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How to pretty-print a numpy.array without scientific notation and with given precision?
...printoptions to set the precision of the output:
import numpy as np
x=np.random.random(10)
print(x)
# [ 0.07837821 0.48002108 0.41274116 0.82993414 0.77610352 0.1023732
# 0.51303098 0.4617183 0.33487207 0.71162095]
np.set_printoptions(precision=3)
print(x)
# [ 0.078 0.48 0.413 0.83 ...
What values should I use for CFBundleVersion and CFBundleShortVersionString?
This is my first iOS app submission and I don't want my app rejected.
7 Answers
7
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Rotating a two-dimensional array in Python
... answered Dec 7 '11 at 19:43
Andrew ClarkAndrew Clark
171k2525 gold badges236236 silver badges278278 bronze badges
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What's the difference between ASCII and Unicode?
What's the exact difference between Unicode and ASCII?
9 Answers
9
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Fastest way to flatten / un-flatten nested JSON objects
I threw some code together to flatten and un-flatten complex/nested JSON objects. It works, but it's a bit slow (triggers the 'long script' warning).
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Computational complexity of Fibonacci Sequence
I understand Big-O notation, but I don't know how to calculate it for many functions. In particular, I've been trying to figure out the computational complexity of the naive version of the Fibonacci sequence:
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Memoization in Haskell?
...f :: Int -> Int
faster_f n = f_list !! n
That performs passably well, and replaces what was going to take O(n^3) time with something that memoizes the intermediate results.
But it still takes linear time just to index to find the memoized answer for mf. This means that results like:
*Main Dat...
Checking if a string can be converted to float in Python
I've got some Python code that runs through a list of strings and converts them to integers or floating point numbers if possible. Doing this for integers is pretty easy
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What do hjust and vjust do when making a plot using ggplot?
...lot using ggplot, I spend a little while trying different values for hjust and vjust in a line like
2 Answers
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How to add an extra column to a NumPy array
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I think a more straightforward solution and faster to boot is to do the following:
import numpy as np
N = 10
a = np.random.rand(N,N)
b = np.zeros((N,N+1))
b[:,:-1] = a
And timings:
In [23]: N = 10
In [24]: a = np.random.rand(N,N)
In [25]: %timeit b = np.hstac...
