This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
other:python:jyp_steps [2020/02/04 08:36] jypeter [Matplotlib] |
other:python:jyp_steps [2021/01/21 14:08] jypeter [Basemap] |
||
---|---|---|---|
Line 55: | Line 55: | ||
- always remember that indices start at ''0'' and that the last element of an array is at index ''-1''!\\ First learn about //indexing// and //slicing// by manipulating strings, as shown in [[#part1|Part 1]] above (try '''This document by JY is awesome!'[::-1]'' and '''This document by JY is awesome!'[slice(None, None, -1)]'') 8-) | - always remember that indices start at ''0'' and that the last element of an array is at index ''-1''!\\ First learn about //indexing// and //slicing// by manipulating strings, as shown in [[#part1|Part 1]] above (try '''This document by JY is awesome!'[::-1]'' and '''This document by JY is awesome!'[slice(None, None, -1)]'') 8-) | ||
- | - if you are a Matlab user (but the references are interesting for others as well), you can read the following: | + | - if you are a **Matlab user** (but the references are interesting for others as well), you can read the following: |
+ | - [[https://www.enthought.com/wp-content/uploads/2019/08/Enthought-MATLAB-to-Python-White-Paper-1.pdf|Migrating from MATLAB to Python]] on the [[https://www.enthought.com/software-development/|Enthought Software Development page]] | ||
- [[https://docs.scipy.org/doc/numpy-dev/user/numpy-for-matlab-users.html|Numpy for Matlab users]] | - [[https://docs.scipy.org/doc/numpy-dev/user/numpy-for-matlab-users.html|Numpy for Matlab users]] | ||
- [[http://mathesaurus.sourceforge.net/matlab-numpy.html|NumPy for MATLAB users]] (nice, but does not seem to be maintained any more) | - [[http://mathesaurus.sourceforge.net/matlab-numpy.html|NumPy for MATLAB users]] (nice, but does not seem to be maintained any more) | ||
Line 198: | Line 199: | ||
* [[https://uxknowledgebase.com/tables-other-charts-data-visualization-part-3-5bfab15ce525|Tables & Other Charts — Data Visualization Part 3]] | * [[https://uxknowledgebase.com/tables-other-charts-data-visualization-part-3-5bfab15ce525|Tables & Other Charts — Data Visualization Part 3]] | ||
* Working with colors | * Working with colors | ||
+ | * **Do not use the outdated //rainbow// colormap!** | ||
+ | * [[http://geog.uoregon.edu/datagraphics/EOS/Light-and-Bartlein.pdf|The End of the Rainbow? Color Schemes for Improved Data Graphics]] (Light and Bartlein, EOS 2004, including replies and comments) | ||
+ | * [[http://colorspace.r-forge.r-project.org/articles/endrainbow.html|Somewhere over the Rainbow]] | ||
* [[https://matplotlib.org/users/colormaps.html|Choosing colormaps]] | * [[https://matplotlib.org/users/colormaps.html|Choosing colormaps]] | ||
* [[https://matplotlib.org/cmocean/|cmocean: Beautiful colormaps for oceanography]] | * [[https://matplotlib.org/cmocean/|cmocean: Beautiful colormaps for oceanography]] | ||
* [[https://jiffyclub.github.io/palettable/|Palettable: Color palettes for Python]] | * [[https://jiffyclub.github.io/palettable/|Palettable: Color palettes for Python]] | ||
* [[http://colorbrewer2.org|ColorBrewer 2.0]] is a tool that can help you understand, and experiment with //sequential//, //diverging// and //qualitative// colormaps | * [[http://colorbrewer2.org|ColorBrewer 2.0]] is a tool that can help you understand, and experiment with //sequential//, //diverging// and //qualitative// colormaps | ||
+ | * The [[http://hclwizard.org/|hclwizard]] provides tools for manipulating and assessing colors and palettes based on the underlying ''colorspace'' software | ||
===== Basemap ===== | ===== Basemap ===== | ||
- | <note warning>Basemap is going to be slowly phased out, in favor of [[#cartopy]]\\ More information in this: | + | <note warning>Basemap is going to be slowly phased out, in favor of [[#cartopy_iris|cartopy]]\\ More information in this: |
