* Added testcase wpylib.math.fitting.linear.Test_2() against numpy.polyfit().

master
Wirawan Purwanto 12 years ago
parent cb8124f699
commit 414643ecde
  1. 33
      math/fitting/linear.py

@ -118,3 +118,36 @@ def Test_1():
rslt = linregr2d_SZ(x,y,dy)
print rslt
return rslt
def Test_2():
"""Testcase 2.
Similar to testcase 1 but with all uncertainties == 1.
>>> wpylib.math.fitting.linear.Test_2()
polyfit result = -0.809999999961 -1392.318265
{'a': -1392.3182649999987,
'b': -0.81000000006627304,
'fit_method': 'linregr2d_SZ',
'fit_model': 'linear',
'sigma': 1.2247448713915881,
'sigma_a': 1.2247448713915885,
'sigma_b': 185.16401995451022}
This is to be compared with the polyfit output.
"""
from wpylib.text_tools import make_matrix as mtx
M = mtx("""
# Source: Co+ QMC/CAS(8,11)d26 cc-pwCVQZ-DK result dated 20121015
0.01 -1392.32619 1.0
0.005 -1392.32284 1.0
0.0025 -1392.31994 1.0
""")
x = M[:,0]
y = M[:,1]
dy = M[:,2]
rslt = linregr2d_SZ(x,y,dy)
polyfit_result = numpy.polyfit(x,y,deg=1,full=False)
print "polyfit result = ", polyfit_result[0], polyfit_result[1]
return rslt

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