Create Pandas DataFrame from txt file with specific pattern

You can first read_csv with parameter name for create DataFrame with column Region Name, separator is value which is NOT in values (like ;): df = pd.read_csv(‘filename.txt’, sep=”;”, names=[‘Region Name’]) Then insert new column State with extract rows where text [edit] and replace all values from ( to the end to column Region Name. df.insert(0, … Read more

Extract MSI from EXE

For InstallShield MSI based projects I have found the following to work: setup.exe /s /x /b”C:\FolderInWhichMSIWillBeExtracted” /v”/qn” This command will lead to an extracted MSI in a directory you can freely specify and a silently failed uninstall of the product. The command line basically tells the setup.exe to attempt to uninstall the product (/x) and … Read more

The difference between bracket [ ] and double bracket [[ ]] for accessing the elements of a list or dataframe

The R Language Definition is handy for answering these types of questions: http://cran.r-project.org/doc/manuals/R-lang.html#Indexing R has three basic indexing operators, with syntax displayed by the following examples x[i] x[i, j] x[[i]] x[[i, j]] x$a x$”a” For vectors and matrices the [[ forms are rarely used, although they have some slight semantic differences from the [ form … Read more

extract number out strings c# [closed]

Try regular expression, the only trick is CO2 and m2 – we don’t want 2 that’s why I’ve added \b: string source = @”Humidity: 33 % Temperature: 25.7 deg C Visible light: 112 lx Infrared radiation: 1802.5 mW/m2 UV index: 0.12 CO2: 404 ppm CO2 Pressure: 102126 Pa”; string[] numbers = Regex .Matches(source, @”\b[0-9]+(?:\.[0-9]+)?\b”) .OfType<Match>() … Read more