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Normalize data in pandas
...
226
In [92]: df
Out[92]:
a b c d
A -0.488816 0.863769 4.32...
Understanding dict.copy() - shallow or deep?
...pied by value, but just creating a new reference.
>>> a = {1: [1,2,3]}
>>> b = a.copy()
>>> a, b
({1: [1, 2, 3]}, {1: [1, 2, 3]})
>>> a[1].append(4)
>>> a, b
({1: [1, 2, 3, 4]}, {1: [1, 2, 3, 4]})
In contrast, a deep copy will copy all contents by valu...
Element-wise addition of 2 lists?
...t;>> from operator import add
>>> list( map(add, list1, list2) )
[5, 7, 9]
or zip with a list comprehension:
>>> [sum(x) for x in zip(list1, list2)]
[5, 7, 9]
Timing comparisons:
>>> list2 = [4, 5, 6]*10**5
>>> list1 = [1, 2, 3]*10**5
>>> %tim...
What is the bower (and npm) version syntax?
...
342
In a nutshell, the syntax for Bower version numbers (and NPM's) is called SemVer, which is short...
What is the most efficient way of finding all the factors of a number in Python?
...n to me an efficient way of finding all the factors of a number in Python (2.7)?
22 Answers
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Counting the number of elements with the values of x in a vector
...
521
You can just use table():
> a <- table(numbers)
> a
numbers
4 5 23 34 43 54 ...
Deep copy of a dict in python
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502
How about:
import copy
d = { ... }
d2 = copy.deepcopy(d)
Python 2 or 3:
Python 3.2 (r32:8844...
How can I plot separate Pandas DataFrames as subplots?
...
264
You can manually create the subplots with matplotlib, and then plot the dataframes on a specif...