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Efficient way to apply multiple filters to pandas DataFrame or Series
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In [15]: def f(x, *b):
return x[(np.logical_and(*b))]
In [16]: b1 = b(df, 'col1', ge, 1)
In [17]: b2 = b(df, 'col1', le, 1)
In [18]: f(df, b1, b2)
Out[18]:
col1 col2
1 1 11
Update: pandas 0.13 has a query method for these kind of use cases, assuming column names are ...
XSLT getting last element
...d XSLT as a plague :D
– Nik
Jan 29 '16 at 23:02
3
XSLT is beautiful... if you're living in an XML...
Giving UIView rounded corners
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edited Jun 16 '17 at 20:51
Fattie
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How can I do SELECT UNIQUE with LINQ?
... James CurranJames Curran
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How to define a two-dimensional array?
... user3728501
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answered Jul 12 '11 at 15:59
Manny DManny D
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How to properly handle a gzipped page when using curl?
...figure.
– George Lund
Feb 21 '13 at 16:37
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what is the use of xsi:schemaLocation?
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edited Dec 19 '16 at 16:03
rogerdpack
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How can I drop all the tables in a PostgreSQL database?
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edited Oct 19 '16 at 9:45
biniam
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answ...
Compare dates in MySQL
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edited May 21 '11 at 16:45
Tadeck
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answ...
Preserve colouring after piping grep to grep
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165
grep sometimes disables the color output, for example when writing to a pipe. You can override...