I would like to get the numerical values from different queries once plotted Google trends using Python 3.
I am using three different queries (e.g. 'cat', 'dog', 'bird') and I would like to find similarity in their trends once plotted. I would prefer to not download the file from Google Trend.
totalTrend = TrendReq(hl='en', tz=360) kw_list = ["cat", "dog", "bird"] _cat = 0 _geo = '' _gprop = '' # Build payload request to get data from Google trends _timeframe = '2018-01-01 2019-06-03' totalTrend.build_payload(kw_list, cat=_cat, timeframe=_timeframe, geo=_geo, gprop=_gprop) totalTrend = totalTrend.interest_over_time() # Print the maximum value # print(kw_list[i], max(totalTrend[i]) for i in kw_list()) #, max(totalTrend[kw_list])) totalTrend.plot(title='Google Trends Monthly Data Points', figsize=(20,10)) print(totalTrend.plot)
What I would like to do is to extract numerical values corresponding to a specific date or range. For example, in corresponding of the peaks, I would like to find: x = 27th May and y = 89. Thank you for your time. I hope you can help me to better understand if it is possible or not to do something like this.