extraction

问题 Currently I am using a custom LocationTextExtractionStrategy to extract text from a PDF that returns a TextRenderInfo[]. I would like to be able to determine if a TextRenderInfo object (or PDFString, child of TextRenderInfo) appears in a specific layer. I am not sure if this is possible. To get the layers in a PDF, I am using: Dictionary<string,PdfLayer> layers; using (var pdfReader = new PdfReader(src)) { var newSrc = Path.Combine(["new file location"]); using (var stream = new FileStream

问题 I need to parse WHOIS raw data records into fields. There is no one consistent format for the raw data, and I need to support all the possible formats (there are ~ 40 unique formats that I know of). For examples, here are excerpts from 3 different WHOIS raw data records: Created on: 2007-01-04 Updated on: 2014-01-29 Expires on: 2015-01-04 Registrant Name: 0,75 DI VALENTINO ROSSI Contact: 0,75 Di Valentino Rossi Registrant Address: Via Garibaldi 22 Registrant City: Pradalunga Registrant Postal

问题 My problem is that i need to extract with FFMPEG the audio contained in a video with the same duration. But for some files that i tested, the audio's duration is sometimes shorter than the video's duration. I need to have the exact same duration between the audio and the video file. The command that i have already tried is this following: ffmpeg -i input_video.mp4 output_audio.wav How can i fix this with options in my command ? 回答1: I found the solution. To get an audio extract with the exact

问题 I'm trying to subset variables by significant P-values, and I attempted with the following code, but it only selects all variables instead of selecting by condition. Could anyone help me to correct the problem? myvars <- names(summary(backward_lm)$coefficients[,4] < 0.05) happiness_reduced <- happiness_nomis[myvars] Thanks! 回答1: An alternative solution to Martin's great answer (in the comments section) using the broom package. Unfortunately, you haven't posted an data, so I'm using the mtcars

来源： https://stackoverflow.com/questions/19300211/extracting-data-from-excel-database

来源： https://stackoverflow.com/questions/19300211/extracting-data-from-excel-database

问题 I have a list of 25 columns that I am testing to by group (4 levels) through a Dunnett test. I was able to use the sapply function to get the Dunnett to work for all the columns by group and am having some trouble pulling the p-values into a table. Below is an example of what I am trying to do using the iris dataset. iris <- iris iris$group <- ifelse(iris$Species =='setosa', 1, ifelse(iris$Species =='versicolor', 2, ifelse(iris$Species =='virginica', 3, 0))) iris$group <- as.factor(iris$group

问题 I am an recent graduate in pure mathematics who only has taken few basic programming courses. I am doing an internship and I have an internal data analysis project. I have to analyze the internal PDFs of the last years. The PDFs are "secured." In other words, they are encrypted. We do not have PDF passwords, even more, we are not sure if passwords exist. But, we have all these documents and we can read them manually. We can print them as well. The goal is to read them with Python because is

问题 I want to extract world climate data for minimum and maximum temperature for only one country India using R and save it as a data set (to use with my own data-set that contains crop yields at the district level). I have gone through several posts and can see that this can be done easily in R, however the posts that I have tried to follow are a bit different in terms of the commands or sequences and I am getting confused. (https://gis.stackexchange.com/questions/259478/worldclim-data-na-for-my

问题 I want to extract data like tweet id , twitter username, twitter id of the user who has fb.me link displayed in his tweet and also his fb id and fb username. I have to do this for 200 such tweets. My code : from twitter.oauth import OAuth import json import urllib2 from twitter import * ckey = '' csecret = '' atoken = '' asecret = '' auth = OAuth(atoken,asecret,ckey,csecret) t_api = Twitter(auth=auth) search = t_api.search.tweets(q='http://on.fb.me',count=1) print search print 'specific data'