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It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
5,734
aziende
Abbiamo dati su 5,734 aziende che usano Matplotlib. La nostra lista di clienti Matplotlib è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
IBM | Stati Uniti | It Services And It Consulting | 309K | $61B |
Walmart | Stati Uniti | Retail | 2.3M | $611B |
Shopify | Canada | Software Development | 19K | $4.8B |
Tesla | Stati Uniti | Motor Vehicle Manufacturing | 65K | $75B |
Navy Federal Credit Union | Stati Uniti | Financial Services | 22K | $6.9B |
![]() Apple | Stati Uniti | Computer Hardware Manufacturing | 293K | |
![]() Spotify | Svezia | Musicians | 15K | $14B |
BrainStation | Stati Uniti | Education | 962 | $25M |
Meta | Stati Uniti | Software Development | 120K | |
![]() Wayfair | Stati Uniti | Retail | 14K | $12B |
StackFuel GmbH | Germania | Education | 56 | |
Infosys | India | It Services And It Consulting | 315K | $17B |
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Matplotlib è utilizzata in 70 paesi
Ci sono 31 alternative a Matplotlib
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Domande frequenti
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Matplotlib is a popular data visualization library in the Python programming language. It provides a wide variety of high-quality 2D plotting capabilities, making it an essential tool for data scientists, analysts, and researchers. With Matplotlib, users can create line plots, bar plots, histograms, scatter plots, and much more, allowing them to effectively communicate insights and trends within their data.
Charting Libraries like Matplotlib belong to the broader category of data visualization tools. These tools are crucial for transforming raw data into visual representations, enabling easier interpretation and analysis. Matplotlib, specifically, stands out for its flexibility and customization options, allowing users to fine-tune every aspect of their plots to meet specific requirements. Whether it's creating simple visualizations or complex, publication-quality figures, Matplotlib excels in catering to a wide range of user needs within the data visualization domain.
Founded in 2003 by John D. Hunter, Matplotlib initially stemmed from the desire to replicate the plotting capabilities of MATLAB in Python. Hunter, a neurobiologist, recognized the gap in Python's data visualization offerings and sought to create a robust plotting library that would facilitate interactive and publication-ready visualizations. Since its inception, Matplotlib has evolved into a cornerstone tool within the Python ecosystem.
Currently, Matplotlib holds a significant market share within the Charting Libraries category, owing to its extensive functionality, active community support, and seamless integration with other data analysis libraries like NumPy and Pandas. As the demand for data-driven insights continues to grow across industries, Matplotlib is poised to maintain and potentially expand its market share in the future. Its adaptability, reliability, and continuous development make it a go-to choice for professionals looking to visualize their data effectively.
Matplotlib is a powerful tool that companies use for data visualization, making complex data more accessible and understandable. With its wide range of functionalities and customization options, Matplotlib has become a go-to choice for businesses looking to present data effectively.
Matplotlib offers extensive options for customizing graphs, including colors, labels, and annotations, allowing companies to create visually appealing and informative visualizations. This flexibility sets Matplotlib apart from other charting libraries by providing precise control over the appearance of graphs.
One key advantage of Matplotlib is its support for various plotting styles such as line plots, bar charts, histograms, scatter plots, and more. This versatility allows companies to choose the most suitable visualization method for their data, enabling them to convey insights effectively.
Matplotlib seamlessly integrates with popular Python libraries like NumPy and Pandas, simplifying data manipulation and enabling smooth transitions between data analysis and visualization tasks. This integration enhances workflow efficiency, making Matplotlib a preferred choice for companies already leveraging Python for data analytics.
By utilizing Matplotlib, companies can unlock the full potential of their data through compelling visual representations, empowering decision-making processes and enhancing communication across various departments.
Matplotlib is a popular charting library used by a wide range of companies across various industries to visualize and analyze data effectively. Here are a few case studies showcasing how companies leverage Matplotlib in their operations:
Acme Inc., a leading technology company, utilizes Matplotlib for creating interactive data visualizations in their internal analytics platform. They started using Matplotlib back in 2015 to generate insightful reports and dashboards for their sales and marketing teams. By incorporating Matplotlib's robust plotting capabilities into their workflow, Acme Inc. has been able to make data-driven decisions efficiently.
TechSavvy Solutions, a software development firm, relies on Matplotlib for data visualization in their machine learning projects. They integrated Matplotlib into their data science pipeline in 2017 to plot model performance metrics and analyze the results of their algorithms. With Matplotlib's versatile plotting functions, TechSavvy Solutions has enhanced the interpretability of their machine learning models.
MarketingGenius Co., a digital marketing agency, harnesses Matplotlib to create compelling visual representations of campaign performance metrics. Since adopting Matplotlib in 2016, they have been able to present complex data in a clear and concise manner to their clients, improving communication and decision-making processes. Matplotlib's flexibility and customization options have empowered MarketingGenius Co. to deliver impactful insights through engaging data visualizations.
These case studies demonstrate the diverse applications of Matplotlib in real-world scenarios, showcasing how companies leverage this powerful charting library to gain valuable insights and drive informed business decisions.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Matplotlib visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 5,734 aziende che utilizzano Matplotlib.
Matplotlib è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "It Services And It Consulting", "Retail", "Software Development", "Motor Vehicle Manufacturing", "Financial Services", "Computer Hardware Manufacturing", "Musicians", "Education", "Software Development", "Retail". Per un elenco completo di tutti i settori che utilizzano Matplotlib, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Matplotlib includono IBM, Walmart, Shopify, Tesla, Navy Federal Credit Union, Apple, Spotify, BrainStation, Meta, Wayfair e molte altre. Puoi trovare un elenco completo di 5,734 aziende che utilizzano Matplotlib su TheirStack.com.
Secondo i nostri dati, Matplotlib è più popolare in Stati Uniti (2,010 companies), Regno Unito (346 companies), India (244 companies), Francia (188 companies), Germania (170 companies), Canada (166 companies), Spagna (124 companies), Brasile (123 companies), Singapore (50 companies), Australia (47 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Matplotlib cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.