python_cookbook
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python_cookbook [2016/08/22 13:21] mantis [Automatically set parameters of initializer as member variables] |
python_cookbook [2019/03/05 09:49] mantis [Unit Tests] |
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| </code> | </code> | ||
| - | ==== Headline ==== | + | ==== Taking care of boilerplate code ==== |
| - | [[https://glyph.twistedmatrix.com/2016/08/attrs.html|attrs]] helps with | + | [[https://glyph.twistedmatrix.com/2016/08/attrs.html|attrs]] helps with boilerplate code a lot, e.g. initialisation, string representation, comparison. |
| + | |||
| + | <code python> | ||
| + | import attr | ||
| + | @attr.s | ||
| + | class Point3D(object): | ||
| + | x = attr.ib() | ||
| + | y = attr.ib() | ||
| + | z = attr.ib() | ||
| + | </code> | ||
| ====== CGI Scripting ====== | ====== CGI Scripting ====== | ||
| ===== Content Type ===== | ===== Content Type ===== | ||
| Line 1136: | Line 1145: | ||
| * [[http://docs.python.org/lib/module-logging.html|Logger Documentation]] | * [[http://docs.python.org/lib/module-logging.html|Logger Documentation]] | ||
| - | * [[http://docs.python.org/release/2.5/lib/node422.html|Output Formatting]] | + | * [[http://docs.python.org/release/2.5/lib/node422.html|Python 2 output Formatting]] |
| + | * [[https://docs.python.org/3/howto/logging-cookbook.html|Python 3 logging cookbook]] | ||
| ====== Mathematics ====== | ====== Mathematics ====== | ||
| Line 1769: | Line 1779: | ||
| y = numpy.array([41.621207814814809, 42.328298238095236, 45.881729878787887, 43.800834224999996]) | y = numpy.array([41.621207814814809, 42.328298238095236, 45.881729878787887, 43.800834224999996]) | ||
| y_smoothed = scipy.signal.cspline1d(y) | y_smoothed = scipy.signal.cspline1d(y) | ||
| + | </code> | ||
| + | |||
| + | ===== t-test ===== | ||
| + | |||
| + | <code python> | ||
| + | from scipy import stats | ||
| + | import numpy | ||
| + | import statistics | ||
| + | |||
| + | # http://www.biostathandbook.com/onesamplettest.html | ||
| + | data = [120.6, 116.4,117.2,118.1,114.1,116.9,113.3,121.1,116.9,117.0] | ||
| + | |||
| + | m = sum(data)/len(data) | ||
| + | |||
| + | null_hypothesis = 120 | ||
| + | |||
| + | t_value, p_value = stats.ttest_1samp(data, null_hypothesis) | ||
| + | |||
| + | print(statistics.stdev(data)) | ||
| + | print(numpy.std(data, ddof=1)) | ||
| + | |||
| + | print(t_value, p_value) | ||
| </code> | </code> | ||
| ====== Statistical Functions ====== | ====== Statistical Functions ====== | ||
| Line 1822: | Line 1854: | ||
| (found in comments [[http://programmingpraxis.com/2012/05/29/streaming-median/|here]] - damn I hate paywalls. I'd love to read the piglet tracking paper!) | (found in comments [[http://programmingpraxis.com/2012/05/29/streaming-median/|here]] - damn I hate paywalls. I'd love to read the piglet tracking paper!) | ||
| - | ====== Unit Tests ====== | + | ====== Testing ====== |
| + | |||
| + | ===== unittest ===== | ||
| * Python 2 https://docs.python.org/2.7/library/unittest.html | * Python 2 https://docs.python.org/2.7/library/unittest.html | ||
| * python 3 https://docs.python.org/3.4/library/unittest.html | * python 3 https://docs.python.org/3.4/library/unittest.html | ||
python_cookbook.txt · Last modified: 2019/03/05 09:51 by mantis
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