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Highlighting a particular cell of a DataFrame in Pandas

schedule Aug 12, 2023
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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 B
a 3 5
b 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 DataFrame
def 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:

robocat
Published by Isshin Inada
Edited by 0 others
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