other:python:jyp_steps
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other:python:jyp_steps [2019/03/18 13:53] jypeter [Quick Reference] |
other:python:jyp_steps [2019/05/23 13:37] jypeter [Graphics related resources] Added Top 50 matplotlib Visualizations |
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| - Read the [[http://www.labri.fr/perso/nrougier/teaching/matplotlib/|Matplotlib tutorial by Nicolas Rougier]] | - Read the [[http://www.labri.fr/perso/nrougier/teaching/matplotlib/|Matplotlib tutorial by Nicolas Rougier]] | ||
| - Download the [[http://matplotlib.org/contents.html|pdf version of the manual]]. **Do not print** the 2800+ pages of the manual! Read the beginner's guide (Chapter //FIVE// of //Part II//) and have a super quick look at the table of contents of the whole document. | - Download the [[http://matplotlib.org/contents.html|pdf version of the manual]]. **Do not print** the 2800+ pages of the manual! Read the beginner's guide (Chapter //FIVE// of //Part II//) and have a super quick look at the table of contents of the whole document. | ||
| + | |||
| + | ==== Useful reference pages ==== | ||
| + | |||
| + | * [[https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html|plot()]]: Plot y versus x as lines and/or markers | ||
| + | * [[https://matplotlib.org/api/_as_gen/matplotlib.pyplot.scatter.html|scatter()]]: A scatter plot of y vs x with varying marker size and/or color | ||
| + | * The ''plot'' function will be faster for scatterplots where markers don't vary in size or color | ||
| + | * [[https://matplotlib.org/api/_as_gen/matplotlib.lines.Line2D.html|line]] parameters | ||
| + | * ''linestyle'': ''solid'', ''None'', [[https://matplotlib.org/api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D.set_linestyle|other]] ([[https://matplotlib.org/examples/lines_bars_and_markers/line_styles_reference.html|default styles example]], [[https://matplotlib.org/examples/lines_bars_and_markers/linestyles.html|custom styles example]]) | ||
| + | * [[https://matplotlib.org/api/markers_api.html|marker types]] | ||
| + | * ''fillstyle'': ''full'', ''None'', [[https://matplotlib.org/gallery/lines_bars_and_markers/marker_fillstyle_reference.html|other]] | ||
| + | * Other attributes: ''markersize'', ''markerfacecolor'' (and ''markerfacecoloralt'' for dual color markers), ''markeredgecolor'', ''markeredgewidth'' | ||
| + | * [[https://matplotlib.org/api/colors_api.html|colors]] | ||
| + | * [[https://matplotlib.org/gallery/color/color_demo.html|color demo]] | ||
| + | * [[https://matplotlib.org/examples/color/named_colors.html|named colors]] | ||
| ==== Misc Matplotlib tricks ==== | ==== Misc Matplotlib tricks ==== | ||
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| * [[http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003833|Ten Simple Rules for Better Figures]] | * [[http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003833|Ten Simple Rules for Better Figures]] | ||
| + | * [[https://www.machinelearningplus.com/plots/top-50-matplotlib-visualizations-the-master-plots-python/|Top 50 matplotlib Visualizations]] | ||
| * [[http://seaborn.pydata.org/|Seaborn]] is a library for making attractive and informative statistical graphics in Python, built on top of matplotlib | * [[http://seaborn.pydata.org/|Seaborn]] is a library for making attractive and informative statistical graphics in Python, built on top of matplotlib | ||
| * See also: [[https://www.datacamp.com/community/tutorials/seaborn-python-tutorial| | * See also: [[https://www.datacamp.com/community/tutorials/seaborn-python-tutorial| | ||
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| * Python 3 [[https://perso.limsi.fr/pointal/python:abrege|Quick reference]] and [[https://perso.limsi.fr/pointal/python:memento|Cheat sheet]] | * Python 3 [[https://perso.limsi.fr/pointal/python:abrege|Quick reference]] and [[https://perso.limsi.fr/pointal/python:memento|Cheat sheet]] | ||
| - | * [[https://www.datacamp.com/community/blog/jupyter-notebook-cheat-sheet|Jupyter Notebook Cheat Sheet]] | + | * [[https://www.cheatography.com/weidadeyue/cheat-sheets/jupyter-notebook/pdf_bw/|Jupyter Notebook Keyboard Shortcuts]] |
| ===== Misc tutorials ===== | ===== Misc tutorials ===== | ||
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| * [[https://www.datacamp.com/community/tutorials/data-science-python-ide|Top 5 Python IDEs For Data Science]] | * [[https://www.datacamp.com/community/tutorials/data-science-python-ide|Top 5 Python IDEs For Data Science]] | ||
| * [[http://noeticforce.com/best-python-ide-for-programmers-windows-and-mac|Python IDE: The10 Best IDEs for Python Programmers]] | * [[http://noeticforce.com/best-python-ide-for-programmers-windows-and-mac|Python IDE: The10 Best IDEs for Python Programmers]] | ||
| + | * [[https://www.techbeamers.com/best-python-ide-python-programming/|Get the Best Python IDE]] | ||
| * [[https://wiki.python.org/moin/IntegratedDevelopmentEnvironments]] | * [[https://wiki.python.org/moin/IntegratedDevelopmentEnvironments]] | ||
other/python/jyp_steps.txt · Last modified: 2024/03/07 10:15 by jypeter
