In an CSV
file with python we can read all the file line by line or row by row , I want to read specific line (line number 24 example ) without reading all the file and all the lines.
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Mazdak
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user3967257
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possible duplicate of [Start reading and writing on specific line on CSV with Python](http://stackoverflow.com/questions/11618207/start-reading-and-writing-on-specific-line-on-csv-with-python) – GhitaB Jun 21 '15 at 11:59
2 Answers
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You can use linecache.getline:
linecache.getline(filename, lineno[, module_globals])
Get line lineno from file named filename. This function will never raise an exception — it will return '' on errors (the terminating newline character will be included for lines that are found).
import linecache
line = linecache.getline("foo.csv",24)
Or use the consume recipe from itertools to move the pointer:
import collections
from itertools import islice
def consume(iterator, n):
"Advance the iterator n-steps ahead. If n is none, consume entirely."
# Use functions that consume iterators at C speed.
if n is None:
# feed the entire iterator into a zero-length deque
collections.deque(iterator, maxlen=0)
else:
# advance to the empty slice starting at position n
next(islice(iterator, n, n), None)
with open("foo.csv") as f:
consume(f,23)
line = next(f)

Padraic Cunningham
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@xtofl, a file object is its own iterator, when you `for line in f:...`, next is repeatedly called – Padraic Cunningham Jun 21 '15 at 12:12
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1and to start the reading from a specific line and not from the beginning? it workwith simply consume(f,X) and increment the X each time (initialize the X on the desired position), thanks for your usefull answer :) – user3967257 Jun 21 '15 at 12:37
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@user3967257, use the consume recipe if you want to start from a certain line, the second arg to consume is the amount of lines to consume then just `for line in f...` to read the rest of the lines. – Padraic Cunningham Jun 21 '15 at 12:40
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0
Alternatively you can leverage the nrows
and skiprows
argument in pandas
line_number = 30
pd.read_csv('big.csv.gz', sep = "\t", nrows = 1, skiprows = line_number - 1)
remember skiprows
can be a list so if you need the header use
pd.read_csv('big.csv.gz', sep = "\t", nrows = 1, skiprows = list(range(1, line_number - 1)))

Areza
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