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Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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title, description, keywords
title description keywords
eval This page provides information about the 'eval' function for creating custom data columns using mathematical expressions supported by pandas.eval(). It exemplifies case sensitivity and the use of queries on loaded datasets.
eval function
custom data column
pandas.eval
mathematical expressions
datasets
case sensitive
query
DGS2
DGS5

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

Create custom data column from loaded datasets. Can be mathematical expressions supported by pandas.eval() function. Example. If I have loaded fred DGS2,DGS5 and I want to create a new column that is the difference between these two, I can create a new column by doing eval spread = DGS2 - DGS5. Notice that the command is case sensitive, i.e., DGS2 is not the same as dgs2.

Usage

eval [-q QUERY [QUERY ...]]

Parameters

Name Description Default Optional Choices
query Query to evaluate on loaded datasets None False None