fixed-width

Have Python output .csv with space-padded, fixed width, but comma-separated columns? Question: Let’s say I have CSV data as note below; let’s call this original.csv: name,value1,value2 firstname,34326408129478932874,553 secondname_a_very_long_one,65,123987 thirdname_medium,9686509933423,33 Basically, it’s either single word text (no space separation, so no need for quoting) or numbers (here integers, but could be floats with decimals or scientific …

create Fixed Width File in Python Question: The code below creates one line of string. My problem is i have a big database. From which i have to create a fixed width text file. Which should post multiple lines And below code example only posts one line. can anyone help with code that post multiple …

pyspark parse fixed width text file Question: Trying to parse a fixed width text file. my text file looks like the following and I need a row id, date, a string, and an integer: 00101292017you1234 00201302017 me5678 I can read the text file to an RDD using sc.textFile(path). I can createDataFrame with a parsed RDD …

Fixed width integer types (e.g. uint32) in Python Question: Certain mathematical operations, especially on data read from hardware drivers, can depend on fixed width of the data type. Example: bitwise shift. What is the Pythonic way of creating integer variables with fixed width (e.g. uint32, int16 etc.) that would overflow/shift accordingly? Asked By: Andrzej Pronobis …

Python Pandas, write DataFrame to fixed-width file (to_fwf?) Question: I see that Pandas has read_fwf, but does it have something like DataFrame.to_fwf? I’m looking for support for field width, numerical precision, and string justification. It seems that DataFrame.to_csv doesn’t do this. numpy.savetxt does, but I wouldn’t want to do: numpy.savetxt(‘myfile.txt’, mydataframe.to_records(), fmt=’some format’) That just …