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# Pandas DataFrame | lookup method

schedule Aug 11, 2023
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Pandas `DataFrame.lookup(~)` method extracts individual values from the source DataFrame in a single Numpy Array.

# Parameters

1. `row_labels` | `sequence` of `strings`

The row labels of the values you want to fetch.

2. `col_labels` | `sequence` of `strings`

The column label of the values you want to fetch.

# Return Value

A Numpy array of values.

# Examples

Consider the following DataFrame:

``` df = pd.DataFrame({"A":[5,8],"B":[6,7],"C":[2,9]}, index=["a","b"])df A B Ca 5 6 2b 8 7 9 ```

To fetch the values at `(a,B)` and `(b,C)`:

``` df.lookup(row_labels=["a","b"], col_labels=["B","C"]) array([6, 9]) ```
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