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python_cookbook [2016/08/22 13:35]
mantis [Headline]
python_cookbook [2019/01/29 13:59]
mantis [Spline Polynoms]
Line 1145: 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 1778: 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 ======
python_cookbook.txt · Last modified: 2019/03/05 09:51 by mantis