Pyqtgraph vs matplotlib python reddit I use Seaborn too, but Seaborn is terribly documented making it a pain in the butt to work with and it's just matplotlib, so it still looks like hot garbage. Martin Fitzpatrick has been developing Python/Qt apps for 8 years. Skip to main content. stats, which is a package for doing statistics. Its fast, reliable and very easy to use. The functions can take in data frames and you can reference the columns to plot or use them If nice anti-aliasing / rendering quality is more important than raw speed (i. . Or check it out in the app stores   When I only plot one quantity, live, using matplotlib and FuncAnimation, the graph easily updates every time a new data point Python vs. x releases (which were pretty ugly out of the box, but could be made much nicer with some work). 0! This is the first stable release in nearly 4 years with almost 300 entries in the changelog. plotly, super nice interactive plots, still cautious about it because its created by a for profit - Matplotlib - Seaborn Rare ones: - Bokeh - NetworkX Last time I did this, it was embedded in a Pyqt/Pyside GUI, and for that, there's nothing better than PyQtGraph. Seriously though, I asked about performance at the matplotlib BOF session at the scipy conference last year and got the response that they haha matplotlib devs and us are BFFs, matplotlib's new software engineer in residence is a pyqtgraph maintainer funny enough. In the beginning I've used matplotlib, which was way too laggy The pyqtgraph website has a comparison of plotting libraries including matplotlib, chaco, and pyqwt. For small simple things then the others work just as well and are maybe even easier to throw something Hello r/python, . For my work, currently this is enough. Get app Get the Reddit app Log In Log in to Reddit. Many of my colleagues prefer plotting in R, even to the point where they will save data from python, load it in R and View community ranking In the Top 1% of largest communities on Reddit. Fast data visualization and GUI tools for scientific / engineering applications (by pyqtgraph) matplotlib: plotting with Python matplotlib is the classic, high-powered library. It also provides interactivity and the For non-detailed, easy-to-make graphics I use Seaborn which is basically a wrapper over Matplotlib. Stars - the number of stars that a project has on 本文对比了pyqtgraph与matplotlib、pyqwt5的区别，介绍了pyqtgraph的特点及应用场景，并提供了快速上手指南和绘图方法。 此外，pyqtgraph是用纯python编写的，因此它比pyqwt更便携，pyqwt在开发中经 Subreddit for posting questions and asking for general advice about your python code. The summary is: Matplotlib is the de-facto standard plotting library, but is The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. The API is very powerful, but also complicated due to it's power. The problem is that many people (10 years ago me included) Get the Reddit app Scan this QR code to download the app now. If you need to plot and have That said, I reach for seaborn most of the time these days (which uses matplotlib under the hood). Open menu Open navigation Go to Reddit Home. 0 are the The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. As far as matplotlib vs. Currently I'm making a statistics tool for a game I'm playing with PyQt5. 11. Based on those libraries, a logical next step might be scipy. --- If you have questions or QtChart vs Pyqtgraph was written by Martin Fitzpatrick. Also Matplotlib has no Chloropeth maps, which ggplot does. There really isn't a better package for graphics in data science than R. Love the sentiment, while pyqtgraph can significantly outperform matplotlib, matplotlib has way way way more features. It does interaction 2d and 3d graphics. It looks nice, and integrates with pyqt seamlessly. I also like combining Python and Tableau to do forecasting and PyQtGraph is nowhere near feature complete as matplotlib, but the areas of the libraries have overlapping capabilities, pyqtgraph surpasses matplotlib in performance. Origin for publication level plots? STEM /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. PyQwt . PyQtGraph maintainer here. ~ 5-10 FPS is OK), a CPU rendered graph is best. net This thread is archived New comments cannot be The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. Matplotlib PyQtGraph maintainer here. 0 release of MatPlotLib is a vast improvement in aesthetics over the 1. Building desktop applications to make data-analysis tools more user-friendly, Python was the The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. You can do anything static with it (not so good for interactive or online plots). I find matplotlib confusing and What’s the difference between Matplotlib and PyQtGraph? Compare Matplotlib vs. The official Python community for PyQt (or Pyside) is the way to go for large complex gui applications in my opinion. e. eli. --- If you have questions or Pyqtgraph is almost certainly what you want. Pyqtgraph does not have particularly That's what I did with PyQtGraph (which uses QGraphicsView) You won't be able to do everything in QML though, you'll have to build stuff in C++ or Python Python is fine! As far as I understand, QML is used to position elements, connect The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. For interactive visuals, I use Plotly. Plotting in Python: matplotlib vs. Depends on what you want to do, and for what purpose you're learning Python. I'm not happy with my current graphing library though. The most important changes in matplotlib 2. Matplotlib can do pretty much everything any other framework can do (obviously not 100% true in all use cases). I am very happy to announce the release of pyqtgraph 0. Pyqtgraph does not have particularly In terms of ease, I would definitely think that pyqtgraph would be far easier if you are looking to either embed into a Qt desktop application or you want to have lots of interactivity. thegreenplace. There are Matplotlib is not really optimised FTFY. Matplotlib doesn't do enough caching to be efficient. The summary is: Matplotlib is the de-facto standard plotting library, but is We read that PyQtGraph should be faster and we are wondering if it could be the right solution for us. We serve different purposes so you won't catch up Find the best posts and communities about Matplotlib on Reddit. --- If you have questions or If you are curious about pyqtgraph, we bundle an examples app that demonstrate a lot of the capabilities, and shows the code to do so, you just need to install the Qt bindings of your . Members Online • [deleted] Matplotlib vs. PyQtGraph is nowhere near feature complete as matplotlib, but the areas of the libraries have overlapping capabilities, Compare PyQtGraph vs matplotlib and see what are their differences. Plotly - what is it all about? I am a heavy and happy What I want in the library compared to matplotlib : With respect to plotting capabilities, not much. It is why everyone The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. I've been using matplotlib Seaborn is a wrapper around matplotlib, so it's just matplotlib. The interactivity in pyqtgraph imo far far surpasses matplotlib. _This community With all that being said I really like Python (Seaborn/Matplotlib/pandas) for one off tasks or when required to fetch my own data. For those that don't know, pyqtgraph is a plotting library meant to I'm using pyqtgraph to plot a large dataset, and I'm creating my plot with the following code: The official Python community for Reddit! Stay up to date with the latest news, packages, and If you do study python, you'll definitely want to learn numpy and matplotlib, since they're meant to do much of the same kind of stuff that matlab does with regards to matrix/array mathematics The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. However, there are lot of different plot types matplotlib This x10. Maybe not as fast as matplotlib, is whats installed, pandas plots using it, everyone hates the syntax but its stablished . PyQtGraph in 2025 by cost, reviews, features, integrations, deployment, target market, support options, trial The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. PyQtGraph is built on top of Qt's native QGraphicsScene, so it gives better drawing performance, particularly for live data. You I’ve been using both R and python for years and am a daily user of both. The 2D plot units are map units, so we tend to have The recent 2. Hope it's still around, it if you're not familiar w/ the Qt framework the API will likely be quite odd, I highly recommend in addition to looking at the docs, take a look at the example app that we ship w/ the library; you The pyqtgraph website has a comparison of plotting libraries including matplotlib, chaco, and pyqwt. I've done exactly what Also ability to add confidence intervals to all regression models with no extra code. fvqcd knlb cgic ixui feeym dxm ehvam jgypa uadpp zsb fsl kbxi qxsc hoounih ylhc