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Pandas: create two new columns in a dataframe with values calculated from a pre-existing column
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I'd just use zip:
In [1]: from pandas import *
In [2]: def calculate(x):
...: return x*2, x*3
...:
In [3]: df = DataFrame({'a': [1,2,3], 'b': [2,3,4]})
In [4]: df
Out[4]:
a b
0 1 2
1 2 3
2 3 4
In [5]: df["A1"], ...
How does zip(*[iter(s)]*n) work in Python?
How does zip(*[iter(s)]*n) work? What would it look like if it was written with more verbose code?
6 Answers
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Regex lookahead for 'not followed by' in grep
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How do I ignore the initial load when watching model changes in AngularJS?
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set a flag just before the initial load,
var initializing = true
and then when the first $watch fires, do
$scope.$watch('fieldcontainer', function() {
if (initializing) {
$timeout(function() { initializing = false; });
} else {
// do whatever you were going to d...
What is the right way to override a setter method in Ruby on Rails?
...rince
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9
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How can I obtain the element-wise logical NOT of a pandas Series?
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How to use > in an xargs command?
...ath
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REST response code for invalid data
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Insert Unicode character into JavaScript
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4
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How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly
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