How can I partially read a huge CSV file?

Question

I have a very big csv file so that I can not read them all into the memory. I only want to read and process a few lines in it. So I am seeking a function in Pandas which cou

Answer 1

In addition to EdChums answer I find the nrows argument useful which simply defines the number of rows you want to import. Thereby you don't get an iterator but rather can just import a part of the whole file of size nrows. It works with skiprows too.

df = pd.read_csv('matrix.txt',sep=',', header = None, skiprows= 1000, nrows=1000)

Answer 2

Use chunksize:

for df in pd.read_csv('matrix.txt',sep=',', header = None, chunksize=1):
    #do something

To answer your second part do this:

df = pd.read_csv('matrix.txt',sep=',', header = None, skiprows=1000, chunksize=1000)

This will skip the first 1000 rows and then only read the next 1000 rows giving you rows 1000-2000, unclear if you require the end points to be included or not but you can fiddle the numbers to get what you want.