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dropping infinite values from dataframes in pandas?
...nf, -np.inf])
In [12]: df.replace([np.inf, -np.inf], np.nan)
Out[12]:
0
0 1
1 2
2 NaN
3 NaN
The same method would work for a Series.
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How to determine the longest increasing subsequence using dynamic programming?
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407
OK, I will describe first the simplest solution which is O(N^2), where N is the size of the col...
How to round a number to significant figures in Python
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20 Answers
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How do I get indices of N maximum values in a NumPy array?
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edited Aug 2 '11 at 10:45
answered Aug 2 '11 at 10:32
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Converting numpy dtypes to native python types
...py as np
# for example, numpy.float32 -> python float
val = np.float32(0)
pyval = val.item()
print(type(pyval)) # <class 'float'>
# and similar...
type(np.float64(0).item()) # <class 'float'>
type(np.uint32(0).item()) # <class 'long'>
type(np.int16(0).item()) # <...
How does numpy.histogram() work?
...qual width) of each bar.
In this example:
np.histogram([1, 2, 1], bins=[0, 1, 2, 3])
There are 3 bins, for values ranging from 0 to 1 (excl 1.), 1 to 2 (excl. 2) and 2 to 3 (incl. 3), respectively. The way Numpy defines these bins if by giving a list of delimiters ([0, 1, 2, 3]) in this example...
Why is SSE scalar sqrt(x) slower than rsqrt(x) * x?
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edited Oct 7 '09 at 0:02
answered Oct 6 '09 at 23:52
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Change select box option background color
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10 Answers
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How can I create a two dimensional array in JavaScript?
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50 Answers
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Is R's apply family more than syntactic sugar?
... n < 2 ) n
+ else fibo(n-1) + fibo(n-2)
+ }
> system.time(for(i in 0:26) fibo(i))
user system elapsed
7.48 0.00 7.52
> system.time(sapply(0:26, fibo))
user system elapsed
7.50 0.00 7.54
> system.time(lapply(0:26, fibo))
user system elapsed
7.48 ...