![]() ![]() It's suitable for short periods: # get hourly historical interest However, that's not useful if you're seeking long-term trends. Let's plot the relative search difference between Python and Java over time: # plot itĪlternatively, we can use the get_historical_interest() method which grabs hourly data. The default of this parameter is 'today 5-y' meaning the last five years. timeframe: It is the time range of the data we want to extract, 'all' means all the data that is available on Google since the beginning, you can pass specific datetimes, or the minus patterns such as 'today 6-m' will return the latest six months data, 'today 3-d' will return the latest three days, and so on.You can also get data for provinces by specifying additional abbreviations such as 'GB-ENG' or 'US-AL'. geo: The two-letter country abbreviation to get searches of a specific country, such as US, FR, ES, DZ, etc.You can check this page for a list of category IDs or simply call pytrends.categories() method to retrieve them. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |