def test_BBANDS():
upper, middle, lower = func.BBANDS(series, timeperiod=20,
nbdevup=2.0, nbdevdn=2.0,
matype=talib.MA_Type.EMA)
i = np.where(~np.isnan(upper))[0][0]
assert_true(len(upper) == len(middle) == len(lower) == len(series))
#assert_true(abs(upper[i + 0] - 98.0734) < 1e-3)
assert_true(abs(middle[i + 0] - 92.8910) < 1e-3)
assert_true(abs(lower[i + 0] - 87.7086) < 1e-3)
#assert_true(abs(upper[i + 13] - 93.674) < 1e-3)
assert_true(abs(middle[i + 13] - 87.679) < 1e-3)
assert_true(abs(lower[i + 13] - 81.685) < 1e-3)
def test_pandas_series():
import pandas
input_df = pandas.DataFrame(ford_2012)
output = talib.SMA(input_df['close'], 10)
expected = pandas.Series(func.SMA(ford_2012['close'], 10),
index=input_df.index)
pandas.util.testing.assert_series_equal(output, expected)
# Test kwargs
output = talib.SMA(real=input_df['close'], timeperiod=10)
pandas.util.testing.assert_series_equal(output, expected)
# Test talib.func API
output = func.SMA(input_df['close'], timeperiod=10)
pandas.util.testing.assert_series_equal(output, expected)
# Test multiple outputs such as from BBANDS
_, output, _ = talib.BBANDS(input_df['close'], 10)
expected = pandas.Series(func.BBANDS(ford_2012['close'], 10)[1],
index=input_df.index)
pandas.util.testing.assert_series_equal(output, expected)