created C folder with FP_math.c, Makefile and plotter. FP_math have a FFT realisation with fixed-point math, and its tester

C/plotter.py

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+#!/usr/bin/pypy3
+import plotly.graph_objs as go
+from decimal import *
+from sys import argv
+import csv
+
+
+def main():
+  chart = go.Figure()
+  chart.add_trace(go.Scatter(x=[1,2,3], y=[1,2,3]))
+  chart.show()
+
+
+if __name__ == "__main__":
+  if len(argv) == 1:
+    main()
+  else:
+    f = open(argv[1], "rt")
+    #csv_reader = csv.reader(f)
+    data = {}
+#    for line in csv_reader:
+    headers = f.readline()
+    headers = headers.split(",")
+    headers[-1] = headers[-1][:-1]
+    for i in range(len(headers)):
+      headers[i] = headers[i].strip()
+    for header in headers:
+      data[header] = []
+    for line in f:
+      try:
+        line_data = line.split(",")
+        #line_data = line
+        #print(line_data)
+        for i in range(len(line_data)):
+          val = float(line_data[i])
+          if (i < len(headers)):
+            header = headers[i]
+            data[header].append(val)
+          else:
+            print("too much values!")
+            print("headers:", headers)
+            print("values:", line_data)
+      except ValueError:
+        pass
+    f.close()
+#    print(data)
+    chart = go.Figure()
+    keys = [k for k in data.keys()]
+#    print("data.keys:", keys)
+    X_name = keys[0]
+    print("data samples:",len(data[X_name]))
+    for key, val in data.items():
+      if key != X_name:
+        chart.add_trace(go.Scatter(x=data[X_name], y=val, name=key, mode="markers+lines"))
+    chart.show()
+