def test_large_window_len(self):
with pytest.raises(ValueError) as e_info:
_ = tstoolbox.filter("flat",
"lowpass",
input_ts="tests/data_sine.csv",
window_len=1000)
assert r"Input vector (length=" in str(e_info.value)
def test_filter_fft_lowpass(self):
out = tstoolbox.filter('fft_lowpass',
input_ts='tests/data_sine.csv',
print_input=True,
cutoff_period=50)
self.maxDiff = None
assert_frame_equal(out, self.fft_lowpass, check_column_type=False)
def test_filter_fft_lowpass(self):
out = tstoolbox.filter('fft_lowpass',
input_ts='tests/data_sine.csv',
print_input=True,
cutoff_period=50)
self.maxDiff = None
assert_frame_equal(out, self.fft_lowpass, check_column_type=False)
def test_small_window_len(self):
out = tstoolbox.filter("flat",
input_ts="tests/data_sine.csv",
window_len=2)
out1 = tstoolbox.read("tests/data_sine.csv")
out1.columns = ["Value::filter"]
# NOp
assert_frame_equal(out, out1)
def test_small_window_len(self):
out = tstoolbox.filter('flat',
input_ts='tests/data_sine.csv',
window_len=2)
out1 = tstoolbox.read('tests/data_sine.csv')
out1.columns = ['Value_filter']
# NOp
assert_frame_equal(out, out1)
def test_small_window_len(self):
out = tstoolbox.filter('flat',
input_ts='tests/data_sine.csv',
window_len=2)
out1 = tstoolbox.read('tests/data_sine.csv')
out1.columns = ['Value::filter']
# NOp
assert_frame_equal(out, out1)
def test_filter_hanning(self):
out = tstoolbox.filter(
"hanning",
"lowpass",
input_ts="tests/data_sine.csv",
print_input=True,
window_len=5,
)
self.maxDiff = None
assert_frame_equal(out, self.hanning, check_column_type=False)
def test_filter_fft_lowpass(self):
out = tstoolbox.filter(
"fft",
"lowpass",
input_ts="tests/data_sine.csv",
print_input=True,
lowpass_cutoff=50,
window_len=5,
)
self.maxDiff = None
assert_frame_equal(out, self.fft_lowpass, check_column_type=False)
def test_filter_hanning(self):
out = tstoolbox.filter('hanning',
input_ts='tests/data_sine.csv',
print_input=True)
self.maxDiff = None
assert_frame_equal(out, self.hanning, check_column_type=False)
def test_filter_type(self):
with pytest.raises(ValueError) as e_info:
_ = tstoolbox.filter('flatter',
input_ts='tests/data_sine.csv')
assert r'Filter type ' in str(e_info.value)
def test_filter_flat(self):
out = tstoolbox.filter("flat",
input_ts="tests/data_sine.csv",
print_input=True)
self.maxDiff = None
assert_frame_equal(out, self.flat_3, check_column_type=False)
def test_filter_type(self):
with pytest.raises(ValueError) as e_info:
_ = tstoolbox.filter("flatter", input_ts="tests/data_sine.csv")
assert r"Filter type " in str(e_info.value)
def test_filter_type(self):
with assert_raises_regexp(AssertionError, r"Filter type "):
out = tstoolbox.filter('flatter', input_ts='tests/data_sine.csv')
def test_filter_type(self):
with pytest.raises(ValueError) as e_info:
_ = tstoolbox.filter("flatter",
"lowpass",
input_ts="tests/data_sine.csv")
assert r'The argument "filter_type" should be' in str(e_info.value)
def test_filter_hanning(self):
out = tstoolbox.filter('hanning',
input_ts='tests/data_sine.csv',
print_input=True)
self.maxDiff = None
assert_frame_equal(out, self.hanning, check_column_type=False)
def test_large_window_len(self):
with pytest.raises(ValueError) as e_info:
_ = tstoolbox.filter('flat',
input_ts='tests/data_sine.csv',
window_len=1000)
assert r'Input vector (length=' in str(e_info.value)
def test_large_window_len(self):
with assert_raises_regexp(AssertionError, "Input vector \(length="):
out = tstoolbox.filter('flat',
input_ts='tests/data_sine.csv',
window_len=1000)
