INNER CODE UNIT · Python
mean_median_difference
firmai/deltapy · deltapy/extract.py:136
mean_median_difference = np.abs(np.mean(x) - np.median(x))
max_min_difference = np.max(x) - np.min(x)
return [("r_{}".format(r["r"]), mean_median_difference < (r["r"] * max_min_difference))
for r in param]
# symmetry_looking(df["Close"])
#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#-> In Package
def has_duplicate_max(x):
"""
Checks if the maximum value of x is observed more than once
:param x: the time series to calculate the feature of
:type x: numpy.ndarray
:return: the value of this feature