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# Reassigning column values in Pandas DataFrame

schedule Aug 12, 2023
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# Reassigning entire column value

Consider the following DataFrame:

``` df = pd.DataFrame({"A":[3,4], "B":[5,6]})df A B0 3 51 4 6 ```

## Using an array

To reassign the values of column `B`:

``` df["B"] = [8,9]df A B0 3 81 4 9 ```

## Using a constant

You could also assign a scalar to get a column of constants:

``` df["B"] = 7df A B0 3 71 4 7 ```

# Replacing individual values

Consider the following DataFrame:

``` df = pd.DataFrame({"A":[3,4], "B":[5,6]})df A B0 3 51 4 6 ```

To replace individual values in a column, use the `replace(~)` method like so:

``` df["B"].replace(5, 8, inplace=True)df A B0 3 81 4 6 ```

Here, `inplace=True` means that we directly modify column `B` instead of creating and returning a new column.

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