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Conditional dataframe manipulation by row

score 63 · Answer 1 · 2022-12-27T19:15:36.600000

63

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Conditional dataframe manipulation by row

Published on 27 December 2022 at 19:15

score 58 · Answer 2 · 2022-12-16T14:44:15.973000

58

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Published on 16 December 2022 at 14:44

score 54 · Answer 3 · 2022-08-08T20:29:15.187000

54

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Published on 08 August 2022 at 20:29

score 2.1k · Answer 4 · 2021-11-12T06:32:13.130000

2.1k

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score 77 · Answer 5 · 2021-10-26T23:49:38.927000

77

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score 207 · Answer 6 · 2021-04-19T03:57:34.523000

207

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score 630 · Answer 7 · 2021-04-01T14:05:11.870000

630

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Published on 01 April 2021 at 14:05

score 584 · Answer 8 · 2020-12-12T19:58:30.840000

584

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Published on 12 December 2020 at 19:58

score 256 · Answer 9 · 2020-08-26T22:45:03.463000

256

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score 153 · Answer 10 · 2019-12-10T22:30:18.783000

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Published on 10 December 2019 at 22:30

score 144 · Answer 11 · 2019-10-02T13:42:39.480000

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score 1.7k · Answer 12 · 2019-06-18T18:09:37.637000

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score 280 · Answer 13 · 2018-08-13T12:45:36.253000

280

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score 1.8k · Answer 14 · 2018-06-19T10:45:41.940000

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score 13.6k · Answer 15 · 2018-05-26T00:18:17.143000

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score 1.1k · Answer 17 · 2018-03-26T08:21:39.137000

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Published on 26 March 2018 at 08:21

score 195 · Answer 18 · 2018-03-23T22:09:43.990000

195

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Published on 23 March 2018 at 22:09

score 289 · Answer 19 · 2017-04-19T10:57:07.823000

289

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Published on 19 April 2017 at 10:57

score 963 · Answer 20 · 2017-03-08T12:16:59.687000

963

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List Question

Conditional dataframe manipulation by row

It looks like a List but I can't index into it: ValueError: Length of values (2) does not match length of index (279999)

I'm getting memory address instead of values using dfply mutate + custom function

Groupby a column and then compare two other columns and return a value in a different column

Creating user defined function for joins (Python)

Error when creating a function using dfply @dfpipe

group_by ModuleNotFoundError: No module named 'dfply.group'; 'dfply' is not a package

Create a column with ranges, Python

How can I group_by and sum values in a data frame?

How to use customized function in dfply package in python

How can I use the mask command to include more than one parameter?

Python equivalent to dplyr's ifelse

How to use conditionnal statement with startswith() on Python - dfply?

Python dfply: unable to mask on multiple conditions

Converting R code into python code

Python dfply package - Joins

dfply - Python - X name is undefined

Python dfply Package join data by two columns

dfply.mutate does not work with pandas.to_datetime

dfply: Mutating string column: TypeError

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