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Showing posts with the label Split

Split String By Two Conditions - Wildcard

I need to split a string by a charcter plus a wildcard character: text1 = 'CompanyA-XYZ-257999_… Read more Split String By Two Conditions - Wildcard

Convert String Of Numbers To List Of Numbers

l='2,3,4,5,6' expecting: [2,3,4,5,6] In python how can I convert into the above format t… Read more Convert String Of Numbers To List Of Numbers

Find The Sub-string After Nth '|'

Given a string as follows: 1|2||||auc|0|1||0|||76u| ^ what is the most efficient way to ret… Read more Find The Sub-string After Nth '|'

Convert Python String With Newlines And Tabs To Dictionary

I'm a bit stuck with this particular problem I'm having. I have a working solution, but I d… Read more Convert Python String With Newlines And Tabs To Dictionary

Split And Replace In One Dataframe Based On A Condition With Another Dataframe In Pandas

I have two dataframes and both contains sql table. This is my first Dataframe Original_Input … Read more Split And Replace In One Dataframe Based On A Condition With Another Dataframe In Pandas

Python 3: Split Concatenated Xml Files

I have one large text file that consists of concatenated XML files (I will call each of them an … Read more Python 3: Split Concatenated Xml Files