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Modifying rows of a Pandas DataFrame

schedule Aug 12, 2023
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To modify a row of a Pandas DataFrame, either use the DataFrame's `loc` or `iloc` property.

Consider the following DataFrame:

``` df = pd.DataFrame({"A":[3,4], "B":[5,6]}, index=["a","b"])df A Ba 3 5b 4 6 ```

Modifying a single row

Using row labels

To change a row using row labels, use `loc` like so:

``` df.loc["b"] = [8,9]df A Ba 3 5b 8 9 ```

Using integer indices

To change a row using integer indices, use `iloc` like so:

``` df.iloc[0] = [8,9]df A Ba 8 9b 4 6 ```

Modifying multiple rows

Consider the following DataFrame:

``` df = pd.DataFrame({"A":[3,4], "B":[5,6]}, index=["a","b"])df A Ba 3 5b 4 6 ```

Using row labels

To change multiple rows using row labels:

``` df.loc[["a","b"]] = [[10,11],[12,13]]df A Ba 10 11b 12 13 ```

Using integer indices

To change multiple rows using integer indices:

``` df.iloc[[0,1]] = [[10,11],[12,13]]df A Ba 10 11b 12 13 ```
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