* [[https://github.com/SciTools/cartopy/issues/920|cartopy github issue]] | * [[https://github.com/SciTools/cartopy/issues/920|cartopy github issue]] | ||
* [[https://github.com/matplotlib/basemap/issues/267|basemap github issue]] | * [[https://github.com/matplotlib/basemap/issues/267|basemap github issue]] | ||
Line 324: | Line 329: | ||
Where: [[http://www.scipy-lectures.org/_downloads/ScipyLectures-simple.pdf|pdf]] - [[http://www.scipy-lectures.org/|html]] | Where: [[http://www.scipy-lectures.org/_downloads/ScipyLectures-simple.pdf|pdf]] - [[http://www.scipy-lectures.org/|html]] | ||
- | This is **a really nice and useful document** that is regularly updated and used for the [[https://www.euroscipy.org/|EuroScipy]] tutorials. You will learn more things about python, numpy and matplotlib, debugging and optimizing scripts, and also learn about using python for statistics, image processing, machine learning, washing dishes (this is just to check if you have read this page), etc... | + | This is **a really nice and useful document** that is regularly updated and used for the [[https://www.euroscipy.org/|EuroScipy]] tutorials. |
+ | |||
+ | This document will teach you even more things about python, numpy and matplotlib, debugging and optimizing scripts, and about using python for statistics, image processing, machine learning, washing dishes (this is just to check if you have read this page), etc... | ||
+ | * Example: the [[http://www.scipy-lectures.org/packages/statistics/index.html|Statistics in Python]] tutorial that combines [[other:python:jyp_steps#pandas|Pandas]], [[http://statsmodels.sourceforge.net/|Statsmodels]] and [[http://seaborn.pydata.org/|Seaborn]] | ||
===== Quick Reference and cheat sheets ===== | ===== Quick Reference and cheat sheets ===== | ||
Line 365: | Line 373: | ||
Depending on the distribution, the editor and the programming environment you use, you may have access to a graphical version of the debugger. UV-CDAT users can use ''pydebug my_script.py'' | Depending on the distribution, the editor and the programming environment you use, you may have access to a graphical version of the debugger. UV-CDAT users can use ''pydebug my_script.py'' | ||
+ | |||
+ | ===== jupyter and notebook stuff ===== | ||
+ | |||
+ | FIXME Misc notes, resources and links to organize later | ||
+ | |||
+ | * [[https://beta.jupyterbook.org/|jupyter {book}]]: Jupyter Book is an open source project for building beautiful, publication-quality books and documents from computational material. | ||
===== Using a Python IDE ===== | ===== Using a Python IDE ===== | ||
Line 407: | Line 421: | ||
===== Python 2.7 vs Python 3 ===== | ===== Python 2.7 vs Python 3 ===== | ||
- | The official [[https://docs.python.org/2.7/howto/pyporting.html|Porting Python 2 Code to Python 3]] page gives the required information to make the transition from python 2 to python 3. It is still safe to use Python 2.7, so there is no rush to change to Python 3. | + | It is still safe to use Python 2.7, but **you should consider upgrading to Python 3**, unless some key modules you need are not compatible (yet) with Python 3 |
+ | |||
+ | You should start writing code that will, when possible, work both in Python 2 and Python 3 | ||
+ | |||
+ | Some interesting reading: | ||
+ | |||
+ | * [[https://docs.python.org/3/whatsnew/3.0.html|What’s New In Python 3.0]].\\ Examples: | ||
+ | * ''print'' is now a function. Use ''print('Hello')'' | ||
+ | * You cannot test a difference with ''<>'' any longer! Use ''!='' | ||
+ | |||
+ | * The official [[https://docs.python.org/2.7/howto/pyporting.html|Porting Python 2 Code to Python 3]] page gives the required information to make the transition from python 2 to python 3. | ||
===== What now? ===== | ===== What now? ===== |