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Ich versuche, Butter und Lfilter von scipy.signal in einem kompilierten Programm zu verwenden. I Nach einiger Fehlersuche festgestellt, dass, wenn das Programm diese Zeile erreicht:Scipy.signal stürzt Anwendung mit CX_Freeze ab
b, a = Butter (Auftrag, normal_cutoff, AkTyp = 'low', analog = False)
Die ausführbare Schließung wurde. Mein Programm läuft gut, wenn es in der IDE ist. Ich habe unten einen Beispielcode eingefügt, der das Problem neu erstellt.
from scipy.signal import butter, lfilter
from tkinter import *
master = Tk()
def test_program():
def butter_lowpass(cutoff, fs, order=5):
nyq = 0.5 * fs
normal_cutoff = cutoff/nyq
b, a = butter(order, normal_cutoff, btype='low', analog=False)
return b, a
def butter_lowpass_filter(data, cutoff, fs, order=5):
b, a = butter_lowpass(cutoff, fs, order=order)
y = lfilter(b, a, data)
return y
corrected_values_800 = [-0.76947910399999997, -1.007095104, -1.0556311039999999, -0.93497010399999991, -0.65326510399999993, -0.29980610400000002, -0.031438104000000008, 0.072425896000000003, -0.0016751040000000106, -0.29881810400000003, -0.67858310399999999, -0.91570410400000002, -0.95263110399999995, -0.81319810399999992, -0.52321910400000005, -0.10400000001, 0.112192896, 0.211981896, 0.14232689599999998, -0.13752510400000001, -0.50358210400000003, -0.73107010399999994, -0.78059410399999996, -0.66363910399999992, -0.39737110400000003, -0.037366104000000011, 0.23124789599999995, 0.33338289599999998, 0.25001989599999996, -0.026251104000000004, -0.414908104, -0.65042410399999995, -0.68377010399999993, -0.55224110400000004, -0.27597010399999999, 0.083540895999999989, 0.33511189599999996, 0.42440289599999997, 0.34733889599999995, 0.050812895999999996, -0.32413510400000001, -0.54754810399999998, -0.57965810399999995, -0.46640810400000005, -0.19260710400000003, 0.14948989600000001, 0.398591896, 0.49319289599999999, 0.40649589599999997, 0.12034389599999999, -0.26930110400000001, -0.52210710400000004, -0.57237210399999994, -0.46122110400000005, -0.17618110400000001, 0.17369689599999999, 0.42156289599999996, 0.50455489600000003, 0.42267389599999999, 0.12417289599999999, -0.26152010400000003, -0.49790110400000004, -0.55767510399999998, -0.435533104, -0.169512104, 0.17616689600000002, 0.42464989599999997, 0.51307689600000006, 0.42143889599999995, 0.12985389599999997, -0.25509810399999999, -0.50457010400000002, -0.56595010400000001, -0.49098510400000001, -0.20532710399999998, 0.15418289600000001, 0.40414889599999998, 0.50517289600000004, 0.42674989599999996, 0.12725989599999998, -0.26139710399999999, -0.50753410399999999, -0.547178104, -0.43738510400000002, -0.160497104, 0.18481189599999998, 0.42440289599999997, 0.53048989600000007, 0.45799589599999996, 0.16727489600000001, -0.20458610399999999, -0.44442510400000002, -0.490120104, -0.38292210400000004, -0.10924410400000001, 0.24742689599999995, 0.48763589599999996, 0.59149989600000008, 0.50974189600000008, 0.21494589599999997, -0.16988310400000001, -0.41058610400000001, -0.43874410400000002, -0.301041104, -0.0029101040000000106, 0.35042589599999996, 0.60347889600000004, 0.69042389599999998, 0.61138389599999998, 0.31522889599999998, -0.056756104000000009, -0.27214110400000002, -0.30548710400000001, -0.20063410399999998, 0.08564089599999998, 0.45614289599999996, 0.72129889600000008, 0.82256989600000008, 0.74711089600000002, 0.46503489599999998, 0.07724189599999999, -0.15740910400000002, -0.20199310400000003, -0.082444104000000004, 0.20691789599999999, 0.58174289600000006, 0.83664889600000003, 0.94421789600000006, 0.850604896, 0.56939289599999998, 0.19530889599999995, -0.045147104000000007, -0.090348104000000012, 0.025371895999999991, 0.285834896, 0.63089689599999998, 0.87518089600000004, 0.98126789600000008, 0.90210389600000007, 0.61372989600000005, 0.220996896, -0.032056104000000009, -0.087014104000000009, 0.01561589599999999, 0.28175989599999995, 0.64089989600000008, 0.88604889600000003, 