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best way to preserve numpy arrays on disk
...t way to preserve large numpy arrays. I want to save them to the disk in a binary format, then read them back into memory relatively fastly. cPickle is not fast enough, unfortunately.
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CMake: How to build external projects and include their targets
I have a Project A that exports a static library as a target:
5 Answers
5
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get list of pandas dataframe columns based on data type
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If you want a list of columns of a certain type, you can use groupby:
>>> df = pd.DataFrame([[1, 2.3456, 'c', 'd', 78]], columns=list("ABCDE"))
>>> df
A B C D E
0 1 2.3456 c d 78
[1 rows x 5 columns]
>>> df.dtypes
A int64
B float64
C ...
Highlight a word with jQuery
I basically need to highlight a particular word in a block of text. For example, pretend I wanted to highlight the word "dolor" in this text:
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Difference between string object and string literal [duplicate]
What is the difference between
13 Answers
13
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Constructors in Go
I have a struct and I would like it to be initialised with some sensible default values.
11 Answers
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How to find the statistical mode?
...o what you'd expect. mode() tells you the internal storage mode of the object, not the value that occurs the most in its argument. But is there is a standard library function that implements the statistical mode for a vector (or list)?
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Getting key with maximum value in dictionary?
...can use operator.itemgetter for that:
import operator
stats = {'a':1000, 'b':3000, 'c': 100}
max(stats.iteritems(), key=operator.itemgetter(1))[0]
And instead of building a new list in memory use stats.iteritems(). The key parameter to the max() function is a function that computes a key that is ...
How to render a PDF file in Android
Android does not have PDF support in its libraries. Is there any way to render PDF files in the Android applications?
9 Ans...
Array include any value from another array?
...ne said in comments, & works in linear time while any? + include? will be quadratic. For larger sets of data, linear time will be faster. For small data sets, any? + include? may be faster as shown by Lee Jarvis' answer -- probably because & allocates a new Array while another solution does ...