title: How to plot data in format HH:MM:SS greater than 24H useing seaborn package
body: <p>is there a method to format the x-axis in HH:MM:SS format? My data is measurements at an interval of 5 minutes for 72H. I would like the x-axis description to represent only 00:00:00, 12:00:00, 24:00:00, 36:00:00, 48:00:00, 60:00:00, 72:00:00. The result increases with each measurement</p>
  <pre><code>import pandas as pd
  import seaborn as sns
  import matplotlib.pyplot as plt
  act = pd.read_csv('act pH 1-10.xlsx.csv')
  g = sns.lineplot(x='Time', y='YAKE_1 pH7',  data=act)
  plt.show()
  
  # example of df 
  
  | Time | YAKE_1 pH7 |
  | --- | --- |
  | 24:00:00 | 0,598 |
  | 24:10:00 | 0,624 |
  | 24:20:00 | 0,625 |
  | 24:30:00 | 0,645 |
  ........
  | Time | YAKE_1 pH7 |
  | --- | --- |
  | 71:50:00 | 1,625 |
  | 72:00:00 | 1,645 |
  </code></pre>
  <p>output of plot</p>
  <p><img src="https://i.stack.imgur.com/cz9Q3.png" alt="enter image description here" /></p>