What was the slow bit? First, lets analyse what Matplotlib is good at. You mention that Matlab figures, axes, and plots have manipulateable handles. It specializes in statistics visualization and is used if one has to summarize data in visualizations and also show the distribution in the data. While I would hate to have to go to back to working on a large project in Matlab, I have to say you're likely going to be disappointed with Matplotlib. You mention that Matlab figures, axes, and plots have manipulateable handles. You can plot some simple 3D line/scatter plots or basic surfaces, but anything remotely involved will screech to a halt. They are fantastic. Numpy/Scipy are quite nice, and make creating any tools that need a bit of real programming (i.e. When run from the command line, simulations for combinations of gains that caused the system to career away did indeed career away, they just continued to do so for the full length of time specified in the function call. I wouldn't praise matlab for its plotting tools. I think Python will get an increasing market share here because it's free and easy to use and lets you do things that are clunky in MATLAB like parsing log files (in the past I have used C or Perl to munge things into a format MATLAB will like tho' it is possible in m-files). There is no discussion whatsoever: Matplotlib is WAY more capable and flexible than Matlab plotting. So easy to use, really nice plotting capabilities and it is extremely convenient using a real and interactive programming language, especially when that language is Python. It is software featuring a high-level programming language, primarily intended for numerical computations. After reading stuff in this thread, pretty sure I will attempt a full transition to Python and matplotlib this semester. Constrained, simple and declarative to allow focus on the data rather than trivial issues such as formatting. Matplotlib has been the go-to visualisation library for anyone starting out in Python, but is it the best? That style sheet explanation is really interesting; looks like customizing plot formats is quite different then. Finally, it looks like your defense of this awful weakness on the part of Matlab is, ironically, a result of your commitment to the platform rather than a reasoned response to the case outlined. I port matlab code over to python pretty frequently. It uses fewer syntax and has easily interesting default themes. In Sage (http://sagemath.org), which is built on Python, we do some very minimal preparsing of input, so that 1/3 is the exact rational number 1/3 (instead of Python's stupid 1/3 == 0). Have any of you tried both? I would consider Matlab to be a DSL grown out of control. Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB. What is Matplotlib? I talked to a classmate who was using Java, and not having any speed problems at all. From what I have gathered it is an awesome tool though and there are huge amounts of Matlab-code out there. Doing anything more complicated than the common things everyone expects you to do will get really hairy really fast. Almost all of these libraries also have python wrappers. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. Integrating Fortran / C / C++ code is extremely easy as well, things like Cython / Pyrex also ease that quite a bit as well. Check it out. I had the same problem with python when I decided to develop a face detection software by useing Neural Networks ! I was having trouble getting everything to finish in time to hand in my homework by the deadline. Related to above, 3D plots are effectively useless. However, when the data gets very complex, more lines of code will be required from trivial issues such as formatting. But your example highlights your frustration with the task more than any particular weakness of Matlab. (For example from skimage import morphology.) We are hiring exceptional Python Engineers and Data Science Evangelists

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