[Tutor] Help need with finding method to filter with regex and modify different column with correct match foung

[Bharath Achar]

Hello,



Is there a direct python pandas method to match value of series and update different series with some string ? I couldn’t find any direct method of doing it.



Here the match is to find a value in a series that is made up of given set of keywords and one mandatory keyword.



Example :



Here’s the keywords table :



KW.head(5)



Case

kws

mand_kw

field_friendly_name

1

Full|name|nm|txt|dsc|[0-9]

full

Full Name

2

first|name|nm|txt|dsc|[0-9]

first

First Name

3

last|name|nm|txt|dsc|[0-9]

last

Last Name

4

legal|name|nm|txt|dsc|[0-9]

legal

Legal Name

5

nick|name|nm|txt|dsc|[0-9]

nick

Nick Name



Dataframe :



DF.head(14)



_id

field_name

field_friendly_name

purpose_of_use

is_included_in_report

1

fullname







2

Xyz







3

custname







4

fullnm







5

firstname







6

Abc







7

firstnm







8

fullname74







9

fullnm







10

legalname







11

legalnm







12

nickname







13

Pqr







14

nicknm









For each of kws from KW find match in field_name in DF that it is made up of only keywords specified in kws and not any other words and a mandatorily should have a mand_kw keyword.



For example :



Case1:



Find all field_name that is only made up of keyword “Full|name|nm|txt|dsc|[0-9]” if so, assign field_friendly_name of KW - “Full Name” to field_friendly_name in DF and update is_included_in_report as true.

If the value is not made of these keywords, then skip.





_id

field_name

field_friendly_name

purpose_of_use

is_included_in_report

1

fullname

Full Name



TRUE

4

fullnm

Full Name



TRUE

8

fulldsc74

Full Name



TRUE

9

fulltxt

Full Name



TRUE





Regards,

Bharath Achar











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Thanks,
Bharath Achar
Sr. Storage and Backup Consultant

Intel India pvt ltd, Bangalore.
Cell  ::  + 91 7259670196

Bharath_achar at outlook.com<mailto:Milind.Padelkar at lntinfotech.com>
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