Help with code, RMS, FFT

[nedsar85]

Hi all,
maybe you can help me where is problem with this code.

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from scipy.fftpack import fft
import tkinter as tk
from tkinter import filedialog
 
#Prompt user for file
root = tk.Tk()
root.withdraw()
file_path = filedialog.askopenfilename(filetypes=[("Two Column CSV","*.csv")])
print(file_path)
 
#Load Data (assumes two column array
df = pd.read_csv(file_path,delimiter=',',header=None,names=["time","data"])
t = df["time"]
x = df["data"]
 
#Determine variables
N = np.int(np.prod(t.shape))#length of the array
N2 = 2**(N.bit_length()-1) #last power of 2
Fs = 1/(t[1]-t[0])  #sample rate (Hz)
T = 1/Fs;
print("# Samples:",N)
print("Next power of 2:",N2)
 
#Plot Data
plt.figure(1)  
plt.plot(t, x)
plt.xlabel('Time (seconds)')
plt.ylabel('Accel (g)')
plt.title(file_path)
plt.grid()
 
#Compute RMS and Plot
w = np.int(np.floor(Fs)); #width of the window for computing RMS
steps = np.int_(np.floor(N/w)); #Number of steps for RMS
t_RMS = np.zeros((steps,1)); #Create array for RMS time values
x_RMS = np.zeros((steps,1)); #Create array for RMS values
for i in range (0, steps):
    t_RMS[i] = np.mean(t[(i*w):((i+1)*w)]);
    x_RMS[i] = np.sqrt(np.mean(x[(i*w):((i+1)*w)]**2));  
plt.figure(2)  
plt.plot(t_RMS, x_RMS)
plt.xlabel('Time (seconds)')
plt.ylabel('RMS Accel (g)')
plt.title('RMS - ' + file_path)
plt.grid()
 
#Compute and Plot FFT
plt.figure(3)  
N = N2 #truncate array to the last power of 2
xf = np.linspace(0.0, 1.0/(2.0*T), N/2)
yf = fft(x, n = N)
plt.plot(xf, 2.0/N * np.abs(yf[0:np.int(N/2)]))
plt.grid()
plt.xlabel('Frequency (Hz)')
plt.ylabel('Accel (g)')
plt.title('FFT - ' + file_path)
plt.show()

I got this:

Error:
PS C:\Users\Frohr> conda activate base
PS C:\Users\Frohr> & C:/ProgramData/Anaconda3/python.exe "c:/Users/Frohr/Můj disk/VIBRO GUARD/Python/FFT.py"
C:/Users/Frohr/Desktop/piezo_100Hz.csv
c:\Users\Frohr\Můj disk\VIBRO GUARD\Python\FFT.py:20: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.       
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  N = np.int(np.prod(t.shape))#length of the array
# Samples: 300013      
Next power of 2: 262144
c:\Users\Frohr\Můj disk\VIBRO GUARD\Python\FFT.py:36: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.       
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
  w = np.int(np.floor(Fs)); #width of the window for computing RMS
Traceback (most recent call last):
  File "c:\Users\Frohr\Můj disk\VIBRO GUARD\Python\FFT.py", line 54, in <module>
    yf = fft(x, n = N)
  File "C:\ProgramData\Anaconda3\lib\site-packages\scipy\fftpack\basic.py", line 87, in fft
    return _pocketfft.fft(x, n, axis, None, overwrite_x)
  File "C:\ProgramData\Anaconda3\lib\site-packages\scipy\fft\_pocketfft\basic.py", line 17, in c2c
    tmp = _asfarray(x)
  File "C:\ProgramData\Anaconda3\lib\site-packages\scipy\fft\_pocketfft\helper.py", line 97, in _asfarray
    copy = not x.flags['ALIGNED']
  File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\flags.py", line 98, in __getitem__
    raise KeyError(key)
KeyError: 'ALIGNED'

I added second / for N/2 in code. xf = np.linspace(0.0, 1.0/(2.0*T), N//2)
and now another error on line 54...

Thank you for any advice.