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Question

apply custom function on pandas dataframe on a rolling window

score 2118 · Answer 1 · 2015-06-12T15:29:11.487000

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2118

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apply custom function on pandas dataframe on a rolling window

2.1k views Asked by comte At 12 June 2015 at 15:29

score 870 · Answer 2 · 2016-12-31T07:17:40.650000

pandas "cumulative" rolling_corr

870 views Asked by math_enthusiast At 31 December 2016 at 07:17

score 10091 · Answer 3 · 2017-08-31T21:56:24.900000

Applying lambda function to a pandas rolling window series

10k views Asked by Max Power At 31 August 2017 at 21:56

score 1012 · Answer 4 · 2017-09-03T22:27:17.507000

Compute 5 different rolling-means of each stock in large df

1k views Asked by J Westwood At 03 September 2017 at 22:27

score 190 · Answer 5 · 2017-09-04T10:59:38.623000

Build a data frame with overlapping observations

190 views Asked by PatrickD At 04 September 2017 at 10:59

score 211 · Answer 6 · 2017-09-12T02:53:40.807000

Error Msg: replace with Series.rolling(window=5).corr(other=<Series>)

211 views Asked by NewCoder At 12 September 2017 at 02:53

score 181 · Answer 7 · 2020-09-27T14:14:24.280000

How to show missing dates in case of application of rolling function

181 views Asked by AnilGoyal At 27 September 2020 at 14:14

score 112 · Answer 8 · 2020-10-01T09:29:40.063000

How to parallelize rollapply?

112 views Asked by Alex Rohrer At 01 October 2020 at 09:29

score 111 · Answer 9 · 2020-09-30T09:05:39.310000

Pandas mean of the same elements

111 views Asked by Nihilum At 30 September 2020 at 09:05

score 362 · Answer 10 · 2020-10-03T20:15:41.607000

Pandas rolling window: developing rule based on window values

362 views Asked by Brenton At 03 October 2020 at 20:15

score 503 · Answer 11 · 2020-10-06T02:14:03.037000

Pandas sum of last four not nan values

503 views Asked by gerscorpion At 06 October 2020 at 02:14

score 113 · Answer 12 · 2020-10-05T11:36:10.013000

R/data.table: Partial rolling join

113 views Asked by JDG At 05 October 2020 at 11:36

score 328 · Answer 13 · 2020-10-06T07:54:15.720000

Rolling multiple regressions with panel data

328 views Asked by j_t At 06 October 2020 at 07:54

score 292 · Answer 14 · 2020-10-09T06:56:56.187000

why rolling apply is so slow?

292 views Asked by nick At 09 October 2020 at 06:56

score 207 · Answer 15 · 2020-10-09T15:42:58.153000

Having trouble using rolling on a dataframe without using apply, which is slow

207 views Asked by Spoony Bard At 09 October 2020 at 15:42

score 122 · Answer 16 · 2020-10-10T15:41:42.117000

Why does pd.rolling and .apply() return multiple outputs from a function returning a single value?

122 views Asked by Vichtor At 10 October 2020 at 15:41

score 285 · Answer 17 · 2020-10-09T21:27:05.920000

rolling function with variable width R

285 views Asked by Marco De Virgilis At 09 October 2020 at 21:27

score 650 · Answer 18 · 2020-10-12T16:04:15.567000

non fixed rolling window

650 views Asked by Anouar At 12 October 2020 at 16:04

score 171 · Answer 19 · 2020-10-11T21:36:49.487000

Sliding windows: compare series with all series before/after

171 views Asked by Thomas Speidel At 11 October 2020 at 21:36

score 190 · Answer 20 · 2020-10-15T14:05:39.360000

Pandas Rolling Window : Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe'

190 views Asked by Abhishek Malik At 15 October 2020 at 14:05

TechQA.

List Question

apply custom function on pandas dataframe on a rolling window

pandas "cumulative" rolling_corr

Applying lambda function to a pandas rolling window series

Compute 5 different rolling-means of each stock in large df

Build a data frame with overlapping observations

Error Msg: replace with Series.rolling(window=5).corr(other=<Series>)

How to show missing dates in case of application of rolling function

How to parallelize rollapply?

Pandas mean of the same elements

Pandas rolling window: developing rule based on window values

Pandas sum of last four not nan values

R/data.table: Partial rolling join

Rolling multiple regressions with panel data

why rolling apply is so slow?

Having trouble using rolling on a dataframe without using apply, which is slow

Why does pd.rolling and .apply() return multiple outputs from a function returning a single value?

rolling function with variable width R

non fixed rolling window

Sliding windows: compare series with all series before/after

Pandas Rolling Window : Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe'

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