Python libraries - Revision history

Paul: added Seaborn link

2019-07-18T21:57:25Z

added Seaborn link

← Older revision		Revision as of 16:57, 18 July 2019
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	See [https://docs.python.org/3/library/string.html#string-formatting Python string formatting] docs for additional information		See [https://docs.python.org/3/library/string.html#string-formatting Python string formatting] docs for additional information

	== Matplotlib ==		== Python visual ==

			=== Matplotlib ===

	import matplotlib.pyplot		import matplotlib.pyplot
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	Example: build a histogram		Example: build a histogram

			=== Resources ===

			[https://www.marsja.se/python-data-visualization-techniques-you-should-learn-seaborn/ Python data visualization techniques you should learn with Seaborn] a Python data visualization library based on matplotlib

	<center>[[Python\|To Python]]</center>		<center>[[Python\|To Python]]</center>

Paul: centered footer

2019-03-30T22:56:21Z

centered footer

← Older revision		Revision as of 17:56, 30 March 2019
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	Example: build a histogram		Example: build a histogram

	[[Python\|To Python]]		<center>[[Python\|To Python]]</center>

Paul: /* Random module */

2019-03-30T19:38:44Z

Random module

← Older revision		Revision as of 14:38, 30 March 2019
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	'0x89cc0e8dc42edf3'		'0x89cc0e8dc42edf3'
	>>> '0x{0:08x}'.format(getrandbits(128))		>>> '0x{0:08x}'.format(getrandbits(128))
	'0xc8c4348f8f44487d0a13c004405c647c'</pre>		'0xc8c4348f8f44487d0a13c004405c647c'
			>>> '0x{0:040x}'.format(getrandbits(128))
			'0x0000000059de380b301667517bba418193c1a799'
			>>> '0x{0:080x}'.format(getrandbits(128))
			'0x0000000000000000000000000000000000000000000000002565dab4d4fe52fc64294099cc336ba8'</pre>

	Explanation of string format syntax used above:		Explanation of string format syntax used above:
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	See [https://docs.python.org/3/library/string.html#string-formatting Python string formatting] docs for additional information		See [https://docs.python.org/3/library/string.html#string-formatting Python string formatting] docs for additional information


	== Matplotlib ==		== Matplotlib ==

Paul: added getrandbits modoule examples

2019-03-30T19:31:03Z

added getrandbits modoule examples

← Older revision		Revision as of 14:31, 30 March 2019
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			== [https://docs.python.org/3/library/random.html Random] module ==

			=== Generate random integer with random number of bits ===

			Examples using IDLE with Python 3.7.2 and <code>>>> from random import getrandbits</code>

			First I simply return a random integer using 4 as an argument, which produces random integers from 0 to 15 or '0000' to '1111' in binary, , also known as a [https://en.wikipedia.org/wiki/Nibble nibble], or '0' to 'f' in hexadecimal (represented as 0x0 to 0xf)

			<pre>>>> getrandbits(4)
			0
			>>> getrandbits(4)
			15</pre>

			Cast the integer into binary using 4, 8, 16, 32, 64, and 128 bits

			<pre>>>> bin(getrandbits(4))
			'0b101'
			>>> bin(getrandbits(4))
			'0b1010'
			>>> bin(getrandbits(4))
			'0b1001'
			>>> bin(getrandbits(8))
			'0b10100110'
			>>> bin(getrandbits(8))
			'0b1001000'
			>>> bin(getrandbits(16))
			'0b11001110111101'
			>>> bin(getrandbits(32))
			'0b10111001011000110110000111011001'
			>>> bin(getrandbits(64))
			'0b1001111101111000100100110111000101011000010010101001001011100010'
			>>> bin(getrandbits(128))
			'0b10100111110000000100110000001110001111111101110010110110111111010111111110010000011000111011110000011100101011111001101001010101'</pre>

			Basic output can be boring. Let us do some formatting with 4, 8, 16, 32, 64, and 128 bits

			<pre>>>> '{0:08b}'.format(getrandbits(4))
			'00001110'
			>>> '{0:08b}'.format(getrandbits(8))
			'10000010'
			>>> '{0:08b}'.format(getrandbits(8))
			'01101100'
			>>> '{0:08b}'.format(getrandbits(8))
			'00101011'
			>>> '0x{0:01x}'.format(getrandbits(4))
			'0xc'
			>>> '0x{0:01x}'.format(getrandbits(4))
			'0x6'
			>>> '0x{0:01x}'.format(getrandbits(8))
			'0xf5'
			>>> '0x{0:01x}'.format(getrandbits(8))
			'0xfc'
			>>> '0x{0:08x}'.format(getrandbits(4))
			'0x0000000d'
			>>> '0x{0:08x}'.format(getrandbits(8))
			'0x00000093'
			>>> '0x{0:08x}'.format(getrandbits(16))
			'0x0000daed'
			>>> '0x{0:08x}'.format(getrandbits(32))
			'0x90967fce'
			>>> '0x{0:08x}'.format(getrandbits(64))
			'0x89cc0e8dc42edf3'
			>>> '0x{0:08x}'.format(getrandbits(128))
			'0xc8c4348f8f44487d0a13c004405c647c'</pre>

			Explanation of string format syntax used above:
			* {} places a variable into a string
			* 0 takes the variable at argument position 0, which is getrandbits() return value
			* : adds formatting options for position 0 variable
			* 08 formats the output to eight digits zero-padded on the left
			* b converts the integer to binary representation
			* x converts the integer to hexadecimal representation

			See [https://docs.python.org/3/library/string.html#string-formatting Python string formatting] docs for additional information


	== Matplotlib ==		== Matplotlib ==

Paul: /* Matplotlib */

2016-02-11T22:39:47Z

Matplotlib

← Older revision		Revision as of 17:39, 11 February 2016
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	import matplotlib.pyplot as plt		import matplotlib.pyplot as plt

			Example: build a histogram

	[[Python\|To Python]]		[[Python\|To Python]]

Paul: Created page with "== Matplotlib == import matplotlib.pyplot or import matplotlib.pyplot as plt To Python"

2016-02-11T22:16:28Z

Created page with "== Matplotlib == import matplotlib.pyplot or import matplotlib.pyplot as plt To Python"

New page

== Matplotlib ==

import matplotlib.pyplot

or

import matplotlib.pyplot as plt

[[Python|To Python]]