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Implementing slicing in __getitem__
...ing builtins types like list or tuple you must implements __getslice__ for python 2.X versions. see docs.python.org/2/reference/datamodel.html#object.__getslice__
– gregorySalvan
Aug 28 '14 at 5:17
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How to extract the n-th elements from a list of tuples?
... *list in arguments to create a parameter list for a function...
Note: In Python3, zip returns an iterator, so instead use list(zip(*elements)) to return a list of tuples.
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Why do I get TypeError: can't multiply sequence by non-int of type 'float'?
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raw_input returns a string (a sequence of characters). In Python, multiplying a string and a float makes no defined meaning (while multiplying a string and an integer has a meaning: "AB" * 3 is "ABABAB"; how much is "L" * 3.14 ? Please do not reply "LLL|"). You need to parse the str...
Python Pandas: Get index of rows which column matches certain value
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Get path from open file in Python
...g with it, then you can do that in the following conventional way using os Python module.
>>> import os
>>> f = open('/Users/Desktop/febROSTER2012.xls')
>>> os.path.dirname(f.name)
>>> '/Users/Desktop/'
This way you can get hold of the directory structure.
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Add up a column of numbers at the Unix shell
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python3 -c"import os; print(sum(os.path.getsize(f) for f in open('files.txt').read().split()))"
Or if you just want to sum the numbers, pipe into:
python3 -c"import sys; print(sum(int(x) for x in sys.stdin))"
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python pandas: apply a function with arguments to a series
I want to apply a function with arguments to a series in python pandas:
4 Answers
4
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How can strings be concatenated?
How to concatenate strings in python?
7 Answers
7
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What is the difference between NULL, '\0' and 0?
...).
References
See Question 5.3 of the comp.lang.c FAQ for more.
See this pdf for the C standard. Check out sections 6.3.2.3 Pointers, paragraph 3.
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Filter dict to contain only certain keys?
...Uses dictionary comprehension.
If you use a version which lacks them (ie Python 2.6 and earlier), make it dict((your_key, old_dict[your_key]) for ...). It's the same, though uglier.
Note that this, unlike jnnnnn's version, has stable performance (depends only on number of your_keys) for old_dicts...