extract

问题 Pandas has a very fast and nice string method, extract(). This method works perfectly with a regex such as this one: strict_pattern = r"^(?P<pre_spacer>ACGAG)(?P<UMI>.{9,13})(?P<post_spacer>TGGAGTCT)" test_df R1 21 ACGAGTTTTCGTATTTTTGGAGTCTTGTGG 22 ACGAGTAGGGAGGGGGGTGGAGTCTCAGCG 23 ACGAGGGGGGGGAGGCTGGAGTCTCCGGGT 24 ACGAGAATAACGTTTGGTGGAGTCTACCAC 25 ACGAGGGGAATAAATATTGGAGTCTCCTCC 26 ACGAGATTGGGTATGCTGGAGTCTCTGTTC 27 ACGAGGTACCCGCGCCATGGAGTCTCTCTG 28 ACGAGTGGTTTTTGTCGTGGAGTCTCACCA 29

问题 I'm working on hybrid mobile app using html5/js. It has a function download zip file then unzip them. The download function is not problem but I don't know how to unzip file (using javascript). Many people refer to zip.js but it seems only reading zip file (not unzip/extract to new folder) Very appreciate if someone could help me !!! 回答1: Have a look at zip.js documentation and demo page. Also notice the use of JavaScript filesystem API to read/write files and create temporary files. If the

问题 I am using MySQL json data type to store a JSON string. In the JSON string are two fields: entry_time , and entry_date . The values for these fields are stored in ISO 8609 format as follows: entry_date:2017-02-15T00:00:00.00Z entry_time:0000-00-00T04:35:51.29Z I am trying to create a virtual column from these two attributes. Since MySQL 5.7 has NO_ZERO_DATE set I cannot see a way to extract these values out as date and time columns. Here is what I have tried: alter table odh add entry_time

问题 I have thousands of addresses in this format: 123 Happy St. Kansas City, MO 64521 9812 Main Street Minneapolis, MN 62154 12 Virgina Ave, Apt 8, Dallas, TX 54334 I want to extract the address, city, state, zip into individual cells (without using VB if possible). I've tried a couple variations of other methods posted, but I can't quite get desired results. 回答1: Analyze your problem! you want to split your address string at the comma you then want to split the right fragment from (1) at the

问题 I have thousands of addresses in this format: 123 Happy St. Kansas City, MO 64521 9812 Main Street Minneapolis, MN 62154 12 Virgina Ave, Apt 8, Dallas, TX 54334 I want to extract the address, city, state, zip into individual cells (without using VB if possible). I've tried a couple variations of other methods posted, but I can't quite get desired results. 回答1: Analyze your problem! you want to split your address string at the comma you then want to split the right fragment from (1) at the

问题 I have thousands of addresses in this format: 123 Happy St. Kansas City, MO 64521 9812 Main Street Minneapolis, MN 62154 12 Virgina Ave, Apt 8, Dallas, TX 54334 I want to extract the address, city, state, zip into individual cells (without using VB if possible). I've tried a couple variations of other methods posted, but I can't quite get desired results. 回答1: Analyze your problem! you want to split your address string at the comma you then want to split the right fragment from (1) at the

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 6 years ago . Improve this question I want to extract some data from the GEO website, how can I do this? The URL of the site is http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM410750, and I want to get the "disease state" of the patient, I used the command readLines("http://www.ncbi.nlm

问题 I try to extract passages like 44.11.36.00-1 (precisely, nn.nn.nn.nn-n , where n stands for any number from 0-9) from text in R. I want to extract passages if they are "sticked" to non-number marks: 44.11.36.00-1 extracted from nsfghstighsl44.11.36.00-1vsdfgh is OK 44.11.36.00-1 extracted from fa0044.11.36.00-1000 is NOT I have read that str_extract_all is not working with Lookbehind and Lookahead expressions, so I sadly came back to grep , but cannot deal with it: > pattern1 <- "(?<![0-9]{1}

问题 New to Coding & VBA and this is my first attempt at trying to Select and Copy the 1st 10 rows of visible data together with the table Header in a Table that I have filtered using VBA Macro. I used examples of code in this link on stackoverflow. VBA selecting visible cells after filtering. This particular example allows me to learn how to copy the values in a single column. I would like to copy the values for the entire Row, or some of the columns depending on which is easier. Sub LPRDATA()

问题 I have a RAR archive with 2 files and I want to extract only one. I found in another answer that I could use the rarfile package, which according to the documentation contains the extract function. However, when I try to run a script I get a FileNotFoundError: [WinError 2] and the following information: During handling of the above exception, another exception occurred : ... rarfile.RarCannotExec: Unrar not installed? (rarfile.UNRAR_TOOL='unrar') . From the information I could find, I saw it