Initial commit. completed exercises up to chapter 2. Graphing equations.
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# ---> Python
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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env/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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*.egg-info/
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.installed.cfg
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*.egg
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*,cover
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Pycharm
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.idea
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"""
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Simple example demonstrating graphing with functions
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Topic: Newton's law of Universal Gravitation
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Models the relationship between gravitational force and distance between two bodies.
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"""
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import matplotlib.pyplot as plt
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G = 6.674 * (10 ** -11)
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def draw_graph(x, y):
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plt.plot(x, y, marker="o")
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plt.xlabel("Distance in Meters")
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plt.ylabel("Gravitational Force in Newtons")
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plt.title("Gravitational Force and Distance")
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plt.show()
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def generate_F_r():
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"""Generates values for r in the New"""
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r = range(100, 1001, 50)
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F = []
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m1 = 0.5
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m2 = 1.5
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for dist in r:
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force = G * (m1 / m2) / (dist ** 2)
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F.append(force)
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draw_graph(r, F)
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if __name__ == "__main__":
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generate_F_r()
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"""
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Simple Pyplot example
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PyPlot is the module you should be using for non-interactive scripts.
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"""
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import matplotlib.pyplot
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def create_graph():
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x_nums = [1, 2, 3]
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y_nums = [2, 4, 6]
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matplotlib.pyplot.plot(x_nums, y_nums)
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matplotlib.pyplot.show()
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if __name__ == "__main__":
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create_graph()
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"""
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Example saving a figure
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"""
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import matplotlib.pyplot as plt
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import pathlib
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HERE = pathlib.Path(__file__).parent
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def create_graph():
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x = [1, 2, 3]
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y = [2, 4, 6]
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plt.plot(x, y)
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plt.savefig(HERE.joinpath("mygraph.png"))
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if __name__ == "__main__":
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print(HERE)
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create_graph()
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"""
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Simple pylab example
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Use pylab when you are in an interactive shell. This example really should be copied into a RPEL.
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"""
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from pylab import plot, show
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x_numbers = [1, 2, 3]
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y_numbers = [2, 4, 6]
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my_graph = plot(x_numbers, y_numbers, marker='o')
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# my_graph = plot(x_numbers, y_numbers, 'o')
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if __name__ == "__main__":
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show()
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from pylab import legend, plot, show, title, xlabel, ylabel, axis
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nyc_temp_2000 = [31.3, 37.3, 47.2, 51.0, 63.5, 71.3, 72.3, 72.7, 66.0, 57.0, 45.3, 31.1]
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nyc_temp_2006 = [40.9, 35.7, 43.1, 55.7, 63.1, 71.0, 77.9, 75.8, 66.6, 56.2, 51.9, 43.6]
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nyc_temp_2012 = [37.3, 40.9, 50.9, 54.8, 65.1, 71.0, 78.8, 76.7, 68.8, 58.0, 43.9, 41.5]
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months = range(1, 13)
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plot(months, nyc_temp_2000, months, nyc_temp_2006, months, nyc_temp_2012)
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title('Average monthly temperature in NYC')
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xlabel("Month")
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ylabel("Temperature")
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legend([2000, 2006, 2012])
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axis(ymin=0)
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show()
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from pylab import legend, plot, show
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nyc_temp_2000 = [31.3, 37.3, 47.2, 51.0, 63.5, 71.3, 72.3, 72.7, 66.0, 57.0, 45.3, 31.1]
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nyc_temp_2006 = [40.9, 35.7, 43.1, 55.7, 63.1, 71.0, 77.9, 75.8, 66.6, 56.2, 51.9, 43.6]
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nyc_temp_2012 = [37.3, 40.9, 50.9, 54.8, 65.1, 71.0, 78.8, 76.7, 68.8, 58.0, 43.9, 41.5]
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months = range(1, 13)
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plot(months, nyc_temp_2000, months, nyc_temp_2006, months, nyc_temp_2012)
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legend([2000, 2006, 2012])
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show()
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from pylab import plot, show
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from decimal import Decimal
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nyc_temp = [50.9, 60.3, 54.4, 52.4, 51.5, 52.8, 56.8, 55.0, 55.3, 54.0, 56.7, 56.4, 57.3]
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dec_nyc_temp = list(map(lambda x: Decimal(str(x)), nyc_temp))
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years = range(2000, 2013)
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plot(years, dec_nyc_temp, marker='o')
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show()
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from pylab import plot, show
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nyc_temp = [53.9, 56.3, 56.4, 53.4, 54.5, 55.8, 56.8, 55.0, 55.3, 54.0, 56.7, 56.4, 57.3]
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plot(nyc_temp, marker="o")
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show()
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matplotlib
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