I am trying to plot a .txt file of lines of the form: filename.txt date magnitude V098550.txt 362.0 3.34717962317 but I am getting the error "numpy.float64' object has no attribute 'replace'". Does anyone know if this is a syntax error with numpy, or how I can resolve my issue?

import numpy as np
import matplotlib.pyplot as plt
x, y = np.loadtxt ("condensed.txt", usecols=(1, 2),        
delimiter=",", unpack=True)
for ii in range (len(x)): x[ii].replace('.txt', '.lc\n') jd, npmag = np.loadtxt ("/net/jovan/export/jovan/oelkerrj/Vela/rotation/Vela/"+x[ii], usecols= (1, 2), unpack=True)
    plt.scatter (jd, npmag)
    plt.xlabel ('Time')
    plt.ylabel ('Mag')
    plt.ylim ([max (npmag), min (npmag)])
    plt.show() # aftertest comment this out
    fileName = x[ii][:-3] + ".png"
    plt.savefig(fileName)

print "done"

I have a column filled with ints however whenever I try to run the quantile function on this column I keep getting the above error. Also min and max functions are not returning correct values. Any suggestions

I am trying to do a spectral flux analysis of an .wav input signal and I am getting this error and I don't know how to fix it. The code is:

! The errors are fixed now and the solutions are added as comments. Thank you all for the help ^

import numpy as np

from numpy.lib import stride_tricks


def stft(sig, frameSize, overlapFac=0.5, window=np.hanning):
    from numpy.lib import stride_tricks
    win = window(frameSize)
    hopSize = int(frameSize - np.floor(overlapFac * frameSize))

    # zeros at beginning (thus center of 1st window should be for sample nr. 0)
    samples = np.append(np.zeros(np.floor(frameSize/2.0)), sig)
    #fix error:samples = np.append(np.zeros(int(np.floor(frameSize/2.0))), sig)
# cols for windowing
    #fix error:cols = int(np.ceil( (len(samples) - frameSize) /float(hopSize))+1)
    cols = np.ceil( (len(samples) - frameSize) / float(hopSize)) + 1
    # zeros at end (thus samples can be fully covered by frames)
    samples = np.append(samples, np.zeros(frameSize))

    frames = stride_tricks.as_strided(samples, shape=(cols, frameSize), strides=(samples.strides[0]*hopSize, samples.strides[0])).copy()
    frames *= win

    return np.fft.rfft(frames)

spectral flux function:

def spectral_Flux(wavedata, window_size, sample_rate):
    # convert to frequency domain
    magnitude_spectrum = stft(wavedata, window_size)
    timebins, freqbins = np.shape(magnitude_spectrum)

    # when do these blocks begin (time in seconds)?
    timestamps = (np.arange(0,timebins - 1) * (timebins / float(sample_rate)))

    sf = np.sqrt(np.sum(np.diff(np.abs(magnitude_spectrum))**2, axis=1)) / freqbins

    return sf[1:] #, np.asarray(timestamps)

the Error:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-157-54c4d632ffbf> in <module>
----> 1 sFlux=spectral_Flux(data,512,fs)

<ipython-input-156-f14509755e4e> in spectral_Flux(wavedata, window_size, sample_rate)
      1 def spectral_Flux(wavedata, window_size, sample_rate):
      2     # convert to frequency domain
----> 3     magnitude_spectrum = stft(wavedata, window_size)
      4     timebins, freqbins = np.shape(magnitude_spectrum)
      5 

<ipython-input-155-b145f5690a25> in stft(sig, frameSize, overlapFac, window)
     11 
     12     # zeros at beginning (thus center of 1st window should be for sample nr. 0)
---> 13     samples = np.append(np.zeros(np.floor(frameSize/2.0)), sig)
     14     # cols for windowing
     15     cols = np.ceil( (len(samples) - frameSize) / float(hopSize)) + 1

TypeError: 'numpy.float64' object cannot be interpreted as an integer

The seccond error:

TypeError                                 Traceback (most recent call last)
<ipython-input-193-54c4d632ffbf> in <module>
----> 1 sFlux=spectral_Flux(data,512,fs)

<ipython-input-192-f14509755e4e> in spectral_Flux(wavedata, window_size, sample_rate)
      1 def spectral_Flux(wavedata, window_size, sample_rate):
      2     # convert to frequency domain
----> 3     magnitude_spectrum = stft(wavedata, window_size)
      4     timebins, freqbins = np.shape(magnitude_spectrum)
      5 

<ipython-input-191-0ee2f8ea37ed> in stft(sig, frameSize, overlapFac, window)
     17     samples = np.append(samples, np.zeros(frameSize))
     18 
---> 19     frames = stride_tricks.as_strided(samples, shape=(cols, frameSize), strides=(samples.strides[0]*hopSize, samples.strides[0])).copy()
     20     frames *= win
     21 

C:\ProgramData\Anaconda3\lib\site-packages\numpy\lib\stride_tricks.py in as_strided(x, shape, strides, subok, writeable)
     99         interface['strides'] = tuple(strides)
    100 
--> 101     array = np.asarray(DummyArray(interface, base=x))
    102     # The route via `__interface__` does not preserve structured
    103     # dtypes. Since dtype should remain unchanged, we set it explicitly.

C:\ProgramData\Anaconda3\lib\site-packages\numpy\core\_asarray.py in asarray(a, dtype, order)
     81 
     82     """
---> 83     return array(a, dtype, copy=False, order=order)
     84 
     85 

TypeError: 'numpy.float64' object cannot be interpreted as an integer