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How to format numbers? [duplicate]
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MichaelMichael
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in_array multiple values
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answered Sep 24 '11 at 23:51
Mark ElliotMark Elliot
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[] and {} vs list() and dict(), which is better?
...gt;> from timeit import timeit
>>> timeit("[]")
0.040084982867934334
>>> timeit("list()")
0.17704233359267718
>>> timeit("{}")
0.033620194745424214
>>> timeit("dict()")
0.1821558326547077
and for non-empty:
>>> timeit("[1,2,3]")
0.24316302770330367
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using awk with column value conditions
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132
If you're looking for a particular string, put quotes around it:
awk '$1 == "findtext" {print ...
Cost of len() function
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360
It's O(1) (constant time, not depending of actual length of the element - very fast) on every ...
How to count the number of occurrences of an element in a List
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341
I'm pretty sure the static frequency-method in Collections would come in handy here:
int occu...
How can I convert a dictionary into a list of tuples?
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363
>>> d = { 'a': 1, 'b': 2, 'c': 3 }
>>> d.items()
[('a', 1), ('c', 3), ('b', ...
Change the name of a key in dictionary
...elete dictionary[old_key].
>>> dictionary = { 1: 'one', 2:'two', 3:'three' }
>>> dictionary['ONE'] = dictionary.pop(1)
>>> dictionary
{2: 'two', 3: 'three', 'ONE': 'one'}
>>> dictionary['ONE'] = dictionary.pop(1)
Traceback (most recent call last):
File "<inp...
What is the Python 3 equivalent of “python -m SimpleHTTPServer”
What is the Python 3 equivalent of python -m SimpleHTTPServer ?
5 Answers
5
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How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly
I have a dataframe with ~300K rows and ~40 columns.
I want to find out if any rows contain null values - and put these 'null'-rows into a separate dataframe so that I could explore them easily.
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