gtools | A python library providing gevent tools | Code Editor library
kandi X-RAY | gtools Summary
kandi X-RAY | gtools Summary
A python library providing gevent tools:.
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Top functions reviewed by kandi - BETA
- Main function
- Create a tree
- Print the tree
- Spawn a thread
- Sets the trace frame
- Join all threads
- Print a tree
- Patch all gevent
- Patch gevent
- Monkey patch pdb pdb pdb
- Spawn thread
- Set the current trace frame
- Run post mortem
- Perform post mortem interaction
- List of greenlets
- Return a list of all the callees in g g
- Generator of all callees in g
- Join multiple threads
gtools Key Features
gtools Examples and Code Snippets
Lines of Code : 103License : Permissive (MIT)
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>>> import gevent
>>> import gtools.tree
>>> def iloop():
... gevent.sleep(1)
>>> def oloop():
... gtools.spawn(iloop)
... gevent.sleep(0.5)
>>> task = gtools.spawn(oloop)
>>> # s # ======
# app.py
# ======
import gevent
def produce(p):
for i in range(60):
p.append(i)
gevent.sleep(1)
products = []
gevent.spawn(produce, products)
$ python -m gtools.pdb app.py
> /app.py(9)()
-> gevent.spawn(produce Community Discussions
Trending Discussions on gtools
QUESTION
I want to calculate the fold change between thyroid and testes dataframe using TPM values and provide the top 10 genes overexpressed in testes tissue (testes$gene_id in the testes dataframe).
In my code below, I first calculated the fold change and store it as a numeric vector tpm.foldchange but then I don't know how to sort the gene_id column of the testes dataframe based on the sorted fold-change values tpm.foldchange.
ANSWER
Answered 2022-Apr-10 at 19:29If we want to order by the foldchange, do a join first, and arrange based on the foldchange between the 'TPM' columns
QUESTION
assume this is what R gives me.
...ANSWER
Answered 2022-Apr-10 at 16:50It can be easily done with parse_number to reorder the rows with arrange
QUESTION
I have an expensiv function that can be called with an positive integer. Starting at zero this function returns false, at a certain value (call this value y) the function will return true and will return also true for all inputvalues higher than y.
What i tried: I defined a function (in reality this function takes a very long time to execute)
...ANSWER
Answered 2022-Mar-05 at 15:39You will need to write this yourself, because you have unusual needs, i.e. you do not want to pass a vector to magicFun, you only want to pass scalars, you want to pass as few as possible of those, and you don't have a typical stopping rule: you need to stop at n where magicFun(n) is TRUE but magicFun(n-1) is FALSE.
Do you have any idea about how big the answer will be in advance? If for example you think it will be around 100, you could start a binary search at 0 and 120. You will need to be prepared for your initial guess to be wrong, i.e. maybe 120 gives FALSE.
I'll let you write the function yourself.
QUESTION
I have the following dataframes: df1:
...ANSWER
Answered 2021-Dec-30 at 15:52Here a way to go with data.table:
QUESTION
I have a dataframe in R with a column consisting of both letters and numbers (eg. "A", "B", "1", "2" etc). I would like to sort the dataframe in such a way that I have the letters first (alphabetically sorted) followed by the numbers (numerically sorted). Ideally in a tidyverse way, but not necessarily.
gtools::mixedsort does almost what I want, but puts numbers before strings and I do not think there is an argument that allows you to push the numbers to the back.
I considered splitting the dataframe, sort each one separately, and then bind by rows again. But I am guessing there should be a better way to do this?
Here is also an example to further clarify my question.
I have:
...ANSWER
Answered 2021-Nov-23 at 12:11For a base R option:
QUESTION
I have a list of data tags as strings, much like this:
...ANSWER
Answered 2021-Nov-19 at 17:25We may extract the digits and non-digits separately, and then do the order after converting to factor with levels specified for the non-digits part
QUESTION
I am trying to sort a list files in a directory, I used differents libraries but all gave me the same result, example:
...ANSWER
Answered 2021-Nov-16 at 21:38 library(dplyr)
myFiles %>%
tibble(archivo=.) %>%
mutate(archivo_ref = gsub("_\\dS", "", archivo)) %>%
arrange(archivo_ref) %>%
select(archivo) %>%
unlist %>%
unname
[1] "Archivo_1S2010.txt" "Archivo_2S2010.txt" "Archivo_1S2011.txt" "Archivo_2S2011.txt"
[5] "Archivo_1S2012.txt" "Archivo_2S2012.txt" "Archivo_1S2013.txt" "Archivo_2S2013.txt"
[9] "Archivo_1S2014.txt" "Archivo_2S2014.txt" "Archivo_1S2015.txt" "Archivo_2S2015.txt"
QUESTION
Say I have a vector vec <- c("H", "H", "H", "H", "M", "M", "A", "A")
How do I get all combinations / permutations if I e.g. draw 5 out of 8 with the expetced ouput.
ANSWER
Answered 2021-Nov-10 at 09:28An alternative
QUESTION
I have a very simple (albeit large) data frame with 2 numeric columns and 1 character grouping column, containing several NAs.
I am going to use iris as an example. Below, I just introduce random NAs in the Species column I want to use for grouping and coloring.
What I do here is to remake the Species column as a factor with "NA" (character) at the end. I make a palette with gray at the end, that I want to correspond to "NA".
ANSWER
Answered 2021-Nov-09 at 14:57There is no need for multiple layers. You could simply reorder your dataset so that the NAs get plotted first and for the shapes you could map Species on the shape aes and set the desired shape via scale_shape_manual:
QUESTION
I am relatively new to R, and I have searched for an answer to my Problem, but without luck. Hope that you can Help me.
This is so far the code that I have written:
...ANSWER
Answered 2021-Nov-07 at 13:33Here is one approach if I understand the blatt options can be in either V1 or V2.
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Install gtools
You can use gtools like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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