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How do I calculate percentiles with python/numpy?
...centile() is available in numpy too.
import numpy as np
a = np.array([1,2,3,4,5])
p = np.percentile(a, 50) # return 50th percentile, e.g median.
print p
3.0
This ticket leads me to believe they won't be integrating percentile() into numpy anytime soon.
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Need a simple explanation of the inject method
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edited Apr 2 '09 at 16:37
answered Apr 2 '09 at 16:31
Dr...
Numpy: Divide each row by a vector element
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answered Oct 26 '13 at 2:38
JoshAdelJoshAdel
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Best way to iterate through a Perl array
...he array elements occurs. ($_ is aliased to the element in #1, but #2 and #3 actually copy the scalars from the array.)
#5 might be similar.
In terms memory usage: They're all the same except for #5.
for (@a) is special-cased to avoid flattening the array. The loop iterates over the indexes of the...
How can I connect to MySQL in Python 3 on Windows?
I am using ActiveState Python 3 on Windows and wanted to connect to my MySQL database.
I heard that mysqldb was the module to use.
I can't find mysqldb for Python 3.
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What's the correct way to convert bytes to a hex string in Python 3?
What's the correct way to convert bytes to a hex string in Python 3?
9 Answers
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Programmatically obtain the Android API level of a device?
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Vivek
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answered Nov 2 '14 at 11:01
Arkadiusz Cieślińsk...
How to insert element into arrays at specific position?
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23 Answers
23
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Find indices of elements equal to zero in a NumPy array
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numpy.where() is my favorite.
>>> x = numpy.array([1,0,2,0,3,0,4,5,6,7,8])
>>> numpy.where(x == 0)[0]
array([1, 3, 5])
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Operation on every pair of element in a list
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233
Check out product() in the itertools module. It does exactly what you describe.
import iterto...