def test_glog_dataframe():
x = np.random.randn(1000)
y = np.random.randn(1000)
z = np.random.randn(1000)
df = pd.DataFrame(list(zip(x, y, z)))
glog_df = df.applymap(lambda x: stats.glog(x))
assert isinstance(glog_df, pd.DataFrame)
def test_glog_1():
out = stats.glog(1)
assert abs(out - 0.08174569) < 1e-6
def test_glog_skew():
x = np.random.randn(10000)
y = np.append(x, 100)
out = stats.glog(y)
assert max(out) < 10
def test_glog():
x = [1, 2, 3, 4, 5, 6, 7, 100]
out = stats.glog(x)
assert isinstance(out, np.ndarray)