Pytrends get_daily_data各列含义解析请求（附代码）

Hey there! I totally get how confusing those Pytrends columns can be when you're just starting out. Let me break down each one from your blockchain data pull clearly:

Since you're fetching daily data for the keyword blockchain, the columns will all use that keyword as a prefix. Here's what each one does:

• date: The timestamp for each row, formatted as YYYY-MM-DD. This represents the specific day the search heat data corresponds to.
• blockchain: This is the normalized daily search popularity score (range 0-100). Pytrends takes Google's monthly 0-100 popularity score, splits it into daily estimates, then re-normalizes the values so the highest daily value in the entire date range is set to 100, and all other days are scaled relative to that peak. It’s great for seeing relative daily trends across your entire time frame.
• blockchain_unscaled: This is the un-normalized daily search estimate. Instead of scaling to a 0-100 range across months, this value directly distributes the monthly total search volume proportionally to each day. The numbers here aren’t capped at 100, so you can compare absolute search volume trends across different months more directly.
• blockchain_monthly: This is the original Google Trends monthly popularity score (0-100) for the month that each date falls into. It’s the baseline value that Pytrends uses to split into daily estimates.
• isPartial: A boolean value (True/False). If True, the month corresponding to that date wasn’t complete when the data was fetched (e.g., if you pulled data mid-month), so the daily estimates for that month might be less accurate. If False, the monthly data was fully finalized by Google, so the daily splits are reliable.

内容的提问来源于stack exchange，提问作者P.Gupta