title: Plot time series with different timestamps and datetime.time format that goes over one day
body: <p>I have two datasets that contain temperature and light sensor readings. The measurements were done from 22:35:41 - 04:49:41.</p>
  
  <p>The problem with this datasets is to plot the measurements with respect to the datetime.date format when the measurements are taken from one day to another (22:35:41 - 04:49:41). The plot-function automatically starts from 00:00 and puts the data that was measured before 00:00 to the end of the plot.</p>
  
  <pre><code>import numpy as np 
  import pandas as pd
  import matplotlib.pyplot as plt
  import seaborn as sns
  
  Temperature = pd.read_excel("/kaggle/input/Temperature_measurement.xlsx")
  Light = pd.read_excel("/kaggle/input/Light_measurement.xlsx")
  
  sns.lineplot(x="Time",y="Light", data = Light)
  sns.lineplot(y="Temperature", x="Time", data = Temperature)
  plt.show()
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/93qrW.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/93qrW.jpg" alt="plotted data"></a></p>
  
  <p><a href="https://www.kaggle.com/bjoernjostein/temperature-and-light-data" rel="nofollow noreferrer">This is a link to the dataset</a></p>
  
  <p><a href="https://www.kaggle.com/bjoernjostein/starter-temperature-and-light-data" rel="nofollow noreferrer">Here is a link to the Jupyter Notebook</a></p>