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# Highlighting a particular cell of a DataFrame in Pandas

schedule Aug 12, 2023
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local_offer
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To highlight a particular cell of a DataFrame, use the DataFrame's `style.apply(~)` method.

# Example

Consider the following DataFrame:

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

## Solution

To highlight the cell `bA`:

``` import numpy as np# Our custom styling method - this is fired once for each column (Series) of the DataFramedef highlight_cell(col, col_label, row_label): # check if col is a column we want to highlight if col.name == col_label: # a boolean mask where True represents a row we want to highlight mask = (col.index == row_label) # return an array of string styles (e.g. ["", "background-color: yellow"]) return ["background-color: yellow" if val_bool else "" for val_bool in mask] else: # return an array of empty strings that has the same size as col (e.g. ["",""]) return np.full_like(col, "", dtype="str")df.style.apply(highlight_cell, col_label="A", row_label="b") ```

The output is as follows:

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