1+ """
2+ ---"subplot" syntax (Check around line 1411 in pyplot.py)---
3+
4+ @_docstring.interpd
5+ def subplot(*args, **kwargs) -> Axes:
6+
7+ 1. The "->" syntax stands for a function annotation: it has been introduced with Python3 and it only documents the various
8+ types in our code, but it has no effects at runtime (not slower, not faster). I can write whatever I want without
9+ influence my code.
10+
11+ Example #1:
12+ def sum(x: int, y: int) -> int:
13+ return x + y
14+
15+ Here I'm saying to the user that "x" should be an integer as well as "y" and that the return value will be an integer too.
16+ So if I run sum(1, 2) I'll get 3.
17+
18+ If now I change my function definition into:
19+ def sum(x: str, y: int) -> str:
20+ return x + y
21+
22+ Here I'm saying to the user that "x" as well as the return value should be a string while "y" should be an integer.
23+ If I run sum(1, 2) I'll get another time 3, and this because I have only made a function annotation that doesn't
24+ influence at all during the runtime. Thus, Python doesn't interpret a string as "x" only because I've written "x: str".
25+
26+ To access function annotaions I can type:
27+ sum.__annotation__
28+
29+ While to access function documentation (that is explicited into """ """ after the "def" keyword) I can type:
30+ sum.__doc__
31+
32+ Check the links below for more info:
33+ https://www.youtube.com/watch?v=k56rEoRjK4k&t=192s
34+ https://peps.python.org/pep-3107/
35+
36+ 2. subplot(nrows, ncols, index). The subplot will take the "index" position on a grid with "nrows" rows and *ncols* columns.
37+ "index" starts at 1 in the upper left corner and increases to the right.
38+
39+ Example #1:
40+ nrows = 2
41+ ncols = 1
42+ index = 1
43+ I'm creating a matrix with 2 rows and 1 col and my plot is going to occupy the upper half of the figure.
44+
45+ Example #2:
46+ nrows = 3
47+ ncols = 1
48+ index = (1,2) -> "index" is a two-touple (a Python's touple is a sort of Matlab's cell) this time...
49+ Here I'm creating a plot that is going to occupty the uppermost 2/3 of the figure. If "index" is a two-touple
50+ element, the first touple's element indicates the starting index in the grid, while the second one the lasting.
51+
52+ 3. subplot(211) = subplot(2, 1, 1)
53+ """
54+
55+ import matplotlib
56+ import matplotlib .pyplot as plt
57+ import numpy as np
58+
59+ """
60+ figure = plt.figure()
61+ ax = figure.add_subplot(111)
62+ ax2 = ax.twinx()
63+ ax2.cla()#or clear() ; doesn't work both ways
64+ ax.set_ylabel('ax_label')
65+ ax2.set_ylabel('ax2_label')#expected to be on the right
66+ plt.show()
67+ """
68+
69+ """
70+ fig, ax1 = plt.subplots()
71+ ax2 = ax1.twinx()
72+ for i in range(2):
73+ # do some plotting here
74+ ax2.set(ylabel=f'ylabel of plot # {i}', ylim=(1, i + 2))
75+ ax2.yaxis.set_label_position('right')
76+ fig.savefig(f'{i}.png')
77+ ax1.cla()
78+ ax2.cla()
79+ """
80+
81+ ax0 = plt .subplot (211 ) # subplot(211) = subplot(2,1,1) ->
82+ ax1 = plt .subplot (212 , sharex = ax0 )
83+ ax0 .plot (range (100 ))
84+ ax1 .plot (range (100 ))
85+ ax0 .cla ()
86+ plt .show ()
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