muederotter/betterstar

    Implement Matlab-like stars into your matplotlib python plots.

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  • RussCob/SQLAIchemy-Project

    Using Python and SQLAlchemy to do basic climate analysis and data exploration of our climate database. Then after initial analysis, designing a Flask API based on the queries that we just developed.

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  • WMF07/CoffeeHouse

    Exploratory Data Analysis of A Coffee House Survey

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  • WMF07/GroceryDataAnalysis

    Exploratory Data Analysis

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  • WMF07/MusicTherapy

    Analyzing data from a survey to find correlations in music and how it effects mental health.

    Language:Jupyter Notebook0100

  • pashaapsky/generators-spectrograms

    Построение спектрограмм для генераторов шума с помощью PyQt5 и matplotlib

    Language:Python10

  • ppizarror/01-tarea-computagrafica

    Tarea de computa gráfica, 2015-1

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  • RampageousRJ/Flight-Management

    Python code designed for users to access and visualize flight schedules and personal data.

    Language:Python10

  • SphericalSilver/Investigating-and-visualizing-earnings-employability-and-gender-differences-in-Uni-Majors

    Employment Rates and mean salaries associated with various college majors in US Universities were analyzed to understand the relationship between those factors and each major. Additionally, some secondary analysis on gender proportion changes over the year was visualized.

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