scrap | thousand bash and python scripts
kandi X-RAY | scrap Summary
kandi X-RAY | scrap Summary
Various scripts I've written over the years.
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Top functions reviewed by kandi - BETA
- Expand braces
- Parse a string expression
- Flattens a tuple
- Parse pattern
- Plot the STFT
- Get audio signal
- Scale a spectrogram
- Load a media file
- Prompt the user for confirmation
- Prompt user for input
- Prompt user for safe input
- Run a bash command
- Dispatch a function
- Register subcommands
- Check if support aliases
- Return the output of a command
- Write the raw data to a file
- Wait for any key to continue
- Raise an exception
- Test if fname starts with lowercase
- Creates a script
- Edit a file
- Finds all files under path
- Execute a command
- Dispatch functions
- Compile a regex
scrap Key Features
scrap Examples and Code Snippets
Community Discussions
Trending Discussions on scrap
QUESTION
I am trying to apply the builder pattern to an object, but the private constructor is not visible from the inner class.
...ANSWER
Answered 2021-Jun-10 at 10:18This doesn't work because the real builder is std::make_unique, and it is neither a friend nor a member. Making it a friend is not really possible, because you don't know what internal function it delegates to, and it would defeat the purpose of a private constructor anyway.
You can just use bare new instead of std::make_unique, it will work in a pinch. If instead of a unique pointer you want a shared pointer, this becomes a bit more problematic, since the performance will not be as good.
Here's how to make it work for unique_ptr, shared_ptr or any other kind of handle.
QUESTION
I am attempting to call ffplay in Python using subprocess. When ffplay is called, it opens a window with the video and outputs information to the console until the window is closed. I'd like to scrap the output and return to the Python script while the video continues to play (i.e., not closing the window).
Currently, I have:
...ANSWER
Answered 2021-Jun-07 at 10:17I think Popen is what you are looking for.
Here is a code sample:
QUESTION
I have the following dataset.
...ANSWER
Answered 2021-Jun-09 at 07:19You should first split the dataframe depending whether the Scrap column contains positive data and then join the parts:
QUESTION
I have the following dataframe,
...ANSWER
Answered 2021-Jun-09 at 08:12Surely it is not the best solution, but you can try something like follows
QUESTION
SELECT
/*MATERIAL COST USD*/
Material_Cost_Gbp * Material_Rate_Usd AS Material Cost Usd,
/*MATERIAL COST BURDEN & SCRAP*/
((Material_Cost_Gbp * Material_Rate_Usd) * Material_Rate_Burden / 100)
+ ((Material_Cost_Gbp * Material_Rate_Usd) * Material_Rate_Scrap / 100)
+ (Material_Cost_Gbp * Material_Rate_Usd) AS Material Cost Burden & Scrap,
/*MATERIAL COST PER PCS*/
(((Material_Cost_Gbp * Material_Rate_Usd) * Material_Rate_Burden / 100)
+ ((Material_Cost_Gbp * Material_Rate_Usd) * Material_Rate_Scrap / 100)
+ (Material_Cost_Gbp * Material_Rate_Usd)) / Qty_Bar AS Material Cost per Pcs
FROM
dbo.Nmaterial
ANSWER
Answered 2021-Jun-07 at 07:07I assume you have installed EF in your project. First you need to create a View Model. For example:
QUESTION
I hacked together the code below.
...ANSWER
Answered 2021-May-29 at 16:12You need to store all the sublists of data per ticker into it's own list. Instead of blending them all. Then you can use itertools chain.from_iterable to make one large list per ticket, take every even item as a key and odd item as as values in a dictionary, and put the final dict for each ticker into a larger list. That can turn into a dataframe.
QUESTION
Context:
My data analysis involves manipulating ~100 different trials separately, and each trial has >1000 rows. Eventually, one step requires me to combine each trial with a column value from a different dataset. I plan to combine this dataset with each trial within an array using left_join() and "ID" as the key.
I want to mutate() the trial name into a new column labeled "ID". I feel like this should be a simple task, but I'm still a novice when working with lists and arrays.
I don't know how to share .csv files, but you can save the example datasets as .csv files within a practice folder named "data".
...ANSWER
Answered 2021-May-28 at 04:13library(tidyverse)
# Create practice dataset
df1 <- tibble(Time = seq(1, 5, by = 1),
Point = seq(6, 10, by = 1)) %>% print()
#> # A tibble: 5 x 2
#> Time Point
#>
#> 1 1 6
#> 2 2 7
#> 3 3 8
#> 4 4 9
#> 5 5 10
df2 <- tibble(Time = seq(6, 10, by = 1),
Point = seq(1, 5, by = 1)) %>% print()
#> # A tibble: 5 x 2
#> Time Point
#>
#> 1 6 1
#> 2 7 2
#> 3 8 3
#> 4 9 4
#> 5 10 5
write_csv(df1, "21May27_CtYJ10.csv")
write_csv(df2, "21May27_HrOW07.csv")
rm(df1, df2)
QUESTION
ANSWER
Answered 2021-May-28 at 02:13In your gosh function, after the conditional, you can remove the onclick attribute using el.removeAttribute('onclick'), this will render the image non-clickable until the page refreshes again. Then change the title attribute using el.title = 'snarky comment'
QUESTION
import sys
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
from selenium.webdriver import ActionChains
from selenium.common.exceptions import TimeoutException, NoSuchElementException
import time
def main():
driver = configuration()
motcle = sys.argv[1]
recherche(driver,motcle)
def configuration():
"""
Permet de faire la configuration nécessaire pour faire le scrapping
:return: driver
"""
path = "/usr/lib/chromium-browser/chromedriver"
driver = webdriver.Chrome(path)
driver.get("https://www.youtube.com/")
return driver
def recherche(driver,motcle):
actionChain = ActionChains(driver)
search = driver.find_element_by_id("search")
search.send_keys(motcle)
search.send_keys(Keys.RETURN)
driver.implicitly_wait(20)
content = driver.find_elements(By.CSS_SELECTOR, 'div#contents ytd-item-section-renderer>div#contents a#thumbnail')
driver.implicitly_wait(20)
links = []
for item in content:
links+= [item.get_attribute('href')]
print(links)
time.sleep(5)
if __name__ == '__main__':
main()
ANSWER
Answered 2021-May-25 at 02:12If you iterate over it directly and add an explicit wait it should pull in all the items you are looking for
QUESTION
I want to save the number of articles in each country in the form of the name of the country, the number of articles in a file for my research work from the following site. To do this, I wrote this code, which unfortunately does not work.
...ANSWER
Answered 2021-May-24 at 08:53You are using the wrong url. Try this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install scrap
You can use scrap 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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