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Tag: python

Calculate TimeDiff in Pandas based on a column values

Having a dataframe like that: Desirable result is to get aggregated IDs with time diffs between Start and End looking like that: Tried simple groupings and diffs but it does not work: How this task can be done in pandas? Thanks! Answer A possible solution is to join the table on itself like this: Output:

installing h3 python library on AWS Redshift for usage in an UDF

I was trying to install the python library from ubers H3 as a custom library for aws redshift by using this for the installation. I followed the process and created the following function: When executing it with: I receive the following error: OSError: /rdsdbdata/user_lib/0/0/1334190.zip/h3/out/libh3.so.1: cannot open shared object file: Not a directory Tried the same with installing h3cy on redshift

Improve SQL query to find range between start and end date

I’m working with a database called international_education from the world_bank_intl_education dataset of bigquery-public-data. My aim is to plot a line graph with countries who have had the biggest and smallest change in Population growth (annual %) (one of the indicator_name values). I have done this below using two partitions finding the first and last value of the year by each

sqlalchemy concat with more than 2 elements on Oracle DB

considering the following table definition I create a select-statement using the sqlalchemy.sql.functions.concat with 3 statements using the query is generated. However, when I run this, the exception ORA-00909: invalid number of arguments is thrown. This is because CONCAT (https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions026.htm) only allows 2 Arguments. My workaround for now ist to use concat inside of concat, which works However, this makes the

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