├── matplotlib
    ├── 2-stacked-bar.py
    ├── 1-simple-plot.py
    └── 3-barchart.ipynb
└── .gitignore


/matplotlib/2-stacked-bar.py:
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 1 | import numpy as np
 2 | import matplotlib.pyplot as plt
 3 | 
 4 | N = 5
 5 | men_means = (20, 35, 30, 35, 27)
 6 | women_means = (25, 32, 34, 20, 25)
 7 | men_std = (2, 3, 4, 1, 2)
 8 | women_std = (3, 5, 2, 3, 3)
 9 | 
10 | # The x locations for the groups
11 | ind = np.arange(N)
12 | 
13 | # Width of the bars: can also be len(x) sequence
14 | width = 0.35
15 | 
16 | p1 = plt.bar(ind, men_means, width, yerr=menStd)
17 | p2 = plt.bar(ind, women_means, width,
18 |              bottom=men_means, yerr=women_std)
19 | 
20 | plt.ylabel('Scores')
21 | plt.title('Scores by group and gender')
22 | plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))
23 | plt.yticks(np.arange(0, 81, 10))
24 | plt.legend((p1[0], p2[0]), ('Men', 'Women'))
25 | 
26 | plt.show()
27 | 


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/matplotlib/1-simple-plot.py:
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 1 | ''' In this quick and sweet example you will find out about matplotlib basic functions
 2 | to create a sample plot which shows your curiosity in learning matplotlib.
 3 | Read along and have fun!''' 
 4 | 
 5 | import matplotlib
 6 | import matplotlib.pyplot as plt # Pyplot is a rich collection of command style functions
 7 | import numpy as np
 8 | 
 9 | # Insert some data to play with below using Numpy
10 | t = np.arange(0.0, 2.0, 0.01)
11 | 
12 | # Trigonometric sine
13 | s = 1 + np.sin(6 * np.pi * t)
14 | 
15 | fix, ax = plt.subplots()
16 | 
17 | # Make sure you plot the data indicated
18 | ax.plot(t, s)
19 | 
20 | # Add some labels for x and y axes
21 | ax.set(xlabel='time (s)', ylabel='interest (points)',
22 | 	title='Your interest in Matplotlib ')
23 | 
24 | # Add a marvelous grid
25 | ax.grid()
26 | 
27 | # This function shows everything you've added so far in your plot. Enjoy the curvies!
28 | plt.show()
29 | 


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/matplotlib/3-barchart.ipynb:
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 1 | {
 2 |  "cells": [
 3 |   {
 4 |    "cell_type": "markdown",
 5 |    "metadata": {},
 6 |    "source": [
 7 |     "# Barchart\n",
 8 |     "\n",
 9 |     "### A bar plot with errorbars and height labels on individual bars."
10 |    ]
11 |   },
12 |   {
13 |    "cell_type": "code",
14 |    "execution_count": null,
15 |    "metadata": {},
16 |    "outputs": [],
17 |    "source": [
18 |     "import numpy as np\n",
19 |     "import matplotlib.pyplot as plt\n",
20 |     "\n",
21 |     "men_means, men_std = (20, 35, 30, 35, 27), (2, 3, 4, 1, 2)\n",
22 |     "women_means, women std (25, 32, 34, 20, 25), (3, 5, 2, 3, 3)\n",
23 |     "\n",
24 |     "# The x locations for the groups\n",
25 |     "ind = np.arrange(len(men_means))\n",
26 |     "\n",
27 |     "# The width of the bars\n",
28 |     "width = 0.35"
29 |    ]
30 |   }
31 |  ],
32 |  "metadata": {
33 |   "kernelspec": {
34 |    "display_name": "Python 3",
35 |    "language": "python",
36 |    "name": "python3"
37 |   },
38 |   "language_info": {
39 |    "codemirror_mode": {
40 |     "name": "ipython",
41 |     "version": 3
42 |    },
43 |    "file_extension": ".py",
44 |    "mimetype": "text/x-python",
45 |    "name": "python",
46 |    "nbconvert_exporter": "python",
47 |    "pygments_lexer": "ipython3",
48 |    "version": "3.6.8"
49 |   }
50 |  },
51 |  "nbformat": 4,
52 |  "nbformat_minor": 2
53 | }
54 | 


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/.gitignore:
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  1 | # Byte-compiled / optimized / DLL files
  2 | __pycache__/
  3 | *.py[cod]
  4 | *$py.class
  5 | 
  6 | # C extensions
  7 | *.so
  8 | 
  9 | # Distribution / packaging
 10 | .Python
 11 | build/
 12 | develop-eggs/
 13 | dist/
 14 | downloads/
 15 | eggs/
 16 | .eggs/
 17 | lib/
 18 | lib64/
 19 | parts/
 20 | sdist/
 21 | var/
 22 | wheels/
 23 | *.egg-info/
 24 | .installed.cfg
 25 | *.egg
 26 | MANIFEST
 27 | 
 28 | # PyInstaller
 29 | #  Usually these files are written by a python script from a template
 30 | #  before PyInstaller builds the exe, so as to inject date/other infos into it.
 31 | *.manifest
 32 | *.spec
 33 | 
 34 | # Installer logs
 35 | pip-log.txt
 36 | pip-delete-this-directory.txt
 37 | 
 38 | # Unit test / coverage reports
 39 | htmlcov/
 40 | .tox/
 41 | .coverage
 42 | .coverage.*
 43 | .cache
 44 | nosetests.xml
 45 | coverage.xml
 46 | *.cover
 47 | .hypothesis/
 48 | .pytest_cache/
 49 | 
 50 | # Translations
 51 | *.mo
 52 | *.pot
 53 | 
 54 | # Django stuff:
 55 | *.log
 56 | local_settings.py
 57 | db.sqlite3
 58 | 
 59 | # Flask stuff:
 60 | instance/
 61 | .webassets-cache
 62 | 
 63 | # Scrapy stuff:
 64 | .scrapy
 65 | 
 66 | # Sphinx documentation
 67 | docs/_build/
 68 | 
 69 | # PyBuilder
 70 | target/
 71 | 
 72 | # Jupyter Notebook
 73 | .ipynb_checkpoints
 74 | 
 75 | # pyenv
 76 | .python-version
 77 | 
 78 | # celery beat schedule file
 79 | celerybeat-schedule
 80 | 
 81 | # SageMath parsed files
 82 | *.sage.py
 83 | 
 84 | # Environments
 85 | .env
 86 | .venv
 87 | env/
 88 | venv/
 89 | ENV/
 90 | env.bak/
 91 | venv.bak/
 92 | 
 93 | # Spyder project settings
 94 | .spyderproject
 95 | .spyproject
 96 | 
 97 | # Rope project settings
 98 | .ropeproject
 99 | 
100 | # mkdocs documentation
101 | /site
102 | 
103 | # mypy
104 | .mypy_cache/
105 | 


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