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# Getting maximum value of entire DataFrame in Pandas

schedule Aug 12, 2023
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local_offer
PythonPandas
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Consider the following DataFrame:

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

# Solution

To get the maximum value of entire DataFrame:

``` df.max().max() 6 ```

# Explanation

Unfortunately, DataFrame's `max()` method only allows you to compute the maximum of either each row or each column.

The solution involves first computing the maximum of each column of `df`:

``` df.max() # returns a Series A 4B 6dtype: int64 ```

We then call the Series' `max()` method, which would give us the maximum value of the entire DataFrame:

``` df.max().max() 6 ```
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