can get significant range for fourier anplitude

eqsig/__about__.py

@@ -1 +1 @@
-__version__ = "0.5.13"
+__version__ = "0.5.14"

eqsig/__init__.py

@@ -1,2 +1,2 @@
-from eqsig.single import Signal, AccSignal
+from eqsig.single import Signal, AccSignal, significant_range
 from eqsig import design_spectra

eqsig/single.py

@@ -604,4 +604,20 @@ def time_indices(npts, dt, start, end, index):
         e_index = end
     if e_index > npts:
         raise exceptions.SignalProcessingWarning("Cut point is greater than time series length")
-    return s_index, e_index
+    return s_index, e_index
+
+
+def significant_range(fas1_smooth, ratio=15):  # TODO: move to signalpy
+    max_fas1 = max(fas1_smooth)
+    lim_fas = max_fas1 / ratio
+    min_freq_i = 10000
+    max_freq_i = 10000
+    for i in range(len(fas1_smooth)):
+        if fas1_smooth[i] > lim_fas:
+            min_freq_i = i
+            break
+    for i in range(len(fas1_smooth)):
+        if fas1_smooth[-1 - i] > lim_fas:
+            max_freq_i = len(fas1_smooth) - i
+            break
+    return min_freq_i, max_freq_i

setup.py

@@ -22,7 +22,7 @@
       install_requires=[
         "numpy",
         "scipy",
-        "matplotlib",
+        "matplotlib",  # to be removed
         "bwplot",
         "engformat"
     ],