Finding changes in search trend patterns

Search trends are not a static variable; in fact, they change and vary over time. We will get the results of the interest by region in the last 3 months and then we will look at changes in the results compared to the ones obtained over a period of 12 months:

1. To find the changes in search trends patterns, we will build the payload within a different timeframe.
2. Finally, we will store the results in a pandas DataFrame named regiondf_3m:

   #search interest per region

   pytrend = TrendReq()

   pytrend.build_payload(kw_list, timeframe='today 3-m')

   # Interest by Region

   regiondf_3m = pytrend.interest_by_region()

3. We need to remove the rows that don’t have results for the search terms specified:

   # #looking at rows where all values are not equal to 0

   regiondf_3m = regiondf_3m[regiondf_3m.sum(axis=1)!=0]

4. Now, we can visualize the results using the plot method of the pandas DataFrame:

   # visualize

   regiondf_3m.plot(figsize=(14, 8), y=kw_list...