title: How do I get rid of italics in Ipython Pandas and get plain text?
body: <p>I am saving text to csv file in Python 3.
  Text is clean and does not have any tags.
  Here is how it looks in Notepad:
  <a href="https://i.stack.imgur.com/mLpNg.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/mLpNg.png" alt="enter image description here"></a></p>
  
  <p>Here is my text bulb:</p>
  
  <pre><code>  unicodedata.normalize('NFKD',' '.join(i[1:-1]) 
  ).encode('ascii','ignore').decode()
  </code></pre>
  
  <p>Here is how I save it:</p>
  
  <pre><code>def save(filename, data):
      with open(r"path to file\{}.csv".format(filename),"a",encoding="utf-8"  ) as f:
          w = csv.DictWriter(f, [coulm names],lineterminator="\n")
          w.writeheader()
          w.writerows(data[:10])
  </code></pre>
  
  <p>When I open file in Ipython Pandas as DataFrame I can see different styling of text like this:
  <a href="https://i.stack.imgur.com/5hD0M.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/5hD0M.png" alt="enter image description here"></a></p>
  
  <p>How do I get rid of it and make all text look the same?
  P.S. everything looks fine in gsheets:
  <a href="https://i.stack.imgur.com/nvqqX.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/nvqqX.png" alt="enter image description here"></a>
  PS. I use the follofing command in pandas:</p>
  
  <pre><code>data_full = pd.read_csv("restaurant_menu_with_entryurl_full.csv", encoding = 'utf8')
  </code></pre>
  
  <p>PS. Also if I select single column view in pandas the text looks uniform.
  <a href="https://i.stack.imgur.com/1Rcl3.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/1Rcl3.png" alt="enter image description here"></a></p>