GitHub topics: matplotlib-figures

Repositories

skortmann/RWTHPlots

Adding standard themes with RWTH Aachen University colours to matplotlib

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omid-reza/EngineeringMathematicsFinalProject 📦

Engineering Mathematics Final project

Language: Python - Size: 2.25 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Jonny-T87/Oil_Gas_Utility

A visual representation of a dataset representing natural gas transmission hubs in the contiguous United States.

Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

shrawantee/Matplotlib-Pymaceuticals

Language: Jupyter Notebook - Size: 522 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 0

11808s8/python-neural-network

A simple neural network with backpropagation used to recognize ASCII coded characters

Language: Python - Size: 6.12 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 0

stephentaul22/Visualizing-the-World-Happiness-Reports-by-Region

Applying data visualization techniques; organizing, cleaning, and aggregating data from multiple sources; I determine how much happiness has changed over time in all regions of the world

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victorchendra02/Students-Performance-in-Exams

Dataset by Aman Chauhan from kaggle.com

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saumyajeet1822/PyplotPython

Pyplot provide methods that can be used to add different components to figure objects, including creating the individual plots as axis objects, also known as subplots.

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isidharthrai/Regression-and-Technical-Analysis-of-Stock-Market

The Project is related to Regression and Technical Analysis of Stock Market, The link to project report:

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DavidCico/Study-of-a-buy-and-hold-investment

In this repository, a buy-and-hold investment is studied using Python and a Monte Carlo approach.

Language: Python - Size: 4.88 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 2

ZaikoXander/Intensivao-Python

Meu treinamento do Intensivão de Python

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In this study, 249 mice identified with SCC tumor growth were treated through a variety of drug regimens. Over the course of 45 days, tumor development was observed and measured. The purpose of this study was to compare the performance of Pymaceuticals' drug of interest, Capomulin, with the other treatment regimens. You have been tasked by the senior scientist team to generate an initial drug regimen comparison and a summary of your findings.

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lazarusA/CodeSnippets

Small pieces of code

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Elliott-dev/PROJECT-Investigating-Netflix-Movies-and-Guest-Stars-in-The-Office

Netflix Pandas Project (Investigation of Netflix Movies and Guest Stars in the Office)

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Ordinana/Crear-Figuras-Abiertas-y-Cerradas

Es un programa sencillo donde se podrán crear las figuras más comunes, tanto abiertas como cerradas, utilizando herencia de clases y módulos como matplotlib, numpy, abc y otros.

Language: Python - Size: 4.88 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Elliott-dev/Top-1000-IMDB-Rated-Movies-Analysis

Group Project: Top 1000 Movies by IMDB Rating Exploratory Data Analysis

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Elliott-dev/Pymaceuticals-Continued-Making-Matplotlib-Magic

It has been a few days since you sent your boxplot to the senior scientist at Pymaceuticals and today they finally got back to you with feedback. They said your inital For this, I will leverage the same drug regimen data from last class and utilize subplots to create an advanced visualization that is packed with insightful information!

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Elliott-dev/Maplotlib-Pymaceuticals-Inc.

Provided summary statistics table for the dataset’s measures of central tendency including variance, standard deviation, and SEM of the tumor volume for each drug regimen. Generated plots that show the number of total mice for each treatment regimen throughout the course of the study and the distribution of female or male mice. Calculated the final tumor volume of each mouse across four of the most promising treatment regimens: Capomulin, Ramicane, Infubinol, and Ceftamin. Generated a box and whisker plot of the final tumor volume for all four treatment regimens and highlighted any potential outliers. Selected a mouse that was treated with Capomulin and generated a line plot of tumor volume vs. time point for that mouse. Generated a scatter plot of mouse weight versus average tumor volume for the Capomulin treatment regimen. Calculated the correlation coefficient and linear regression model between mouse weight and average tumor volume for the Capomulin treatment. Put together all of the tables and figures needed for the technical report and provided top-level summary of the study results.

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Elliott-dev/Pymaceutical_ANOVA_Tukey

For this Project, I first applied an analysis of variance (ANOVA) model to the Pymaceutical dataset and then did a post-hoc analysis of the results by using Tukey Honest Significant Difference (HSD) to determine which drug treatments in the dataset significantly reduce tumor volume and metastasis. I then wrote a summary of my findings.

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juniors90/Flask-Plots

Flask-Plots is a library for creating and rendering static visualizations using Matplotlib in Python.

Language: Python - Size: 104 KB - Last synced at: 21 days ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

an-white/Projects_Examples

These are an examples of my work in python if you want to work with me tell me

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shreybatra/Variable-Delivery-Cost-Finder

Variable Delivery Cost Finder for any e-commerce based on various parameters

Language: Python - Size: 85 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 3

krishnakaushik25/Streamlit-Crypto-webapp

StreamLit Web APP for cryptocurrency prices

Language: Python - Size: 146 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

prakHr/pyAlgebra-v

[PyPi Package] - performs integral and differentiable operations on string expressions using sympy

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1King-coder/python-matplotlib-jupyter-notebook

This repository is a study of mine. Here I will study matplotlib with jupyter, completing my math studies.

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lilisbeit/Subplots-in-Matplotlib

Code supporting blog post, An Introduction to Subplots in Matplotlib

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sachicorrea/7thChallengeMintic_StockProducts

A challenge to demonstrate skills related to get and process data for their analysis. Data-frames, filters, basic descriptive statistical analysis and charts are part of this repository

Language: Python - Size: 419 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Promeos/Visualization_Exercises

Exercises to develop Numpy, Pandas, and visualization skills for Data Science.

