binary-data

来源： https://stackoverflow.com/questions/60020522/binary-data-not-fetching-in-uiimageview-when-called

来源： https://stackoverflow.com/questions/63933052/base64-binary-data-in-an-url-string-opening-blank-page-if-file-too-large

问题 I have an array of integers Array ( [0] => Array ( [0] => 1531412763 [1] => 1439959339 [2] => 76 [3] => 122 [4] => 200 [5] => 4550 [6] => 444 ) ... And so on, I suppose if I look at it as if it were a database - the elements of the outermost array are the rows and the elements of the inner arrays are the columns. I want to save that information into a file, so that I will be able to retrieve it later but I want to save it as binary data to save space. Basically if I write the first integer

问题 My swift code below is trying to to append the image that is in the pic image and save it into core data. The core data attributes are located in a image below. When the user enters 3 into the textfield the image the saved into core data should appear because that is the order in the index. 2 Images are saved when build so the new image should start at 3 on the index. import UIKit import CoreData class ViewController: UIViewController,UITextFieldDelegate, UIImagePickerControllerDelegate,

问题 So, I'm trying to write a gzip file, actually from the net, but to simplify I wrote some very basic test. import gzip LINES = [b'I am a test line' for _ in range(100_000)] f = gzip.open('./test.text.gz', 'wb') for line in LINES: f.write(line) f.close() It runs great, and I can see in Jupyter that it has created the test.txt.gz file in the directory listing. So I click on it expecting a whole host of garbage characters indicative of a binary file, like you would see in Notepad. However,

问题 Does anybody know how to view the contents of fields containing binary data in an MS SQL Server 2005 database? 回答1: Depends if it is just text stored as binary or not, if it is then take a look at this create table #bla (col1 varbinary(400)) insert #bla values(convert(varbinary(400),'abcdefg')) select col1,convert(varchar(max),col1) from #bla output 0x61626364656667 abcdefg 来源： https://stackoverflow.com/questions/532815/how-can-i-view-the-contents-of-sql-binary-data-fields

问题 Does anybody know how to view the contents of fields containing binary data in an MS SQL Server 2005 database? 回答1: Depends if it is just text stored as binary or not, if it is then take a look at this create table #bla (col1 varbinary(400)) insert #bla values(convert(varbinary(400),'abcdefg')) select col1,convert(varchar(max),col1) from #bla output 0x61626364656667 abcdefg 来源： https://stackoverflow.com/questions/532815/how-can-i-view-the-contents-of-sql-binary-data-fields

问题 I'm looking for a way to stream ("tail") a binary file on a Kubernetes pod to my local machine. I've tried this: kubectl exec -it app-service-58697cf7c9-nnzgh -c tcpdumper -- tail -f -c +0 /output.pcap ( tcpdumper is just a thin wrapper around tcpdump which runs as a helper container in the pod). This almost works. I'm able to view a stream of binary data on my local machine when I run this command. The end goal of what I'm trying to do here is that I'd like to take this binary stream of pcap

问题 I am working on data that contains more than 300 categorical features that I have factored into 0s and 1s. Now, i need to create a matrix of the features to with frequency of joint occurrence in each cell. In the end , I am looking to create a heatmap of this frequency matrix. So, my dataframe in R looks like this: id cat1 cat2 cat3 cat4 156 0 0 1 1 465 1 1 1 0 573 0 1 1 0 The output I want is: cat1 cat2 cat3 ... cat1 0 1 0 cat2 1 0 2 cat3 1 2 0 . . where each cell value denotes the number of

问题 We can convert any digital file into binary file. I have a text file of 1MB, I want to convert it to a binary string and see the output as a binary number and the vice versa, in other words, if I have binary number, I want to convert it to a text file. How could I do that in Python? is there a standard way to do this? Now in this forum there are some posts (1,2,3, 4 ) on this but none of them answer properly to my question. 回答1: See https://docs.python.org/3/library/codecs.html#standard