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Python list iterator behavior and next(iterator)
...e(10)))
>>> for i in a:
... print(i)
... next(a)
...
0
1
2
3
4
5
6
7
8
9
So 0 is the output of print(i), 1 the return value from next(), echoed by the interactive interpreter, etc. There are just 5 iterations, each iteration resulting in 2 lines being written to the terminal.
If y...
How is “int* ptr = int()” value initialization not illegal?
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3
+1, the constant expression bit is important and missing from the top-2 upvoted answers.
– David Rodríguez - dribeas
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How to sort a dataFrame in python pandas by two or more columns?
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3 Answers
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Active
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How do you know when to use fold-left and when to use fold-right?
... you use a left fold. Example (haskell-style pseudocode)
foldl (-) [1, 2, 3] == (1 - 2) - 3 == 1 - 2 - 3 // - is left-associative
If your operator is right-associative (right fold), the parentheses would be set like this:
A x (B x (C x D))
Example: Cons-Operator
foldr (:) [] [1, 2, 3] == 1 : ...
Moving matplotlib legend outside of the axis makes it cutoff by the figure box
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3 Answers
3
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Javascript and regex: split string and keep the separator
...1
JonJon
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IIS7 deployment - duplicate 'system.web.extensions/scripting/scriptResourceHandler' section
On attempting to deploy a .net 3.5 website on the default app pool in IIS7 having the framework section set to 4.0, I get the following error.
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What is the most efficient way to create a dictionary of two pandas Dataframe columns?
...ies(df.Letter.values,index=df.Position).to_dict()
Out[9]: {1: 'a', 2: 'b', 3: 'c', 4: 'd', 5: 'e'}
Speed comparion (using Wouter's method)
In [6]: df = pd.DataFrame(randint(0,10,10000).reshape(5000,2),columns=list('AB'))
In [7]: %timeit dict(zip(df.A,df.B))
1000 loops, best of 3: 1.27 ms per loo...
Adding an arbitrary line to a matplotlib plot in ipython notebook
...matplotlib.pyplot as plt
np.random.seed(5)
x = np.arange(1, 101)
y = 20 + 3 * x + np.random.normal(0, 60, 100)
plt.plot(x, y, "o")
# draw vertical line from (70,100) to (70, 250)
plt.plot([70, 70], [100, 250], 'k-', lw=2)
# draw diagonal line from (70, 90) to (90, 200)
plt.plot([70, 90], [90, 20...