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Why do you need a r' '- a literal in a module re. Is it necessary?

Y
yajahira last edited by
Module doculation https://docs.python.org/3/library/re.html There are examples of the use of patters, both in the ordinary line of "and specific r" - the line:
```
import re
m = re.search('(?<=abc)def', 'abcdef')
m.group(0)
```
and
```
m = re.search(r'(?<=-)\w+', 'spam-egg')
m.group(0)
```
Are they different at work and when they need to be used?
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1 Reply Last reply
Bogopo last edited by

The answer is at the top of the page:
The solution is to use Python’s raw string notation for regular expression patterns; backslashes are not handled in any special way in a string literal prefixed with 'r'♪ So... r"\n" is a two-character string containing '\' and 'n', while "\n" is a one-character string containing a newline. Usually patterns will be expressed in Python code using this raw string notation.
Short: r- lines do not need to be screened (e.g. \the usual. r"\n" It's two symbols-- \ and n♪ "\n" - One symbol (translation of lines).
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What does %% and %any% function in r?
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The function %% is the module function, in the sense of modular arithmetic. Note that the result 17 %% 3 It is 2, 17 = 3*5 + 2. Also, see that the result 17 %/% 3 is 5, complementing the result of %%. Therefore, the functions %% and %/% serve to realize the entire division within the R.The function %>%, also called pipe, serves to chain commands. Maybe the package that best does that is dplyr. Imagine that I want to take the dataset iris and perform some operations in it:head(iris) Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.1 3.5 1.4 0.2 setosa 2 4.9 3.0 1.4 0.2 setosa 3 4.7 3.2 1.3 0.2 setosa 4 4.6 3.1 1.5 0.2 setosa 5 5.0 3.6 1.4 0.2 setosa 6 5.4 3.9 1.7 0.4 setosa Supposing I want to select only columns Petal.Length and Petal.Width, whose Sepal.Length be greater than 5, but only of the Seposa species. I can do this in R like this:subset(iris[iris$Sepal.Length > 5, c(3, 4, 5)], Species=="setosa") Note how complicated syntax is. Although they do the right work, the functions subset and searches for indices by R They're not very friendly. See how it gets easier with pipe:iris %>% filter(Sepal.Length > 5) %>% filter(Species == "setosa") %>% select(Petal.Length, Petal.Width, Species) With pipe I'll chain commands. I get the result of the set iris and step to filtering according to the Sepal.Length > 5; then take this result and step to filtering Species == "setosa"; and finally, I select only the columns that interest me. It's much cleaner to write the codes and much easier to read later, be your own code written in the past, be it someone else's code.Curiosity: function %>% arose in a package called magrittr, which was previously called plumbr. The package has a name test in honor of René Magritte, Belgian painter who produced the work below: " This isn't a pipe."The pipe command emerged in another programming language called F#. When it came to the R, the author of the package plumbr decided to make a big pun, joining the pipe concept (can, in English) with pipe (chimbo, in French) and thus honor a famous painter. http://adolfoalvarez.cl/plumbers-chains-and-famous-painters-the-history-of-the-pipe-operator-in-r/ .
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I've decided. ♪ ♪ Just copied a binance folder to Python-a. c/Users\room1\AppData\Local\Programs\Python39\Lib\site-packagesall the additions to the model have been made... it has been possible to obtain additional data. :Question: Where did Python get the data for "binance_f" before? ?
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The error is incorrect understanding of the area of visibility. I'll show you more clearly:def fr(p1, q1): p = p1 q = q1 # тут есть переменная p while (p != 0) and (q != 0): if p > q: p = p % q else: q = q % p p = p + q # и вот тут есть переменная p return p # и даже тут переменная p ещё есть а вот тут её уже нет, поскольку тело функции закончилось a = int(input('...')) b = int(input('...')) fr(a, b) # функция создала переменную p ВНУТРИ СЕБЯ, но снаружи никакой p нет! переменную p всё ещё не создали! a = a // p b = b // p How should this work:def fr(p1, q1): p = p1 q = q1 while (p != 0) and (q != 0): if p > q: p = p % q else: q = q % p p = p + q return p a = int(input('...')) b = int(input('...')) p = fr(a, b) # вот тут мы создаём эту переменную p и получаем в неё значение p из функции теперь p есть её можно использовать a = a // p b = b // p Well, as the author of the other pointed out, you obviously have a problem with retreat around here. returnsince such a derogation completely makes the existence of a cycle meaningless, the function will end on the first iteration.Well, it's a logical mistake, and it's not related to your exception.Oh, yes, thanks to the same concept of visibility, you can call the formal parameters immediately needed by the names, not assign them later:def fr(p, q): while (p != 0) and (q != 0): if p > q: p = p % q else: q = q % p p = p + q return p
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Just do:as.data.frame(t(df)) EDIT: As I said in the comment, it might be better to use '_' instead of space in the name of variables. In that case, we have:> df LOCATION jan_1999 fev_1999 mar_1999 1 EU28 86.70000 85.50000 85.90000 2 JPN 99.76086 99.76086 101.47350 3 USA 90.87153 91.62469 91.56094 After application of the function:> as.data.frame(t(df)) V1 V2 V3 LOCATION EU28 JPN USA jan_1999 86.70000 99.76086 90.87153 fev_1999 85.50000 99.76086 91.62469 mar_1999 85.90000 101.47350 91.56094 Note that it will be necessary to delete the first row and rename the columns to achieve the output desired
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It's a beautiful conclusion to the consoleum on the whole width of the console, not the length of the line.
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Size the line on the width of the console (in the standard library Python - 79 symbols)print (colored('{0:{width}}'.format('Hello World!', width = 79), 'green','on_white')) print (colored('{0:{width}}'.format('Hi!', width = 79), 'green', 'on_white'))

Why do you need a r' '- a literal in a module re. Is it necessary?

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