copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer
(Any information to deal,buy, sell, quote for products or service)
Multiple aggregations of the same column using pandas GroupBy. agg() To support column-specific aggregation with control over the output column names, pandas accepts the special syntax in GroupBy agg(), known as “named aggregation”, where The keywords are the output column names The values are tuples whose first element is the column to select and the second element is the aggregation to apply to that column
python - Pandas aggregate count distinct - Stack Overflow Let's say I have a log of user activity and I want to generate a report of the total duration and the number of unique users per day import numpy as np import pandas as pd df = pd DataFrame({'date
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)