seaborn builds on top of matplotlib, including more aesthetic graphs and plots. Īlthough matplotlib can make a whole host of graphs and plots, what it lacks is simplicity. It can work well with other Python data science libraries, pandas and numpy. The library is a very powerful visualization tool with all kinds of functionality built-in. The library matplotlib is adapted from MATLAB, it has similar features and styles. The most popular libraries are matplotlib and seaborn. There are plenty of libraries that can be used for plotting and visualizations. Data visualization in Python:– Python is renowned for its extensive number of libraries.It is for this reason that R and Python both are on par with each other in this department. It is, however, worth noting that python includes a ggplot library, based on similar functionality as the original ggplot2 in R. The library allows the plotting of summary functions. These layers allow one to create sophisticated plots with very few lines of code. Layers are often interconnected with each other and can share many common features. The library uses a grammar of graphics philosophy, with layers used to draw objects on plots. Data visualization in R:- There are many libraries that could be used for data visualization in R but ggplot2 is the clear winner in terms of usage and popularity.svg and then using a vector graphics editor (Adobe Illustrator or Inkscape) to tailor your graph to exactly what you want. If you're going to use Python, I'd recommend installing Anaconda as it manages a lot of relevant packages and generally makes everything easier.Įdit: A lot of people are talking about making graphs/charts: I'd highly advise learning how to export to. If you're just doing data analysis for yourself, Matlab is fine and you shouldn't have too big a learning curve transitioning to python/numpy/matplotlib. I'd say that if you want to publish your code, it can be useful to do it in Python, as it's more freely avaliable. Matlab is a little bit better for graphically-driven exploratory data analysis (I use the peak-fit tool and plotting functions for some quick stuff) and is a bit easier to get up and running with some specialized stuff (machine learning). Python is better for general purpose stuff (I had to write a program that automated clicks on my computer to manually extract data from an out-of-data program that would have taken me weeks without python). You can do everything in one that you can do in another. Another programmer in my lab uses almost exclusively Matlab. I use python almost exclusively but I understand the power of Matlab. I'm with u/Chemist8751 in that your teacher is overestimating the importance of all of those things, especially with regards to organic chemistry (physical, computational, and analytical chemists are more in need of those tools/skills). Post memes/jokes in /r/chemistrymemes and /r/chemistryjokes. Any such posts will be deleted.Īsk education and jobs questions in the current weekly topic. If you're looking for a more concentrated, advanced discussion of chemistry topics among professionals and grad students, check out /r/Chempros.īefore asking "What chemical is this?" see this chart. Click here for the OSHA chemical data site and here for a multicompany MSDS aggregate search. If you spill/injure yourself contact medical professionals and read the MSDS, do not post to this reddit. Yes links to blogs, images, videos, comics, and infographics are okay especially if they are on your personal website. No physorg, sciencedaily, or other press release aggregator spam! If a caption or explanation is included this helps, but please use your discretion.īefore asking about chemical drawing/illustration programs, look at your school's IT/software website and see if they provide an institutional license of ChemDraw (hint: if they have a chemistry department, they will) Likewise, simple pictures of uninteresting and garden variety chemistry-related things are not appreciated. No memes, rage comics, image macros, reaction gifs, or other "zero-content" material. However, academic discussions on pharmaceutical chemistry and the science of explosives are permitted. Rules: Violating a rule will result in a ban.Īsk homework, exam, lab, and other undergraduate-level questions at ChemicalForums otherwise it will be deleted.ĭiscussions on illicit drug synthesis, bomb making, and other illegal activities are not allowed and will lead to a ban.
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