cstringio

StringIO has the following notes in its code: Notes: - Using a real file is often faster (but less convenient). - There's also a much faster implementation in C, called cStringIO, but it's not subclassable. The "real file is often faster" line seemed really odd to me: how could writing to disk beat writing to memory? I tried profiling these different cases and got results that contradict these docs, as well as the answer to this question . This other question does explain why cStringIO is slower under some circumstances, though I'm not doing any concatenating here. The test writes a given

I'm using pandas to manage a large array of 8-byte integers. These integers are included as space-delimited elements of a column in a comma-delimited CSV file, and the array size is about 10000x10000. Pandas is able to quickly read the comma-delimited data from the first few columns as a DataFrame, and also quickly store the space-delimited strings in another DataFrame with minimal hassle. The trouble comes when I try to cast transform the table from a single column of space-delimited strings to a DataFrame of 8-bit integers. I have tried the following: intdata = pd.DataFrame(strdata

The code below works when typed manually however when I run the program.py nothing prints. My ultimate goal is to retrieve this data from user pc to create an easy way to recreate shortcuts.... My users somehow lose them lol import smtplib, os, subprocess, sys from string import ascii_uppercase from cStringIO import StringIO data = os.popen(r"dir %userprofile%\desktop\*.lnk* /s/b").read() file = open("testitem.txt", "w") file.write(data) file.close() my_data = dict(zip(ascii_uppercase,open("testitem.txt"))) old_stdout = sys.stdout sys.stdout = mystdout = StringIO() for key, value in my_data