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# Computing the average of columns in Pandas DataFrame

schedule Aug 11, 2023
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To compute the average of columns in Pandas DataFrame, use the `mean(~)` method.

As an example, consider the following DataFrame:

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

# Computing the average of a single column

To compute the average of column `A`:

``` df["A"].mean() 3.5 ```

# Computing the average of multiple columns

To compute the average of columns `A` and `B` individually:

``` df[["A","B"]].mean() A 3.5B 5.5dtype: float64 ```

Here, we are first extracting columns `A` and `B` as a DataFrame.

# Computing the average of each column

To compute the average of each column:

``` df.mean() A 3.5B 5.5dtype: float64 ```
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