extract

I am looking at getting the plain text from html. Which one should I choose, php strip_tags or simplehtmldom plaintext extraction? One pro for simplehtmldom is support of invalid html, is that sufficient in itself? You should probably use smiplehtmldom for the reason you mentioned and that strip_tags may also leave you non-text elements like javascript or css contained within script/style blocks You would also be able to filter text from elements that aren't displayed (inline style=display:none) That said, if the html is simple enough, then strip_tags may be faster and will accomplish the same

I need to unzip/extract 7z compressed files in ios , Can anyone say the libraries used to do this,where are those libraries available to download.I there any sample project to do this ,let me know 7-Zip Lzma SDK - is a multi-language SDK for handling 7-zip files. Mo Dejong has created an example demonstrating how to use the LZMA SDK to decompress 7-zip libraries on iOS devices. You can find the example on his website here . iOS9 comes with LZMA support (encoder until level 6, decoder all levels). Of course this only helps if you just need the compression – if you absolutely need to read the 7z

Oracle 11g. I figured out that if I add NOENTITYESCAPING to the XMLELEMENT function, it nicely turns off entity escaping. However, when I then pass the result to EXTRACT the escaping seems to come back again. select xmlelement(NOENTITYESCAPING e,id,'->') from (select level as id from dual connect by level < 6) XMLELEMENT(NOENTITYESCAPINGE,ID,'->') --------------------------------------- <E>1-></E> <E>2-></E> <E>3-></E> <E>4-></E> <E>5-></E> Now, adding EXTRACT : select xmlelement(NOENTITYESCAPING e,id,'->').extract('//text()') from (select level as id from dual connect by level < 6) XMLELEMENT

I have a dataframe df_energy2 df_energy2.info() <class 'pandas.core.frame.DataFrame'> RangeIndex: 29974 entries, 0 to 29973 Data columns (total 4 columns): TIMESTAMP 29974 non-null datetime64[ns] P_ACT_KW 29974 non-null int64 PERIODE_TARIF 29974 non-null object P_SOUSCR 29974 non-null int64 dtypes: datetime64[ns](1), int64(2), object(1) memory usage: 936.8+ KB with this structure : df_energy2.head() TIMESTAMP P_ACT_KW PERIODE_TARIF P_SOUSCR 2016-01-01 00:00:00 116 HC 250 2016-01-01 00:10:00 121 HC 250 Is there any python fucntion which can extract hour from TIMESTAMP ? Kind regards I think you

A XIP file is an analog to zip, but allows for a digital signature to be applied and verified on the receiving system, before the archive is expanded. When a XIP file is opened (by double-clicking), Archive Utility will automatically expand it (but only if the digital signature is intact). Essentially, a .xip file is just a .zip with a signature to verify that the file has not changed since its creator saved it. This protects from both damage from a disk error and from a third-party tampering with the file. Does anyone know, how to extract this file, e.g. using Terminal , to a specific folder