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Getting key with maximum value in dictionary?
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You can use operator.itemgetter for that:
import operator
stats = {'a':1000, 'b':3000, 'c': 100}
max(stats.iteritems(), key=operator.itemgetter(1))[0]
And instead of building a new list in memory use stats.iteritems(). The key parameter to the max() function is a function that computes a key th...
Position of least significant bit that is set
... position of the least significant bit that is set in an integer, e.g. for 0x0FF0 it would be 4.
22 Answers
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How to convert a boolean array to an int array
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answered Jul 6 '13 at 19:10
BrenBarnBrenBarn
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How do I check if there are duplicates in a flat list?
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406
Use set() to remove duplicates if all values are hashable:
>>> your_list = ['one', 't...
How to hide first section header in UITableView (grouped style)
...hat seems reasonably clean to me. So I'm answering my own question.
Since 0 as the first section header's height doesn't work, I return 1. Then I use the contentInset to hide that height underneath the navigation bar.
Objective-C:
- (CGFloat) tableView:(UITableView *)tableView heightForHeaderInSe...
How to format an inline code in Confluence?
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605
To insert inline monospace font in Confluence, surround the text in double curly-braces.
This ...
Why is === faster than == in PHP?
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202
Because the equality operator == coerces, or converts, the data type temporarily to see if it...
Opacity of background-color, but not the text [duplicate]
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601
Use rgba!
.alpha60 {
/* Fallback for web browsers that don't support RGBa */
backgroun...
CSS transition shorthand with multiple properties?
...ransitions combined in shorthand declarations:
-webkit-transition: height 0.3s ease-out, opacity 0.3s ease 0.5s;
-moz-transition: height 0.3s ease-out, opacity 0.3s ease 0.5s;
-o-transition: height 0.3s ease-out, opacity 0.3s ease 0.5s;
transition: height 0.3s ease-out, opacity 0.3s ease 0.5s;
Or...
How can I obtain the element-wise logical NOT of a pandas Series?
...~s:
In [7]: s = pd.Series([True, True, False, True])
In [8]: ~s
Out[8]:
0 False
1 False
2 True
3 False
dtype: bool
Using Python2.7, NumPy 1.8.0, Pandas 0.13.1:
In [119]: s = pd.Series([True, True, False, True]*10000)
In [10]: %timeit np.invert(s)
10000 loops, best of 3: 91.8 µs...