emo | Easily insert emoji into R and RMarkdown | Icon library
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kandi X-RAY | emo Summary
Easily insert emoji into R and RMarkdown
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QUESTION
import scrapy
from scrapy.http import Request
class PushpaSpider(scrapy.Spider):
name = 'pushpa'
start_urls = ['http://smartcatalog.emo-milano.com/it/catalogo/elenco-alfabetico/400/A']
def parse(self, response):
for link in response.xpath("//div[@class='exbox-name']/a/@href"):
yield response.follow(link.get(),callback=self.parse_book)
def parse_book(self, response):
rows = response.xpath('//table[@class="expo-table general-color"]//tr')
table = {}
for row in rows:
key = row.xpath('.//td[1]//text()').get(default='').strip()
value = row.xpath('.//td[2]/text() ').getall()
value = ''.join(value).strip()
table.update({key: value})
yield table
...ANSWER
Answered 2022-Jan-28 at 14:50The values for telephone and fax etc are in an a
tag therefore you need to adjust your xpath selectors to account for those cases.
See below sample
QUESTION
My df looks like this:
...ANSWER
Answered 2022-Jan-25 at 09:04You can use alpha
in your aesthetic and set position to dodge
:
QUESTION
i have a application.yml to auto-creation some table:
...ANSWER
Answered 2022-Jan-25 at 06:58I think no Datasource in this app.
QUESTION
I have a multi module project with maven and spring boot.
My main pom.xml:
...ANSWER
Answered 2022-Jan-24 at 12:20Use spring-boot-maven-plugin
only in modules where you have main classes.
Do not use the plugin in libs modules.
According to the current behavior: when you are using the plugin in the parent pom file, you automatically apply this plugin step for each nested module.
QUESTION
I want to build a PetaLinux Image for my Ultra96v2. I followed this guide up until building my application project in Vitis. It looks promising but then while building the application project for my custom platform, Vitis throws this error:
...ANSWER
Answered 2022-Jan-18 at 12:17PLEASE READ THE WHOLE ANSWER FOR ACTUAL SOLUTION
I think I got it now, though I did not verify whether the image actually works on my Ultra96v2, yet.
I noticed, that the weird path with commata is inside of the boot.bif
and system.bif
.
So the first time I tried to build it, the bif wasnt there, but got created (I assume). The bif was ready then but only had a weird path inside, so I took the makefile (you can find it in debug/sd_card), copied it, and just commented out the line GENERATE_BIF_XSCT_CMD = ${GENERATE_BIF} -xpfm ${XPFM_PATH} -domains ${DOMAINS} -bifpath ${BIF_PATH}
.
Then I edited the boot.bif
and system.bif
and changed the atf,boot
, uboot,boot
, and dts,boot
to just boot
, so the BootGen wouldnt look into the directories with the commata anymore, but only the boot-directory which was specified.
Once that was set up, I executed the edited makefile in my console, by going into the sd_card-directory and executing the following command:
QUESTION
I am trying to create a structural equation model that tests the structure of latent variables underlying a big 5 dataset found on kaggle. More specifically, I would like to replicate a finding which suggests that common method variance (e.g., response biases) inflate the often observed high intercorrelations between the manifest variables/items of the big 5 (Chang, Connelly & Geeza (2012).
...ANSWER
Answered 2021-Dec-02 at 11:05First, let me clear up your misinterpretation of the warning message. It refers to the covariance matrix of estimated parameters (i.e., vcov(big5_CFA_cmv)
, from which SEs are calculated as the square-roots of the variances on the diagonal), not to the estimates themselves. Redundancy among estimates can possibly indicate a lack of identification, which you empirically check by saving the model-implied covariance matrix and fitting the same model to it.
QUESTION
BACKGROUND: We asked each participant to identify multiple emotions and then collected data on each of those emotions, such that there is a column for the first emotion they identified, second, and so on, and then individual columns for each of the follow up questions for each of the emotions. In wide format, it looks something like this:
...ANSWER
Answered 2021-Nov-12 at 14:40How about this solution?
Needed to update the names of the columns that ended with "_" and some polishing of the number's column. I'm sure this could be accomplished in a single line.
QUESTION
import requests
from bs4 import BeautifulSoup
import pandas as pd
headers= {'User-Agent': 'Mozilla/5.0'}
#put all item in this array
response = requests.get('http://smartcatalog.emo-milano.com/it/espositore/a-mannesmann-maschinenfabrik-gmbh')
soup = BeautifulSoup(response.content, 'html.parser')
table=soup.find_all('table', class_='expo-table general-color')
for row in table:
for up in row.find_all('td'):
text_list = [text for text in up.stripped_strings]
print(text_list)
...ANSWER
Answered 2021-Nov-07 at 10:19You can use .get_text()
method to extract text and use parameters to avoid whitespaces and give extra space using separator
QUESTION
I have a complex nested dictionary structured like this:
...ANSWER
Answered 2021-Nov-05 at 09:13I was able to get about 25 % faster by combining the three processes.
QUESTION
I am trying to add another column based on the value of two columns. Here is the mini version of my dataframe.
...ANSWER
Answered 2021-Nov-02 at 08:49I think some logic went wrong here; this works:
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