title: How do I work with the results of pytrends?
body: <p>so I'm new to python and ran into a problem using pytrends. I'm trying to compare 5 search terms and store the sum in a CSV.</p>
  
  <p>The problem I'm having right now is I can't seem to isolate an individual element returned. I have the data, I can see it, but I can't seem to isolate an element to be able to do anything meaningful with it.</p>
  
  <p>I found elsewhere a suggestion to use iloc, but that doesn't return anything for what's shown, and if I pass only one parameter it seems to display everything.</p>
  
  <p>It feels really dumb, but I just can't figure this out, nor can I find anything online. </p>
  
  <pre><code>from pytrends.request import TrendReq
  import csv
  import pandas
  import numpy
  import time
  
  # Login to Google. Only need to run this once, the rest of requests will use the same session.
  pytrend = TrendReq(hl='en-US', tz=360)
  
  with open('database.csv',"r") as f:
      reader = csv.reader(f,delimiter = ",")
      data = list(reader)
      row_count = len(data)
      comparator_string = data[1][0] + " opening"
  print("comparator: ",comparator_string,"\n")
  
  #Initialize search term list including comparator_string as the first item, plus 4 search terms
  kw_list=[]
  kw_list.append(comparator_string)
  
  for x in range(1, 5, 1):
          search_string = data[x][0] + " opening"
          kw_list.append(search_string)
  
  # Create payload and capture API tokens. Only needed for interest_over_time(), interest_by_region() &amp; related_queries()
  pytrend.build_payload(kw_list, cat=0, timeframe='today 3-m',geo='',gprop='')
  
  # Interest Over Time
  interest_over_time_df = pytrend.interest_over_time()
  #time.sleep(randint(5, 10))
  
  #printer = interest_over_time_df.sum()
  printer = interest_over_time_df.iloc[1,1]
  print("printer: \n",printer)
  </code></pre>