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Saving Pandas DataFrame as Excel file

schedule Aug 10, 2023
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To save a Pandas DataFrame as an Excel file, use the DataFrame's to_excel(~) method.

WARNING

Make sure you have the openpyxl library installed - otherwise this will not work.

Saving Pandas DataFrame as Excel file

Consider the following DataFrame:

import pandas as pd
df = pd.DataFrame({"A":[3,4],"B":[5,6]})
df.to_excel("my_excel_file.xlsx")

This will create an Excel spreadsheet file in the same directory as the Python script:

By default, we have an index column as well. Since we did not name the index, this column is called Unnamed.

To remove the redundant Unnamed:0 column, set index=False like so:

df = pd.DataFrame({"A":[3,4],"B":[5,6]})
df.to_excel("my_excel_file.xlsx", index=False)

This would then give us the following:

Saving highlighted DataFrame as Excel file

Suppose we wanted to save a DataFrame with highlighted cells into Excel:

import pandas as pd

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

def highlighter(cell_value):
if cell_value in [3,6]:
return "background-color: yellow"

df_new = df.style.applymap(highlighter)
df_new

This produces the following in Jupyter notebook:

The beauty of the to_excel(~) method is that it preserves highlighting:

df_new.to_excel("my_excel_file.xlsx")

This produces the following Excel sheet:

robocat
Published by Isshin Inada
Edited by 0 others
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