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Matplotlib

414
269
+ 1
9
R Language

2.4K
1.7K
+ 1
393
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Matplotlib vs R: What are the differences?

Developers describe Matplotlib as "A plotting library for the Python programming language". 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. On the other hand, R is detailed as "A language and environment for statistical computing and graphics". R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

Matplotlib and R are primarily classified as "Charting Libraries" and "Languages" tools respectively.

Instacart, Zalando, and Thumbtack are some of the popular companies that use R, whereas Matplotlib is used by Opportunity Network, King's Digital Lab, and Quezx.com. R has a broader approval, being mentioned in 188 company stacks & 630 developers stacks; compared to Matplotlib, which is listed in 10 company stacks and 19 developer stacks.

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Pros of Matplotlib
Pros of R Language
  • 9
    The standard Swiss Army Knife of plotting
  • 81
    Data analysis
  • 60
    Graphics and data visualization
  • 52
    Free
  • 43
    Great community
  • 37
    Flexible statistical analysis toolkit
  • 26
    Access to powerful, cutting-edge analytics
  • 25
    Easy packages setup
  • 18
    Interactive
  • 12
    R Studio IDE
  • 9
    Hacky
  • 7
    Shiny apps
  • 6
    Shiny interactive plots
  • 5
    Preferred Medium
  • 5
    Automated data reports
  • 4
    Cutting-edge machine learning straight from researchers
  • 2
    Machine Learning
  • 1
    Graphical visualization

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Cons of Matplotlib
Cons of R Language
  • 5
    Lots of code
  • 5
    Very messy syntax
  • 4
    Tables must fit in RAM
  • 2
    Arrays indices start with 1
  • 2
    No push command for vectors/lists
  • 2
    Messy syntax for string concatenation
  • 1
    Messy character encoding
  • 0
    Poor syntax for classes
  • 0
    Messy syntax for array/vector combination

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What is Matplotlib?

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.

What is R Language?

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

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Jobs that mention Matplotlib and R Language as a desired skillset
What companies use Matplotlib?
What companies use R Language?
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What tools integrate with Matplotlib?
What tools integrate with R Language?

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Blog Posts

Aug 28 2019 at 3:10AM

Segment

PythonJavaAmazon S3+16
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GitHubGitDocker+34
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What are some alternatives to Matplotlib and R Language?
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
MATLAB
Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
Bokeh
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.
Plotly.js
It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.
ggplot2
It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.
See all alternatives