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- python pandas, DF. groupby(). agg(), column reference in agg()
agg is the same as aggregate It's callable is passed the columns ( Series objects) of the DataFrame , one at a time You could use idxmax to collect the index labels of the rows with the maximum count:
- How to use . agg method to calculate the column average in pandas
df["one"] agg("mean") df agg({"one": "mean"}) df["one"] agg(np mean) df agg({"one": np mean}) Looking at the source code, it appears that when you use average it's casting the DataFrame to be a numpy array, and then mean is taking the row-wise averages by default Because in the base case (no weights) average actually calls mean See
- Get unique values using STRING_AGG in SQL Server
Another possibility to get unique strings from STRING_AGG would be to perform these three steps after fetching the comma separated string: Split the string (STRING_SPLIT) Select DISTINCT from the splits; Apply STRING_AGG again to a select with a group on a single key; Example:
- Aggregating in pandas groupby using lambda functions
data = data groupby(['type', 'status', 'name']) agg( ) If you don't mention the column (e g 'value'), then the keys in dict passed to agg are taken to be the column names The KeyErrors are Pandas' way of telling you that it can't find columns named one, two or test2 in the DataFrame data Note: Passing a dict to groupby agg has been
- sql - How to sort the result from string_agg() - Stack Overflow
If I execute string_agg() on tblproducts: SELECT string_agg(product, ' | ') FROM "tblproducts" It will return the following result: CANDID POWDER 50 GM | ESOZ D 20 MG CAP | HHDERM CREAM 10 GM | CREAM 15 GM | KZ LOTION 50 ML | BUDECORT 200 Rotocap How can I sort the aggregated string, in the order I would get using ORDER BY product?
- python - Pandas, . agg(sum) vs . sum() - Stack Overflow
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