我知道text-to-columns按钮.可以通过选择列,可能运行宏或使用类似按钮来完成相反的操作吗？
想要找到两个外部合并和内部合并 DataFrame 之间的区别，而没有找到任何行NaN- 我想保留一些行。有没有办法使用该difference方法或最好不必同时创建FrameA和来做到这一点FrameB？
import pandas as pd
DataA = pd.DataFrame([{"a": 1, "b": 4}, {"a": 6, "b": 2}, {"a": 2, "b": 5}, {"a": 3, "b": 6}, {"a": 7, "b": 2}])
DataB = pd.DataFrame([{"a": 2, "d": 7}, {"a": 7, "d": 8}, {"a": 3, "d": 8}])
数据A
a b
0 1 4
1 6 2
2 2 5
3 3 6
4 7 2
数据B
a d
0 2 7
1 7 8
2 …希望使用我的Linux机器使用RSelenium和Tor来返回Tor IP(将Firefox作为Tor浏览器).这对于Python是可行的,但在R中遇到问题.任何人都可以使用它吗？也许您可以在Windows/Linux中共享您的解决方案.
# library(devtools)
# devtools::install_github("ropensci/RSelenium")
library(RSelenium)
RSelenium::checkForServer()
RSelenium::startServer()
binaryExtension <- paste0(Sys.getenv('HOME'),"/Desktop/tor-browser_en-US/Browser/firefox")
remDr <- remoteDriver(dir = binaryExtention)
remDr$open()
remDr$navigate("http://myexternalip.com/raw")
remDr$quit()
Error in callSuper(...) : object 'binaryExtention' not found正在返回错误.
对于社区参考,此Selenium代码在Windows中使用Python3:
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.firefox.firefox_profile import FirefoxProfile
from selenium.webdriver.firefox.firefox_binary import FirefoxBinary
from os.path import expanduser # Finds user's user name on Windows
# Substring inserted to overcome r requirement in FirefoxBinary
binary = FirefoxBinary(r"%s\\Desktop\\Tor Browser\\Browser\\firefox.exe" % (expanduser("~")))
profile = FirefoxProfile(r"%s\\Desktop\\Tor Browser\\Browser\\TorBrowser\\Data\\Browser\\profile.default" % (expanduser("~")))
driver = …使用下面的示例,我想知道是否有更高效的包或函数来进行条件计数和匹配字符串元素的表 - 例如,使用data.table包,dplyr包,lapply()如函数？
produce = c("apple", "blueberry", "blueberry", "corn",
"horseradish", "rutabega", "rutabega", "tomato") # Long list
veggies = c("carrot", "corn", "horseradish", "rutabega") # Short list
basket = matrix(rep(0, length(unique(veggies))*length(unique(produce)) ), nrow = length(unique(veggies)),
ncol = length(unique(produce)) )
rownames(basket) <- unique(veggies)
colnames(basket) <- unique(produce)
basket
输出:
# apple blueberry corn horseradish rutabega tomato
# carrot 0 0 0 0 0 0
# corn 0 0 0 0 0 0
# horseradish 0 0 0 0 …