0.98904889600000012, 0.90531489600000004, 0.59680989600000001, 0.20432489599999998, -0.030203104000000008, -0.081333104000000003, 0.025248895999999993, 0.28151289599999996, 0.63176089600000007, 0.858878896, 0.94360089599999997, 0.85739689600000002, 0.55234989600000006, 0.15245389599999998, -0.098993103999999998, -0.16963610400000001, -0.086396104000000001, 0.15899989599999997, 0.50060289600000007, 0.729820896, 0.799598896, 0.69598189600000004, 0.36882789599999999, -0.040454104000000005, -0.29918810400000001, -0.35241710400000004, -0.25806210400000001, -0.0068621040000000078, 0.337087896, 0.54642189600000002, 0.61039589599999999, 0.50146789600000008, 0.18975189599999998, -0.21780110400000002, -0.470607104, -0.54372010400000004, -0.46369110400000002, -0.209897104, 0.12886589599999998, 0.35894789599999999, 0.44811489599999993, 0.337952896, 0.017097895999999987, -0.38872610400000002, -0.63498710399999991, -0.69266210399999995, -0.58583310399999999, -0.32030710400000001, 0.012774895999999994, 0.24088089599999996, 0.32535589599999998, 0.24063389599999996, -0.063795104000000005, -0.44454910400000003, -0.69377310399999992, -0.74885510399999999, -0.65684610399999999, -0.40082910400000005, -0.05972010400000001, 0.18011889599999997, 0.26039389599999996, 0.181229896, -0.12035910400000001, -0.52025510399999997, -0.77528410399999992, -0.82172010399999995, -0.71674410399999999, -0.44479610400000003, -0.096276104000000001, 0.14158589599999999, 0.22766589599999998, 0.14207989599999998, -0.14728210400000002, -0.52074910399999996, -0.73773910399999998, -0.78034710399999996, -0.66104510399999994, -0.385268104, -0.012913104000000009, 0.24643889599999996, 0.35499589599999998, 0.28175989599999995, 0.0036358959999999996, -0.37884610400000002, -0.61288010399999993, -0.65289410399999992, -0.53544510400000001, -0.249911104, 0.12701289599999999, 0.39044089599999998, 0.48096689600000003, 0.40291389599999999, 0.11293389599999999, -0.26460810400000001, -0.49024410400000001, -0.52371310400000004, -0.42182410400000003, -0.13406710399999999, 0.20951189599999998, 0.46651689599999996, 0.57816189600000001, 0.49158789600000002, 0.19703789599999999]
# Filter requirements.
order = 6
fs = 1600 # sample rate, Hz
cutoff = 300 # desired cutoff frequency of the filter, Hz
# Get the filter coefficients so we can check its frequency response.
b, a = butter_lowpass(cutoff, fs, order)
# Filter the data, and plot both the original and filtered signals.
y = butter_lowpass_filter(corrected_values_800, cutoff, fs, order)
print(y)
master.minsize(width=450, height=600)
master.wm_title("Functional Tester")
start_button = Button(master, text='START', command=test_program)
start_button.place(x=230, y=180)
master.mainloop()
Und hier ist die Setup-Datei (es für das eigentliche Programm in dort einige zusätzliche Dinge ist):
import sys
import os
from cx_Freeze import setup, Executable
import cx_Freeze
import tkinter
import os.path
import scipy
base = None
if sys.platform == 'win32':
base = "Win32GUI"
PYTHON_INSTALL_DIR = os.path.dirname(os.path.dirname(os.__file__))
os.environ['TCL_LIBRARY'] = os.path.join(PYTHON_INSTALL_DIR, 'tcl', 'tcl8.6')
os.environ['TK_LIBRARY'] = os.path.join(PYTHON_INSTALL_DIR, 'tcl', 'tk8.6')
#os.environ['TCL_LIBRARY'] = r'C:\Users\matthew\Downloads\WinPython-64bit-3.5.3.0Qt5\python-3.5.3.amd64\tcl\tcl8.6'
#os.environ['TK_LIBRARY'] = r'C:\Users\matthew\Downloads\WinPython-64bit-3.5.3.0Qt5\python-3.5.3.amd64\tcl\tk8.6'
executables = [cx_Freeze.Executable("stacked_question.py", base=base)]
addtional_mods = ['numpy.core._methods', 'numpy.lib.format']
packages = ["idna", "numpy",]
options = {
'build_exe': {
'include_files':[
os.path.join(PYTHON_INSTALL_DIR, 'DLLs', 'tk86t.dll'),
os.path.join(PYTHON_INSTALL_DIR, 'DLLs', 'tcl86t.dll'),
os.path.dirname(scipy.__file__),
],
'includes': addtional_mods,
'packages':packages,
},
}
cx_Freeze.setup(
name = "Test",
options = options,
version = "0.01",
description = 'Tester',
executables = executables
)
Vielen Dank für jede Hilfe!