def test_none_missing_raises():
df = pd.DataFrame(np.random.randn(5, 3))
df.iloc[0, 0] = np.nan
with pytest.raises(AssertionError):
ck.none_missing(df)
with pytest.raises(AssertionError):
dc.none_missing()(_add_one)(df)
def test_none_missing_raises():
df = pd.DataFrame(np.random.randn(5, 3))
df.iloc[0, 0] = np.nan
with pytest.raises(AssertionError):
ck.none_missing(df)
with pytest.raises(AssertionError):
dc.none_missing()(_add_one)(df)
def test_none_missing():
df = pd.DataFrame(np.random.randn(5, 3))
result = ck.none_missing(df)
tm.assert_frame_equal(df, result)
result = dc.none_missing()(_add_one)(df)
tm.assert_frame_equal(result, df + 1)
def test_none_missing():
df = pd.DataFrame(np.random.randn(5, 3))
result = ck.none_missing(df)
tm.assert_frame_equal(df, result)
result = dc.none_missing()(_add_one)(df)
tm.assert_frame_equal(result, df + 1)
'two': [i**2 for i in range(5)]
},
index=ind)
adf.ix[4, 'two'] = pd.np.NaN
"""
one two
2010-12-31 0 0
2011-12-31 1 1
2012-12-31 2 4
2013-12-31 3 9
2014-12-31 4 NaN
"""
# Basic call...
try:
none_missing(adf)
except AssertionError:
print "Some values are missing!"
# Using arguments explicitly
try:
none_missing(adf, columns='one')
print "No problem here!"
except:
pass
# Or implicitly using arguments...
try:
none_missing(adf, 'two')
print "Shouldn't see this!"
except:
ind = pd.date_range('2010', '2015', freq='A')
adf = pd.DataFrame({'one' : range(5), 'two' : [ i ** 2 for i in range(5)]}, index=ind)
adf.ix[4,'two'] = pd.np.NaN
"""
one two
2010-12-31 0 0
2011-12-31 1 1
2012-12-31 2 4
2013-12-31 3 9
2014-12-31 4 NaN
"""
# Basic call...
try:
none_missing(adf)
except AssertionError:
print "Some values are missing!"
# Using arguments explicitly
try:
none_missing(adf, columns='one')
print "No problem here!"
except:
pass
# Or implicitly using arguments...
try:
none_missing(adf, 'two')
print "Shouldn't see this!"
except:
