title: Plot data from a csv file in a spesific intervall
body: <p>I am trying to plot data from a csv-file where the y-axis represents resistance and the x-axis time. But I dont want to plot all of the data, only the data that start at 2022-02-21 10:44:00 and end at 2022-02-21 10:54:00 Here's a sample of the data:</p>
  <pre><code>    timestamp               resistance
  2022-02-21 10:44:35.792893  10460.5248
  2022-02-21 10:44:35.822877  10460.5048
  2022-02-21 10:44:35.842826  10460.48
  2022-02-21 10:44:35.872597  10460.4776
  2022-02-21 10:44:35.892827  10460.4512
  2022-02-21 10:44:35.922595  10460.4288
  </code></pre>
  <p>Here is the code and i think it will work but i keep getting (ValueError: time data = doesn't match format specified), and i dont know how to fix it. I think that the timestamp is in string since it when i try to plot the data the plot gets messed up. so i think that i need to convert the timestamp data to maybe datetime first.</p>
  <pre><code>from sqlite3 import Timestamp
  import pandas as pd
  import matplotlib.pyplot as plt
  import csv
  import numpy as np
  from datetime import datetime
  
  dt_format='%Y-%m-%d %H:%M:%S.%f'
  
  
  data=pd.read_csv('data_keithley1.csv')
  start = '2022-02-21 10:45:00.462227'
  end = '2022-02-21 10:56:00.004844'
  
  data['timestamp'] =  pd.to_datetime(data['timestamp'], format=dt_format)
  timestamps = list(data['timestamp'])
  values = list(data['resistance'])
  
  
  start_index = timestamps.index(start)
  end_index = timestamps.index(end)
  
  sub_timestamps = timestamps[start_index : end_index]
  sub_values = values[start_index : end_index]
  
  plt.plot(sub_timestamps, sub_values, label='Motstand [ohm]')
  plt.xlabel('time [hh:mm:ss]')
  plt.ylabel('Mot [ohm]')
  plt.subplots_adjust(bottom=0.35)
  _, labels = plt.xticks()
  plt.setp(labels, rotation=45)
  plt.show()
  </code></pre>