congress | A Clumsy Kademlia DHT library
kandi X-RAY | congress Summary
kandi X-RAY | congress Summary
Congress is my haphazard attempt at a Kademlia-like library for building P2P overlay networks, which isn’t anything original. I like Entangled, but hate Twisted, so I used pyev, which I find to be much less ambitious and not as big in the hips.
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congress Examples and Code Snippets
Community Discussions
Trending Discussions on congress
QUESTION
I have some columns titles essay 0-9, I want to iterate over them count the words and then make a new column with the number of words. so essay0 will get a column essay0_num with 5 if that is how many words it has in it.
so far i got cupid <- cupid %>% mutate(essay9_num = sapply(strsplit(essay9, " "), length))
to count the words and add a column but i don't want to do it one by one for all 10.
i tried a for loop:
...ANSWER
Answered 2022-Apr-08 at 04:54Use across()
to apply the same function to multiple columns:
QUESTION
I am trying to load 12,880 json files into a dataframe in R but am having some trouble. Any pointers on what I'm doing wrong would be greatly appreciated!
In short, I am trying to see the average age of US politicians over time and have downloaded the data on all Congressional politicians from the library of Congress: https://bioguide.congress.gov/search (you can download the whole database by clicking "download" on the top right).
Once unzipped, it is 12,880 json files (under 70mb).
I have been able to load in some data as lists:
...ANSWER
Answered 2022-Mar-30 at 14:24A single json
file is imported is a nested list with unequal dataframes. Thus it can't be converted to a single dataframe.
Instead you can import all the json
files as,
QUESTION
- I'm trying to iterate over groups ( groupedby
AC No
) - The groups that meets the given condition (having 12 rows) as output.
data.loc[(data['Position'] <= 3) & (data['Votes %'] > 10.0) ].shape[0]) == 12
are assigned a dummy output as 1.
Let's start fresh and simple I have stored my new filtered dataset as
...ANSWER
Answered 2022-Mar-24 at 10:04You can count matched values by mask by GroupBy.sum
and then filter:
QUESTION
I'm using the following jquery plugins : Excel-like-Bootstrap-Table-Sorting-Filtering-Plugin
This is pretty awesome but on some tables, I have a rowspan which is messing the stuff. How can I fix this plugin to get the appropriate date in the filter to be shown taking in account the roswpan.
I made an example in the following JSFiddle. Try to filter the second column and you will see it's showing data from the third column in the quick filter. https://jsfiddle.net/83wLhg62/1/
...ANSWER
Answered 2022-Mar-21 at 08:29Finally I found a way to do it :
add a column with display:none when I have a rowspan !
cf jsfiddle https://jsfiddle.net/zrf2a4qL/
QUESTION
First of all, I am a beginner at android. I am actually trying to build a quiz app. but I am getting stuck with an error that is unexpected.when I clickNext
button, I found an error. I was searching for the same question in StackOverflow but I could not find an expected solution. here is my code:-
MainActivity.java
...ANSWER
Answered 2022-Mar-12 at 07:28The value of currentQuestionIndex
must be smaller than the value of questionBank.size()
:
QUESTION
Please i need help, am having trouble trying to put my scraped data into a data frame that has 3 columns i.e. date, source and keywords extracted from each scraped website for further text analysis, my code is borrowed from https://stackoverflow.com/users/12229253/foreverlearning and is given below:
...ANSWER
Answered 2022-Feb-24 at 02:17I played around with it and here is how you can make it into a data frame. Assuming that you wanted to use pandas in the first place:
QUESTION
I have two sets of dataframe, one is the "gold" one which means that I need to keep all the rows for the gold one after merging. The other one is reference one. Below is a sneak peek of that two dataframe.
...ANSWER
Answered 2022-Feb-17 at 08:59I have the answer you want here. It generates an "output.csv" which you can read with pandas as a dataframe to give you the expected result.
Here is my "output.csv". The results look odd because your sample input (reference.csv and gold.csv) were a small subset. If you test on your full large input CSVs, you will get a proper output:
QUESTION
I have this program called simplechain.c here which basically has a program fork itself once, the child does the same and that keeps going a certain amount of times, then each process now (in reverse order due to a wait()
) reads some amount of characters and prints them once they have enough:
ANSWER
Answered 2022-Feb-08 at 21:19The short answer is Buffered I/O.
The programs all share the same file stream. Reading from a file, the first process to read the file gets a block of data (probably 512 or 4096 bytes) which the others don't see, but the file read position for the others moves. Rinse and repeat. If you used file descriptor I/O, you wouldn't get the same buffering effect. If you read some data using file streams before you did the forking, you'd get another set of results (all showing the same data). If the input was not a file but a pipe or something else, you'd get other results again.
You could probably fix it by setting the buffer size small, or unbuffered:
QUESTION
UPDATE: I have added the dput() input at the bottom of the post.
I have a large dataset of tweets that I would like to subset by month and year.
data_cleaning$date <- as.Date(data_cleaning$created_at, tryFormats = c("%Y-%m-%d", "%Y/%m/%d"), optional = FALSE)
I used the line of code above to format the date
variable in the dataframe below.
ANSWER
Answered 2022-Feb-07 at 21:17# set as data.table
setDT(data_cleaning)
# create year month column
data_cleaning[, year_month := substr(date, 1, 7)]
# split and put into list
split(data_cleaning, data_cleaning$year_month)
QUESTION
I am trying to scrape information on this webpage into a data frame with the following variables:
|Name|State|District|Party|ServedHouse|ServedSenate|
The 'Name' is easily scraped because it has a special class 'result-heading'. The details ('State', 'District', etc.) are harder to scrape because they all have the same class 'result-item'. The html source is reasonably structured for web scraping.
Using an altered version of the code I found in this topic I tried to get R to scrape the details accurately (only record the words after a certain word), but it is not working. Probably because I do not have the right operators in the gsub() function.
...ANSWER
Answered 2022-Jan-30 at 18:50The below will get you 90% of the way there. I'll highlight snippets at the bottom to guide you through my logic.
I use functions from the stringr
and data.table
packages in addition the xml2
and rvest
.
Just in case you're confused by some of the conventions I use since I don't often load up magrittr or the tdyverse.
|>
is R's native pipe since 4.1. It does not have use of the .
placeholder for functions that you want to use the piped data in a place other than the first arg. To do so, I use R's new anonymous functions \(x) x+2
which is the equivalent of function(x) x+2
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Install congress
You can use congress 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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