from rozraha import hlp, turning_points, n
corr1_1m = hlp["mean"].corr(hlp["mf5f"])
corr2_1m = hlp["mean"].corr(hlp["mf7f"])
corr3_1m = hlp["mean"].corr(hlp["mf9f"])
corr5_1m = hlp["mean"].corr(hlp["mf11f"])
corr6_1m = hlp["mean"].corr(hlp["mf13f"])
corr7_1m = hlp["mean"].corr(hlp["mf15f"])
turning_points5m = turning_points(hlp["mf5f"], n)
turning_points7m = turning_points(hlp["mf7f"], n)
turning_points9m = turning_points(hlp["mf9f"], n)
turning_points11m = turning_points(hlp["mf11f"], n)
turning_points13m = turning_points(hlp["mf13f"], n)
turning_points15m = turning_points(hlp["mf15f"], n)
print("this is median corealtion (послідовне){}\n{}\n{}\n{}\n{}".format(
corr1_1m, corr2_1m, corr3_1m, corr5_1m, corr7_1m))
print("turning points median poslidovne:")
print("{}\n{}\n{}\n{}\n{}\n{}".format(turning_points5m, turning_points7m,
turning_points9m, turning_points11m,
turning_points13m, turning_points15m))
from rozraha import hlp, turning_points, n
corr01 = hlp["mean"].corr(hlp["exponentialra0.1"])
corr15 = hlp["mean"].corr(hlp["exponentialra0.15"])
corr02 = hlp["mean"].corr(hlp["exponentialra0.2"])
corr025 = hlp["mean"].corr(hlp["exponentialra0.25"])
corr03 = hlp["mean"].corr(hlp["exponentialra0.3"])
print("correaltion exp не послідовне 1")
print("{}\n{}\n{}\n{}\n{}".format(corr01, corr15, corr02, corr025, corr03))
turning_pointexp1 = turning_points(hlp["exponentialra0.1"], n)
turning_pointsexp15 = turning_points(hlp["exponentialra0.15"], n)
turning_pointexp2_ = turning_points(hlp["exponentialra0.2"], n)
turning_pointexp25 = turning_points(hlp["exponentialra0.25"], n)
turning_pointexp3 = turning_points(hlp["exponentialra0.3"], n)
print("exp поворотні точки не послідовне {}\t{}\t{}\t{}\t{}".format(
turning_pointexp1,
turning_pointsexp15,
turning_pointexp2_,
turning_pointexp25,
turning_pointexp3,
from rozraha import hlp, turning_points
corr1m = hlp["mean"].corr(hlp["median_filter3"])
corr2m = hlp["mean"].corr(hlp["median_filter5"])
corr3m = hlp["mean"].corr(hlp["median_filter7"])
corr4m = hlp["mean"].corr(hlp["median_filter9"])
corr5m = hlp["mean"].corr(hlp["median_filter11"])
corr6m = hlp["mean"].corr(hlp["median_filter13"])
corr7m = hlp["mean"].corr(hlp["median_filter15"])
print("this is median corealtion не послідовне {}\n{}\n{}\n{}\n{}".format(
corr1m, corr2m, corr3m, corr5m, corr7m))
n = hlp["median_filter3"].__len__()
turning_points3m = turning_points(hlp["median_filter3"], n)
turning_points5m = turning_points(hlp["median_filter5"], n)
turning_points7m = turning_points(hlp["median_filter7"], n)
turning_points9m = turning_points(hlp["median_filter9"], n)
turning_points11m = turning_points(hlp["median_filter11"], n)
turning_points13m = turning_points(hlp["median_filter13"], n)
turning_points15m = turning_points(hlp["median_filter15"], n)
print("turning points median не послідовне:")
print("{}\n{}\n{}\n{}\n{}\n{}\n{}".format(turning_points3m, turning_points5m,
turning_points7m, turning_points9m,
turning_points11m, turning_points13m,
turning_points15m))
corr1_1 = hlp["mean"].corr(hlp["rolling_av3"])
corr2_1 = hlp["mean"].corr(hlp["rolling_av5"])
corr3_1 = hlp["mean"].corr(hlp["rolling_av7"])
corr4_1 = hlp["mean"].corr(hlp["rolling_av9"])
corr5_1 = hlp["mean"].corr(hlp["rolling_av11"])
corr6_1 = hlp["mean"].corr(hlp["rolling_av13"])
corr7_1 = hlp["mean"].corr(hlp["rolling_av15"])
print(
"correlation ковзне середнє не послідовне {}\n {}\n {}\n {}\n {} \n{} \n{}"
.format(corr1_1, corr2_1, corr3_1, corr4_1, corr5_1, corr6_1, corr7_1))
n = hlp["rolling_av3"].__len__()
turning_points3_1 = turning_points(hlp["rolling_av3"], n)
turning_points5_1 = turning_points(hlp["rolling_av5"], n)
turning_points7_1 = turning_points(hlp["rolling_av7"], n)
turning_points9_1 = turning_points(hlp["rolling_av9"], n)
turning_points11_1 = turning_points(hlp["rolling_av11"], n)
turning_points13_1 = turning_points(hlp["rolling_av13"], n)
turning_points15_1 = turning_points(hlp["rolling_av15"], n)
print("turning points середнє ковзне не послідовне:")
print("{}\n{}\n{}\n{}\n{}\n{}\n{}".format(turning_points3_1, turning_points5_1,
from rozraha import hlp, turning_points
corr1_1 = hlp["mean"].corr(hlp["ra5from3"])
corr3_1 = hlp["mean"].corr(hlp["ra7from5"])
corr4_1 = hlp["mean"].corr(hlp["ra9from7"])
corr5_1 = hlp["mean"].corr(hlp["ra11from9"])
corr6_1 = hlp["mean"].corr(hlp["ra13from11"])
corr7_1 = hlp["mean"].corr(hlp["ra15from13"])
print("correlation ковзне середнє послідовне {}\n {}\n {}\n {}\n {} \n{}".format(corr1_1, corr3_1, corr4_1, corr5_1, corr6_1, corr7_1))
n = hlp["rolling_av3"].__len__()
turning_points5 = turning_points(hlp["ra5from3"], n)
turning_points7 = turning_points(hlp["ra7from5"], n)
turning_points9= turning_points(hlp["ra9from7"], n)
turning_points11 = turning_points(hlp["ra11from9"], n)
turning_points13 = turning_points(hlp["ra13from11"], n)
turning_points15 = turning_points(hlp["ra15from13"], n)
print("turning points послідовне середнд ковзне:")
print("{}\n{}\n{}\n{}\n{}\n{}".format(turning_points5, turning_points7,turning_points9,turning_points11,turning_points13,turning_points15))