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| other:python:matplotlib_by_jyp [2023/09/27 14:08] – [Working with matplotlib (JYP version)] Added link to pdf cheatsheets jypeter | other:python:matplotlib_by_jyp [2023/10/26 10:39] (current) – [Useful matplotlib reference pages] jypeter |
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| ====== Working with matplotlib (JYP version) ====== | ====== Working with matplotlib (JYP version) ====== |
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| <note tip>Note: [[https://matplotlib.org/cheatsheets/|Matplotlib cheatsheets]] | <note tip>Note: [[https://matplotlib.org/cheatsheets/|Matplotlib cheatsheets]] ([[https://github.com/matplotlib/cheatsheets#cheatsheets-for-matplotlib-users|pdf version]])</note> |
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| \\ The [[https://github.com/matplotlib/cheatsheets#cheatsheets-for-matplotlib-users|pdf version of the cheatsheets]] is available on the github page</note> | |
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| **Summary**: there are lots of python libraries that you can use for plotting, but Matplotlib has become a //de facto// standard | **Summary**: there are lots of python libraries that you can use for plotting, but Matplotlib has become a //de facto// standard |
| * if you need several display windows at the same time, create several figures!\\ <code>win_1 = plt.figure() | * if you need several display windows at the same time, create several figures!\\ <code>win_1 = plt.figure() |
| win_2 = plt.figure()</code> | win_2 = plt.figure()</code> |
| * the [[http://matplotlib.org/faq/usage_faq.html#parts-of-a-figure|parts of a figure]] are usually positioned in //normalized coordinates//: ''(0, 0)'' is the bottom left of the figure, and ''(1, 1)'' is the top right | * the [[https://matplotlib.org/stable/gallery/showcase/anatomy.html|parts of a figure]] are usually positioned in //normalized coordinates//: ''(0, 0)'' is the bottom left of the figure, and ''(1, 1)'' is the top right |
| * You don't really specify the **page orientation** (//portrait// or //landscape//) of a plot. If you want a portrait plot, it's up to you to create a plot that will look higher than it is large. The idea is not to worry about this and just check the final resulting plot: create a plot, save it, display the resulting png/pdf and then adjust the creation script | * You don't really specify the **page orientation** (//portrait// or //landscape//) of a plot. If you want a portrait plot, it's up to you to create a plot that will look higher than it is large. The idea is not to worry about this and just check the final resulting plot: create a plot, save it, display the resulting png/pdf and then adjust the creation script |
| * If you do have an idea of the layout of what you want to plot, it may be easier to explicitly specify the figure size/ratio at creation time, and then try to //fill// the normalized coordinates space of the figure | * If you do have an idea of the layout of what you want to plot, it may be easier to explicitly specify the figure size/ratio at creation time, and then try to //fill// the normalized coordinates space of the figure |
| * The specified ''width'' and ''height'' are supposed to be in inches (1 inch = 2.54 cm) | * The specified ''width'' and ''height'' are supposed to be in inches (1 inch = 2.54 cm) |
| * ''my_page = plt.figure(figsize=(8.3, 11.7))'': create a figure that will theoretically fill an A4 size page in portrait mode (check [[https://www.papersizes.org/a-paper-sizes.htm|Dimensions Of A Series Paper Sizes]] if you need more details about standard paper sizes) | * ''my_page = plt.figure(figsize=(8.3, 11.7))'': create a figure that will theoretically fill an A4 size page in portrait mode (check [[https://www.papersizes.org/a-paper-sizes.htm|Dimensions Of A Series Paper Sizes]] if you need more details about standard paper sizes) |
| * a Matplotlib **//Axis//** is a **plot** inside a Figure... [[http://matplotlib.org/faq/usage_faq.html#parts-of-a-figure|More details]] | * a Matplotlib **//Axes//** (not to be confused with an //**axis**//) is a **(sub-)plot** inside a Figure... [[https://matplotlib.org/stable/api/axes_api.html|(much) More details]] |
| * reserve space for **one plot** that will use most of the available area of the figure/page: | * reserve space for **one plot** that will use most of the available area of the figure/page: |
| * ''my_plot = my_page.add_subplot(1, 1, 1)'' or ''my_plot = my_page.subplot**s**()'' | * ''my_plot = my_page.add_subplot(1, 1, 1)'' or ''my_plot = my_page.subplot**s**()'' |
| * [[https://matplotlib.org/stable/gallery/subplots_axes_and_figures/colorbar_placement.html|Placing colorbars demo]] | * [[https://matplotlib.org/stable/gallery/subplots_axes_and_figures/colorbar_placement.html|Placing colorbars demo]] |
| * [[https://matplotlib.org/stable/gallery/images_contours_and_fields/contourf_demo.html|contourf + colorbar demo]] | * [[https://matplotlib.org/stable/gallery/images_contours_and_fields/contourf_demo.html|contourf + colorbar demo]] |
| | * Changing the font size of a colorbar (i.e. //changing [[https://matplotlib.org/stable/api/axes_api.html#ticks-and-tick-labels|ticks and tick labels]]//): |
| | * This can be done by manipulating the properties of the //Axes// where the colorbar is plotted\\ e.g. change the tick labels font size with\\ ''cb.ax.tick_params(labelsize='xx-large')'' (where ''cb'' is a //colorbar// object) |
| * [[https://matplotlib.org/api/_as_gen/matplotlib.pyplot.text.html|text(...)]] and [[https://matplotlib.org/tutorials/text/annotations.html|annotations]] | * [[https://matplotlib.org/api/_as_gen/matplotlib.pyplot.text.html|text(...)]] and [[https://matplotlib.org/tutorials/text/annotations.html|annotations]] |
| * Some titles: | * Some titles: |
