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Extracting specific columns in numpy array
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edited Aug 23 at 10:39
cs95
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Fastest way to replace NAs in a large data.table
... a large data.table , with many missing values scattered throughout its ~200k rows and 200 columns. I would like to re code those NA values to zeros as efficiently as possible.
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Simple regular expression for a decimal with a precision of 2
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408
Valid regex tokens vary by implementation. A generic form is:
[0-9]+(\.[0-9][0-9]?)?
More co...
How to pip install a package with min and max version range?
...to install a package with both a minimum version ( pip install package>=0.2 ) and a maximum version which should never be installed (theoretical api: pip install package<0.3 ).
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Define a lambda expression that raises an Exception
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170
There is more than one way to skin a Python:
y = lambda: (_ for _ in ()).throw(Exception('fooba...
Fastest way to check if a string matches a regexp in ruby?
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104
Starting with Ruby 2.4.0, you may use RegExp#match?:
pattern.match?(string)
Regexp#match? is...
Drop rows with all zeros in pandas data frame
...ere an equivalent function for dropping rows with all columns having value 0?
12 Answers
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Multiple linear regression in Python
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102
sklearn.linear_model.LinearRegression will do it:
from sklearn import linear_model
clf = linea...
How should I validate an e-mail address?
...am", as will org.apache.commons.validator.routines.EmailValidator)
(?:[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*|"(?:[\x01-\x08\x0b\x0c\x0e-\x1f\x21\x23-\x5b\x5d-\x7f]|\\[\x01-\x09\x0b\x0c\x0e-\x7f])*")@(?:(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\.)+[a-z0-9](?:[a-z0-9-]*[a-z0...
How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly
I have a dataframe with ~300K rows and ~40 columns.
I want to find out if any rows contain null values - and put these 'null'-rows into a separate dataframe so that I could explore them easily.
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