问Pyplot绘制索引，而不是数据帧的值

EN

from scipy import fftpack
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
import csv
temp = []
samplerate = 1000

with open('C:/Users/sword/Anaconda3/envs/exceltest/RF_SubjP02_Free_STATIC_TR02.csv', 'r') as csvfile:
  csvreader = csv.reader(csvfile, delimiter=',')
  for row in csvreader:
     if csvreader.line_num == 3:
         temp.append(row)
     if csvreader.line_num >= 6:
        if row:
            temp.append(row)
        else:
            break
df = pd.DataFrame(temp) #turns the array into a dataframe
df.columns = df.iloc[0] #sets the column names as the first row
df = df.drop(0) #drops the first row since it is now a duplicate of the column names 
emg1 = df['Noraxon Desk Receiver - EMG1']
horiz = np.arange(0,len(emg1)/samplerate,1/samplerate) #getting the time domain in seconds

emgfft = fftpack.fft(emg1, horiz.size)  #fft of the emg
emgfftabs = np.abs(emgfft) #absolute value of the fft values
xf = fftpack.fftfreq(horiz.size, (len(emg1) / samplerate) / samplerate) #frequency range

plt.figure()
plt.subplot(1,2,1)
plt.plot(horiz, emg1) #tried this one and the one below with the same result, both gave the wrong curved graph from the first picture
plt.plot(df['Noraxon Desk Receiver - EMG1']) #I didn't use both at the same time
ticks = plt.yticks(df['Noraxon Desk Receiver - EMG1'].values[::100]) #this is just here to make it readable, otherwise the y labels are a solid black bar

plt.subplot(1,2,2)
plt.plot(xf[0:len(xf)//2],2*emgfftabs[0:len(emgfftabs)//2])
plt.show()