7/7/2023 0 Comments Pytrends![]() ![]() You may be interested in, which selects rows by label, as opposed to, which selects rows by integer: > interest_over_time_df. > interest_over_time_df.iloc # Give me row 4, value 0 > interest_over_time_df.iloc # Give me row 4 You can ignore isPartial for now: that field lets you know if the data point is complete for that particular date.Īt this point you can select data by column, by columns index, etc.: > interest_over_time_df You'll see an index column date on the left, as well as the four data columns apples, oranges, bananas, and isPartial. If you run print(interest_over_time_df) you will see something like this: apples oranges bananas isPartial Let's take this following bit of code, for example: kw_list = Pytrends returns pandas.DataFrame objects, and there are a number of ways to go about indexing and selecting data. Interest_over_time_df = pytrend.interest_over_time() Pytrend.build_payload(kw_list, cat=0, timeframe='today 3-m',geo='',gprop='') Only needed for interest_over_time(), interest_by_region()
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