Repository URL to install this package:
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Version:
0.3.1 ▾
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"""
Tests for iolib/foreign.py
"""
from numpy.testing import *
import numpy as np
import scikits.statsmodels.api as sm
import os
# Test precisions
DECIMAL_4 = 4
DECIMAL_3 = 3
def test_genfromdta():
"""
Test genfromdta vs. results/macrodta.npy created with genfromtxt.
"""
#NOTE: Stata handles data very oddly. Round tripping from csv to dta
# to ndarray 2710.349 (csv) -> 2510.2491 (stata) -> 2710.34912109375
# (dta/ndarray)
curdir = os.path.dirname(os.path.abspath(__file__))
#res2 = np.load(curdir+'/results/macrodata.npy')
#res2 = res2.view((float,len(res2[0])))
from results.macrodata import macrodata_result
res2 = macrodata_result.view((float,len(macrodata_result[0])))
res1 = sm.iolib.genfromdta(curdir+'/../../datasets/macrodata/macrodata.dta')
res1 = res1.view((float,len(res1[0])))
assert_array_almost_equal(res1, res2, DECIMAL_3)
if __name__ == "__main__":
import nose
nose.runmodule(argv=[__file__,'-vvs','-x','--pdb'],
exit=False)