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Getting rows from a DataFrame based on column values in Pandas
schedule Aug 12, 2023
Last updated local_offer
Tags Python●Pandas
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To get rows from a DataFrame based on column values, use the DataFrame's query(~) method.
Consider the following DataFrame:
df
A Ba 3 6b 4 7c 5 8
Equality
To get all rows where the value for column A equals 4:
A Bb 4 7
For a not-equals query, use != instead
Note that if the value is of type string, then wrap the value in ' or " like so:
Inequality
To get all rows where the value for column A is greater than 3:
A Bb 4 7c 5 8
AND queries
To get all rows where A > 3 and B < 8:
A Bb 4 7
Here, you could use "and" instead of "&" like so:
A Bb 4 7
OR queries
To get all rows where A == 3 or B == 8:
A Ba 3 6b 4 7
Here, you could use "or" instead of "|" like so:
A Ba 3 6b 4 7
For your reference, we show the df again:
df
A Ba 3 6b 4 7c 5 8
Queries with column-comparison
To get all rows where the value for column B is greater than that for column A:
A Ba 3 6b 4 7c 5 8
Queries with arithmetic operations
To get all rows where value for column B equals is based on some function of A:
A Bc 5 8
Published by Isshin Inada
Edited by 0 others
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