Pandas
keyboard_arrow_down 655 guides
chevron_leftMiscellaneous Cookbook
Adjusting number of rows that are printedAppending DataFrame to an existing CSV fileChecking differences between two indexesChecking if a DataFrame is emptyChecking if a variable is a DataFrameChecking if index is sortedChecking if value exists in IndexChecking memory usage of DataFrameChecking whether a Pandas object is a view or a copyConcatenating a list of DataFramesConverting a DataFrame to a listConverting a DataFrame to a SeriesConverting DataFrame to a list of dictionariesConverting DataFrame to list of tuplesCounting the number of negative valuesCreating a DataFrame using cartesian product of two DataFramesDisplaying DataFrames side by sideDisplaying full non-truncated DataFrame valuesDrawing frequency histogram of DataFrame columnExporting Pandas DataFrame to PostgreSQL tableHighlighting a particular cell of a DataFrameHighlighting DataFrame cell based on valueHow to solve "ValueError: If using all scalar values, you must pass an index"Importing BigQuery table as Pandas DataFramePlotting two columns of DataFramePrinting DataFrame on a single linePrinting DataFrame without indexPrinting DataFrames in tabular formatRandomly splitting DataFrame into multiple DataFrames of equal sizeReducing DataFrame memory sizeSaving a DataFrame as a CSV fileSaving DataFrame as Excel fileSaving DataFrame as feather fileSetting all values to zeroShowing all dtypes without truncationSplitting DataFrame into multiple DataFrames based on valueSplitting DataFrame into smaller equal-sized DataFramesWriting DataFrame to SQLite
check_circle
Mark as learned thumb_up
2
thumb_down
1
chat_bubble_outline
0
Comment auto_stories Bi-column layout
settings
Saving Pandas DataFrame as Excel file
schedule Aug 10, 2023
Last updated local_offer
Tags Python●Pandas
tocTable of Contents
expand_more Master the mathematics behind data science with 100+ top-tier guides
Start your free 7-days trial now!
Start your free 7-days trial now!
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:
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.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
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:
Published by Isshin Inada
Edited by 0 others
Did you find this page useful?
thumb_up
thumb_down
Comment
Citation
Ask a question or leave a feedback...
thumb_up
2
thumb_down
1
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!