Differences

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--- other:python:jyp_steps [2018/12/14 15:05] – [Matplotlib] Added note about offline graphics jypeter
+++ other:python:jyp_steps [2019/05/23 15:37] – [Graphics related resources] Added Top 50 matplotlib Visualizations jypeter
@@ Line 185: / Line 185: @@
     - a Matplotlib //Figure// is a graphical window in which you make your plots...
     - a Matplotlib //Axis// is a plot inside a Figure... [[http://matplotlib.org/faq/usage_faq.html#parts-of-a-figure|More details]]
+    - some resources for having multiple plots on the same figure
+      * [[https://matplotlib.org/gallery/recipes/create_subplots.html#sphx-glr-gallery-recipes-create-subplots-py|Easily creating subplots]]
+      * [[https://matplotlib.org/gallery/index.html#subplots-axes-and-figures|Subplots, axes and figures]] gallery
+      * [[https://matplotlib.org/tutorials/intermediate/gridspec.html#sphx-glr-tutorials-intermediate-gridspec-py|Customizing Figure Layouts Using GridSpec and Other Functions]], [[https://matplotlib.org/tutorials/intermediate/constrainedlayout_guide.html|constrained layout]] and [[https://matplotlib.org/tutorials/intermediate/tight_layout_guide.html|tight layout]]
+      * [[http://matplotlib.org/faq/usage_faq.html#parts-of-a-figure|parts of a figure]]
     - some examples are more //pythonic// (ie object oriented) than others, some example mix different styles of coding, all this can be confusing. Try to [[http://matplotlib.org/faq/usage_faq.html#coding-styles|use an object oriented way of doing things]]!
     - it may be hard to (remember how to) work with colors. Some examples from the [[http://matplotlib.org/gallery.html|Gallery]] can help you!
@@ Line 199: / Line 204: @@
   - 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.
+==== 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 ====
@@ Line 209: / Line 228: @@
   * [[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
     * See also: [[https://www.datacamp.com/community/tutorials/seaborn-python-tutorial|
@@ Line 320: / Line 340: @@
 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...
-===== Quick Reference =====
+===== Quick Reference and cheat sheets =====
   * The nice and convenient Python 2.7 Quick Reference: [[http://rgruet.free.fr/PQR27/PQR2.7_printing_a4.pdf|pdf]] - [[http://rgruet.free.fr/PQR27/PQR2.7.html|html]]
@@ Line 326: / Line 346: @@
   * Python 3 [[https://perso.limsi.fr/pointal/python:abrege|Quick reference]] and [[https://perso.limsi.fr/pointal/python:memento|Cheat sheet]]
+  * [[https://www.cheatography.com/weidadeyue/cheat-sheets/jupyter-notebook/pdf_bw/|Jupyter Notebook Keyboard Shortcuts]]
 ===== Misc tutorials =====
@@ Line 366: / Line 388: @@
   * [[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]]
+  * [[https://www.techbeamers.com/best-python-ide-python-programming/|Get the Best Python IDE]]
   * [[https://wiki.python.org/moin/IntegratedDevelopmentEnvironments]]