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numpy: most efficient frequency counts for unique values in an array
...ence/generated/numpy.bincount.html
import numpy as np
x = np.array([1,1,1,2,2,2,5,25,1,1])
y = np.bincount(x)
ii = np.nonzero(y)[0]
And then:
zip(ii,y[ii])
# [(1, 5), (2, 3), (5, 1), (25, 1)]
or:
np.vstack((ii,y[ii])).T
# array([[ 1, 5],
[ 2, 3],
[ 5, 1],
[25, ...
Definitive way to trigger keypress events with jQuery
...會功夫
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answered May 6 '09 at 22:31
Nadia AlramliNadia Alramli
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C library function to perform sort
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120
qsort() is the function you're looking for. You call it with a pointer to your array of data, t...
Finding all possible permutations of a given string in python
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24 Answers
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Passing arrays as url parameter
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220
There is a very simple solution: http_build_query(). It takes your query parameters as an asso...
Open Sublime Text from Terminal in macOS
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26 Answers
26
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Is there a CSS selector for elements containing certain text?
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Dean JDean J
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Get an object's class name at runtime
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answered Apr 15 '16 at 9:21
Mikael CouzicMikael Couzic
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How do you add an array to another array in Ruby and not end up with a multi-dimensional result?
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728
You've got a workable idea, but the #flatten! is in the wrong place -- it flattens its receiver...
get list from pandas dataframe column
...st it with list(x).
import pandas as pd
data_dict = {'one': pd.Series([1, 2, 3], index=['a', 'b', 'c']),
'two': pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])}
df = pd.DataFrame(data_dict)
print(f"DataFrame:\n{df}\n")
print(f"column types:\n{df.dtypes}")
col_one_list = df['one'...
