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work around change in pandas 0.20

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* tests/core/ltlcross4.test: Replace describe() by agg() to work
around a backward incompatible change in pandas 0.20.
This commit is contained in:
Alexandre Duret-Lutz 2017-06-02 19:07:34 +02:00
parent ae0e84ac9e
commit 526b299de8
1 changed files with 15 additions and 29 deletions
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44
tests/core/ltlcross4.test
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@ -1,6 +1,6 @@
#!/bin/sh
# -*- coding: utf-8 -*-
# Copyright (C) 2012, 2013, 2014 Laboratoire de Recherche et
# Copyright (C) 2012-2014, 2017 Laboratoire de Recherche et
# Développement de l'Epita (LRDE).
#
# This file is part of Spot, a model checking library.
@ -40,49 +40,35 @@ cat >test.py <<EOF
import sys
try:
import pandas
import numpy as np
except ImportError:
sys.exit(77)
x = pandas.read_csv("output.csv")
# We used to call describe() instead of agg(),
# but the output of this function was changed
# in pandas 0.20.
print(x.filter(('formula', 'tool',
'states', 'transitions')).groupby('tool').describe())
'states', 'transitions')).\
groupby('tool').\
agg([np.mean, np.std, np.min, np.max]))
EOF
# will exit 77 if panda is not installed
$PYTHON test.py >out.1
# remove trailing whitespace from pandas' output,
# and limit to 26 lines, because Pandas 0.13 adds
# and limit to 6 lines, because Pandas 0.13 adds
# the size of the dataframe afterwards.
sed 's/[ \t]*$//g;26q' <out.1 > py.out
sed 's/[ \t]*$//g;6q' <out.1 > py.out
cat >expected <<EOF
states transitions
states transitions
mean std amin amax mean std amin amax
tool
ltl2tgba any count 4.000000 4.000000
mean 2.250000 10.000000
std 0.957427 5.163978
min 1.000000 4.000000
25% 1.750000 7.000000
50% 2.500000 10.000000
75% 3.000000 13.000000
max 3.000000 16.000000
ltl2tgba det count 4.000000 4.000000
mean 2.250000 9.250000
std 0.957427 4.573474
min 1.000000 4.000000
25% 1.750000 6.250000
50% 2.500000 9.500000
75% 3.000000 12.500000
max 3.000000 14.000000
ltl2tgba sma count 4.000000 4.000000
mean 2.250000 9.250000
std 0.957427 4.573474
min 1.000000 4.000000
25% 1.750000 6.250000
50% 2.500000 9.500000
75% 3.000000 12.500000
max 3.000000 14.000000
ltl2tgba any 2.25 0.957427 1 3 10.00 5.163978 4 16
ltl2tgba det 2.25 0.957427 1 3 9.25 4.573474 4 14
ltl2tgba sma 2.25 0.957427 1 3 9.25 4.573474 4 14
EOF
diff py.out expected