Remove rows in python less than a certain value

Question

^{I feel like this question must have been answered by someone before, but I can’t find an answer on stack overflow!}

I have a dataframe result that looks like this and I want to remove all the values less than or equal to 10

>>> result
                       Name              Value      Date
189                   Sall                19.0  11/14/15
191                     Sam               10.0  11/14/15
192                 Richard               21.0  11/14/15
193                  Ingrid                4.0  11/14/15

This command works and removes all the values that are 10:

df2 = result[result['Value'] != 10]

But when I try to add the <= qualifier I get the error message SyntaxError: invalid syntax

df3 = result[result['Value'] ! <= 10]

I feel like there is probably a really simple solution.

Asked By: JAG2024

||

Source

Answer 1

python doesn’t use ! to negate. It uses not. See this answer
In this particular example != is a two character string that means not equal. It is not the negation of ==.

option 1
This should work unless you have NaN

result[result['Value'] > 10]

option 2
use the unary operator ~ to negate a boolean series

result[~(result['Value'] <= 10)]

Answered By: piRSquared

Answer 2

Instead of this

df3 = result[result['Value'] ! <= 10]

Use

df3 = result[~(result['Value'] <= 10)]

It will work.
OR simply use

df3 = result[result['Value'] > 10]

Answered By: Jay Parikh

Answer 3

I have another suggestion, which could help

df3 = result.drop(result[result['Value'] < 10].index)

Answered By: Ashish Tripathi

Answer 4

There’s also df.query():

result.query('Value > 10')

                       Name              Value      Date
189                   Sall                19.0  11/14/15
191                     Sam               10.0  11/14/15
192                 Richard               21.0  11/14/15

Answered By: Casimir

Remove rows in python less than a certain value

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