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other:python:matplotlib_by_jyp [2023/09/27 12:11]
jypeter [Working with matplotlib (JYP version)] Simplified pdf cheatsheets link
other:python:matplotlib_by_jyp [2023/10/25 13:52]
jypeter [Starting (and more) with matplotlib] Slight update of the Axes documentation
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         * 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
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             * 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**()''​
other/python/matplotlib_by_jyp.txt · Last modified: 2023/10/26 08:39 by jypeter