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SwaroopKhot/Control-Computer-with-Hand-Gestures-using-Arduino-and-Python

Arduino | Python | Matplotlib | Real-Time-plot | watch video: https://youtu.be/vsz1de6-kVA

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RohitMidha23/Neural-Network-Decision-Boundary

Language: Python - Size: 240 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 10 - Forks: 3

markbirds/Matplotlib-Notes

My notes in Matplotlib

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ilyanesteroff/2d_transformer

The web app where you can generate some 2D-transformation plots, by scaling, rotating and moving object😅

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yuliyavolkova99/PY_project_3sem

🎨SameColourPic - программа по поиску схожих изображений на основе цветовой палитры

Language: Python - Size: 1.64 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 2

Mahapeth/PY_project_3sem Fork of yuliyavolkova99/PY_project_3sem

🎨SameColourPic - программа по поиску схожих изображений на основе цветовой палитры

Language: Python - Size: 14 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

IntelligentSolution-Dz/University-of-Liverpool-ion-switching

Data exploration using data visualization tools ana signal processing to Identify the number of channels open at each time point.

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roguexray007/Matplotlib-and-Seaborn-Tutorial

tutorials for easy understanding of matplotlib and seaborn commands for graph plotting

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foo-bar-omastar/matplotlib-and-colormaps

Practice exercises for using Matplotlib and Creating Colormaps

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PiusLucky/matplotlib-practice-file-

A Jupyter notebook file to aid my tutorial "MATPLOTLIB TUTORIAL : BECOMING A MATPLOTLIB NINJA" in https://joint-access-programmer.com/matplotlib-tutorial-becoming-matplotlib-ninja-1/

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sermonzagoto/Data_Cleansing_in_Telco

Data Cleansing in Python

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juliachong/Data-Atsume

🐱Data Analysis of the iOS app, Neko Atsume

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TheNudibranch/Optimize_stat_learning

Statistical learning models built from the ground up!

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birozsolt/NumberPlotting

Language: Python - Size: 4.14 MB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

shrawantee/Vader-Sentiment-Analysis-Social-Analytics

Language: Jupyter Notebook - Size: 418 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

marcuscaisey/WhatStats

Program which allows you to generate various charts based on various statistics gathered from WhatApp chat logs.

Language: Python - Size: 35.2 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

AashitaK/Plotting-Record-Temperatures

Plotting temperatures in the New Orleans area for the period 2005-2015 using matplotlib

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tdesfont/TensorFlow-DQN-CatMouseGame

Master MVA, ENS Cachan, France: Reinforcement Learning. Project implementation of Deep Reinforcement Learning in TensorFlow to plug in a cat and mouse game. (Python, TensorFlow)

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nazaninsbr/Matplotlib-Examples

learning to work with Matplotlib (mostly based on the Documentation and Examples of the website itself)

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manashpratim/NIPS-Analysis

Exploratory Data Analysis of Conference on Neural Information Processing Systems (1987-2017)

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babinyurii/UFO-dataset-visualization

data visualization drill using a weird dataset from kaggle.com

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boringtutor/makeGifFromGymOpenAi

This is the example to create the gif from the gym openai

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Xhiffer/Lama-projet-l2

this program use a list of fictional student grades and creat graph out of them with matplotlib all converted to one pdf named after eatch student respectively.

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Dkreitzer/Random_500-City_Weather_Analysis

Generate random coordinates, find closest cities, pull recent weather data, and visualize with matplotlib

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Dkreitzer/JupyterNotebook_Dashboard

Very first website ever created using images from Dkreitzer/Random_500-City_Weather_Analysis

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Dkreitzer/ClimateAnalysis_Flask_App

Climate Analysis of Hawaii Temperature and Precipitation. Exploration in Jupyter Notebook, and a Flask-API.

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Dkreitzer/News_Media_Sentiment_Analysis

Vader Sentiment Analysis of 5 News Media tweets

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Dkreitzer/The_Power_Of_Plots__Pyber_Analysis

Use matplotlib and Jupyter Notebook to visualize data contained in 2 csv files

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vshantam/QR-Code-Generator

This application will create the QR code for the required textual content or url links using python

Language: Python - Size: 104 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

shrawantee/Project-Analysis-of-Violent-Crime-in-LA

Geomapping

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Shuyib/mouse_gut_OTU

Vectorization and Unsupervised Learning of Mouse Operation Taxonomic Units to determine which species of bacteria form distinct groups in a dataset.

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Chilipp/psyplot-conda

⛔️ Conda Installers for psyplot

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malvika/matplotlib-challenge

Using python, matplotlib, seaborn library in jupyter notebook to analyze data and create visualizations

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deepandas11/tempvis_timeseries

Data Visualization Assignment

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mattkearns/scientific-computing-libraries

This repository contains tutorial exercises for the following scientific computing libraries: NumPy, SciPy, Matplotlib, and Pandas. These exercises were completed using Jupyter notebooks for exhibitionary purposes.

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isidharthrai/Python---Data-Science

These Notebooks Illustrate Python with Data Science in an elaborated way.

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gautamworah96/Delloite-AnalyticsChallengePy

Contains all the scripts used to analyze the csv file and derive insights.

Language: Python - Size: 9.94 MB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

pranshudiwan/Titanic-survival-prediction-using-Machine-Learning-IPython-Notebooks-

I have tried to predict the survival of passengers on the Titanic using various techniques and machine learning algorithms. This is currently a on-going competition on Kaggle and I have got a best score of 0.83253 (top 2%) out of 11262 teams. I will be making modifications to improve the score.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1