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# Selecting rows from a Pandas DataFrame whose column values are NOT contained in a list

*schedule*Aug 10, 2023

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To select rows from a Pandas DataFrame whose column values are not contained in a list, use the DataFrame's `query(~)`

method or `isin(~)`

method.

# Examples

## Query method

Consider the following DataFrame:

```
df
A B0 cc d1 cc d2 cC d3 CC d
```

To get all rows where the value for column `A`

is not in `arr`

:

```
arr = ["cc","CC"]
A B2 cC d
```

Here, the `arr`

is prefixed with `@`

since it is an external variable.

## Isin method

Consider the following DataFrame:

```
df
A B0 cc d1 cc d2 cC d3 CC d
```

To get all rows where the value for column `A`

is not in `arr`

:

```
arr = ["cc","CC"]
A B2 cC d
```

NOTE

We use the invert (`~`

) operator which acts like a not, in order to retrieve the rows where the value is not contained within `arr`

.

Published by Isshin Inada

Edited by 0 others

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