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####### # # E-scripts on matplotlib and friends. # # Note 1: use the eev command (defined in eev.el) and the # ee alias (in my .zshrc) to execute parts of this file. # Executing this file as a whole makes no sense. # An introduction to eev can be found here: # # (find-eev-quick-intro) # http://angg.twu.net/eev-intros/find-eev-quick-intro.html # # Note 2: be VERY careful and make sure you understand what # you're doing. # # Note 3: If you use a shell other than zsh things like |& # and the for loops may not work. # # Note 4: I always run as root. # # Note 5: some parts are too old and don't work anymore. Some # never worked. # # Note 6: the definitions for the find-xxxfile commands are on my # .emacs. # # Note 7: if you see a strange command check my .zshrc -- it may # be defined there as a function or an alias. # # Note 8: the sections without dates are always older than the # sections with dates. # # This file is at <http://angg.twu.net/e/matplotlib.e> # or at <http://angg.twu.net/e/matplotlib.e.html>. # See also <http://angg.twu.net/emacs.html>, # <http://angg.twu.net/.emacs[.html]>, # <http://angg.twu.net/.zshrc[.html]>, # <http://angg.twu.net/escripts.html>, # and <http://angg.twu.net/>. # ####### # «.combined-plot» (to "combined-plot") # (find-es "python" "matplotlib") # (find-es "python" "matplotlib-examples") # (find-es "python" "matplotlib-rougier") # https://news.ycombinator.com/item?id=32875983 What's New in Matplotlib 3.6.0 (matplotlib.org) *** # https://pyx-project.org/examples/graphs/index.html # https://sourceforge.net/p/pyx/gallery/index/ # https://seaborn.pydata.org/ # https://pyx-project.org/news.html ##### # # combined-plot # 2024may25 # ##### # «combined-plot» (to ".combined-plot") * (eepitch-python3) * (eepitch-kill) * (eepitch-python3) data1 = [1, 3, 2, 5, 4] data2 = [2, 4, 6, 8, 10] (data1, data2) import matplotlib.pyplot as plt plt.plot(data1, label='Data 1', marker='o') plt.plot(data2, label='Data 2', marker='s') plt.xlabel('Index') plt.ylabel('Value') plt.title('Combined Plot') plt.legend() plt.savefig('combined_plot.png') plt.show() def normalize(data): total = sum(data) return [x / total for x in data] print(normalize(data1)) normalize(data2) https://leancrew.com/all-this/2024/11/square-roots-and-maxima/ https://news.ycombinator.com/item?id=42282112 Square Roots and Maxima (leancrew.com) # Local Variables: # coding: utf-8-unix # End: