Assignment in While Loop in Python?

只谈情不闲聊 提交于 2019-11-29 22:03:42

If you aren't doing anything fancier with data, like reading more lines later on, there's always:

for line in data:
    ... do stuff ...

Try this one, works for files opened with open('filename')

for line in iter(data.readline, b''):
dfb

This isn't much better, but this is the way I usually do it. Python doesn't return the value upon variable assignment like other languages (e.g., Java).

line = data.readline()
while line:
    # ... do stuff ... 
    line = data.readline()

Like,

for line in data:
    # ...

? It large depends on the semantics of the data object's readline semantics. If data is a file object, that'll work.

for line in data:
    ... process line somehow....

Will iterate over each line in the file, rather than using a while. It is a much more common idiom for the task of reading a file in my experience (in Python).

In fact, data does not have to be a file but merely provide an iterator.

Starting Python 3.8, and the introduction of assignment expressions (PEP 572) (:= operator), it's now possible to capture the condition value (data.readline()) of the while loop as a variable (line) in order to re-use it within the body of the loop:

while line := data.readline():
  do_smthg(line)

You could do:

line = 1
while line:
    line = data.readline()

If data is a file, as stated in other answers, using for line in file will work fine. If data is not a file, and a random data reading object, then you should implement it as an iterator, implementing __iter__ and next methods.

The next method should to the reading, check if there is more data, and if not, raise StopIteration. If you do this, you can continue using the for line in data idiom.

According to the FAQ from Python's documentation, iterating over the input with for construct or running an infinite while True loop and using break statement to terminate it, are preferred and idiomatic ways of iteration.

If data has a function that returns an iterator instead of readline (say data.iterate), you could simply do:

for line in data.iterate():
    #...
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