1 / 6

Python Lab Matplotlib - I

Python Lab Matplotlib - I. Proteomics Informatics, Spring 2014 Week 9 25 th Mar, 2014 Himanshu.Grover@nyumc.org. From last w eek…. Matplotlib. 2D plotting library (some 3D support) Full- featured Great performance even with large amount of data

harper
Download Presentation

Python Lab Matplotlib - I

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Python LabMatplotlib - I Proteomics Informatics, Spring 2014 Week 9 25th Mar, 2014 Himanshu.Grover@nyumc.org

  2. From last week…

  3. Matplotlib • 2D plotting library (some 3D support) • Full-featured • Great performance even with large amount of data • Very easy to make simple plots, even with default properties • But gives complete and extensive control of every teeny element on your plot • Lots of graphical and text properties • Popular Operational Modes • Interactive work using pylab/pyplot • Using the object-oriented API from a script

  4. Interactive mode: Pyplot • Command-style functions (like R/Matlab) • Each function will make some change to the figure: • Create a figure • Create a plotting area • Throw in some lines and labels • Decorate the plot more with annotations etc. • Hands on…

  5. Next Class • More examples from Pandas and Matplotlib: • Data manipulation • Other types of plots and their properties (scatter, histograms, boxplots etc) • Multiple figures, multiple plots within a figure • Interactive vs. batch plotting; saving figures • Any examples from your research?

  6. References • Matplotlib User Guide and online documentation • Great resource!! • Several examples in gallery, with plot output and working python code. • http://matplotlib.org/contents.html • http://matplotlib.org/index.html

More Related