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Efficient way to apply multiple filters to pandas DataFrame or Series
...['col1'] >= 1]
Out[12]:
col1 col2
1 1 11
2 2 12
In [13]: df[(df['col1'] >= 1) & (df['col1'] <=1 )]
Out[13]:
col1 col2
1 1 11
If you want to write helper functions for this, consider something along these lines:
In [14]: def b(x, col, op, n):
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Foreign Key to non-primary key
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answered Aug 26 '13 at 0:36
Ian PrestonIan Preston
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CSS media queries: max-width OR max-height
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edited Aug 2 '13 at 11:51
answered Jul 9 '12 at 23:40
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What's with 181783497276652981 and 8682522807148012 in Random (Java 7)?
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answered Aug 7 '13 at 10:14
Thomas B.Thomas B.
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Expand Python Search Path to Other Source
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edited Aug 28 '19 at 13:41
Oleg Kokorin
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answere...
Difference between rake db:migrate db:reset and db:schema:load
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1328
db:migrate runs (single) migrations that have not run yet.
db:create creates the database
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Forking vs. Branching in GitHub
...VonC
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Should accessing SharedPreferences be done off the UI Thread?
...runk/examples/…)
– tony m
May 18 '13 at 12:05
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Is this still relevant on ICS\JB?
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Why do I need 'b' to encode a string with Base64?
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Lennart RegebroLennart Regebro
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Why does casting int to invalid enum value NOT throw exception?
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StriplingWarriorStriplingWarrior
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