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How should I read a file line-by-line in Python?

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How do I read a file line by line?

Java Read File line by line using BufferedReader We can use java.io.BufferedReader readLine() method to read file line by line to String. This method returns null when end of file is reached.

Which function will read from a file line by line in Python?

Read a File Line-by-Line in Python The readline() method helps to read just one line at a time, and it returns the first line from the file given. Here, we will make use of readline() to read all the lines from the file given. The file that will read is demo. txt.

Does Python read line by line?

The readline () method reads the text line by line.


There is exactly one reason why the following is preferred:

with open('filename.txt') as fp:
    for line in fp:
        print line

We are all spoiled by CPython's relatively deterministic reference-counting scheme for garbage collection. Other, hypothetical implementations of Python will not necessarily close the file "quickly enough" without the with block if they use some other scheme to reclaim memory.

In such an implementation, you might get a "too many files open" error from the OS if your code opens files faster than the garbage collector calls finalizers on orphaned file handles. The usual workaround is to trigger the GC immediately, but this is a nasty hack and it has to be done by every function that could encounter the error, including those in libraries. What a nightmare.

Or you could just use the with block.

Bonus Question

(Stop reading now if are only interested in the objective aspects of the question.)

Why isn't that included in the iterator protocol for file objects?

This is a subjective question about API design, so I have a subjective answer in two parts.

On a gut level, this feels wrong, because it makes iterator protocol do two separate things—iterate over lines and close the file handle—and it's often a bad idea to make a simple-looking function do two actions. In this case, it feels especially bad because iterators relate in a quasi-functional, value-based way to the contents of a file, but managing file handles is a completely separate task. Squashing both, invisibly, into one action, is surprising to humans who read the code and makes it more difficult to reason about program behavior.

Other languages have essentially come to the same conclusion. Haskell briefly flirted with so-called "lazy IO" which allows you to iterate over a file and have it automatically closed when you get to the end of the stream, but it's almost universally discouraged to use lazy IO in Haskell these days, and Haskell users have mostly moved to more explicit resource management like Conduit which behaves more like the with block in Python.

On a technical level, there are some things you may want to do with a file handle in Python which would not work as well if iteration closed the file handle. For example, suppose I need to iterate over the file twice:

with open('filename.txt') as fp:
    for line in fp:
        ...
    fp.seek(0)
    for line in fp:
        ...

While this is a less common use case, consider the fact that I might have just added the three lines of code at the bottom to an existing code base which originally had the top three lines. If iteration closed the file, I wouldn't be able to do that. So keeping iteration and resource management separate makes it easier to compose chunks of code into a larger, working Python program.

Composability is one of the most important usability features of a language or API.


Yes,

with open('filename.txt') as fp:
    for line in fp:
        print line

is the way to go.

It is not more verbose. It is more safe.


if you're turned off by the extra line, you can use a wrapper function like so:

def with_iter(iterable):
    with iterable as iter:
        for item in iter:
            yield item

for line in with_iter(open('...')):
    ...

in Python 3.3, the yield from statement would make this even shorter:

def with_iter(iterable):
    with iterable as iter:
        yield from iter