For example, CSV files are used to store spreadsheets ... Now you know how to write to a file in Python regardless of the type of file! Of course, some files are going to contain more complex ...

Since the creation of python reading in files has become much easier with each update ... it has the functionality to edit and subset the data along with writing the edited data back to a csv or excel ...

A CSV file is a “comma-separated values” file. In plain English, this is a text file that contains an unusually large amount of data. More often than not, this is used in order to create ...

As a buddy of mine always says "the nice thing about standards is that there's so many to choose from". Take CSV files for example. CSV, of course, stands for "Comma Separated Values", more often than ...

I'd now like to write the result of each simulation to a CSV file. The problem I've noticed is that if I append the file with each of the 100k runs (one at a time), it can happen that two threads ...

Since CSV is a plain text format, it's universally compatible ... ways to analyze and manipulate the data in CSV files; in the case of Python, it's called Pandas. You won't need this unless ...

In addition, you can convert all the sheets in one pass by specifing a %d or a %s format specifier in the output file name: $ python ssconverter.py file1.xls file1-%d.csv $ python ssconverter.py file1 ...