Software Alternatives & Reviews

Matplotlib Reviews

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Social recommendations and mentions

We have tracked the following product recommendations or mentions on Reddit and HackerNews. They can help you see what people think about Matplotlib and what they use it for.
  • How can I generate smart looking scientific figures and illustrations?
    Not sure what the authors used, but such figures can be generated using Matplotlib. - Source: Reddit / 17 days ago
  • Pandas Free Online Tutorial In Python — Learn Pandas Basics In 5 Lessons!
    This part will teach you how to make various sorts of visualisations with Pandas and other popular libraries like Matplotlib and Seaborn. You will learn how to make line plots, scatter plots, bar plots, and other types of plots. - Source: Reddit / 24 days ago
  • 10 Coding Projects to Impress Employers and Land Your Dream Job 😎
    Matplotlib - a popular Python library for creating static, animated, and interactive visualizations. - Source: / about 1 month ago
  • Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
    This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: / about 1 month ago
  • Drawing graphs and diagrams
    Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)? - Source: Reddit / about 1 month ago
  • Analysing AWS VPC Flow logs with Python and Pandas
    I've had some experience doing simple data analysis in Python before, specifically with Pandas, Matplotlib, Numpy, and other popular data science libraries, so it made sense that I leverage those skills rather than trying to learn something like AWS Athena. - Source: / about 1 month ago
  • How to query pandas DataFrames with SQL
    Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: / about 2 months ago
  • Best tools for good looking tables and piecharts
    Could this be of use? Not used it myself though. Https:// - Source: Reddit / 2 months ago
  • [OC] Flossing was one of my New Year's resolutions for 2022
    Made the heatmap with seaborn, a Python data visualization library based on matplotlib. - Source: Reddit / 2 months ago
  • Are specific softwares avialable that are suitable for converting different diagrams, graphs and mindmaps to latex codes?
    There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, ...) exported as an illustration in the usual formats (.pdf/.png), or... - Source: Reddit / 2 months ago
  • How to use the Azure SDK for Python to retrieve a list of Azure Resources
    # Title URL 1 Use the Azure libraries (SDK) for Python Https:// 2 Pandas.DataFrame Https:// 3 Matplotlib: Visualization with Python Https:// - Source: / 3 months ago
  • Line financial chart
    Why do you want to let this be done by LaTeX? I mean, yes, it is a Turing complete language; on the other hand, why not rely on conditional plot as offered e.g., by Python's matplotlib? - Source: Reddit / 4 months ago
  • Linear Regression
    Let's take a small subset i.e 20 data points of our prediction and compare it with actual output using matplotlib library. - Source: / 4 months ago
  • Where to find a dynamic charge density animation/simulation?
    I will think more about what I want to say next, but for now, I would like to say that I need the super-particles and PIC methods as I think that is the way forward for me. Are there ways to implement these methods in matplotlib, Visit or Paraview? Do I take existing code and import it into those programs to visualize it? Or can I directly program/simulate something in those visualizion tools without needing to... - Source: Reddit / 4 months ago
  • Where to find a dynamic charge density animation/simulation?
    Your choices are an n-body simulation (e.g., LAMMPS) with Coulomb interactions or, if your electrons are sufficiently sparse, a particle-in-cell (e.g., Starfish). Your best bets for visualization are going to be matplotlib or something more user-friendly like Visit or Paraview. Without a neutralizing background, however, your electrons are just going to repel each other, hit the walls, and disappear - there's not... - Source: Reddit / 4 months ago
  • How to model the hanging chain PDE using numerical methods in Python?
    There are plenty of data visualization tools in python, but probably the easiest to get started with is Matplotlib. - Source: Reddit / 4 months ago
  • Best way to learn ML/AI hands-on as a developer?
    An example of how I would do this is to just plot your data on a line graph ( . Are there any repeating trends? Next try splitting your data into day of the week, day of the month, months, etc. Look for any kind of seasonality (we're trying to use the past to predict the future, so if the future is not like the past our models will fail). - Source: Reddit / 4 months ago
  • Command-line data analytics made easy with SPyQL
    Let's also install MatplotCLI, a utility for creating plots from the command-line that leverages Matplotlib:. - Source: / 5 months ago
  • Matplotlib - Visualization with Python
    Matplotlib allows you to create reproducible figures programmatically. Let’s learn how to use it! Before continuing this lecture, I encourage you just to explore the official Matplotlib web page: - Source: / 5 months ago
  • In One Minute : Pandas
    Simple Matplotlib integration for plotting and graphing. - Source: / 5 months ago
  • Data Science: Better graph with matplotlib and python
    Enough talking let get to the spicy stuff 😁😁. We will be using python for plotting graphs, all of the above graphs are created with python and matplotlib. - Source: / 5 months ago

External sources with reviews and comparisons of Matplotlib

15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.

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