How to Read Excel Multiple Sheets in Pandas

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sheet_name param on pandas.read_excel() is used to read multiple sheets from excel. This supports reading excel sheets by name or position. When you read multiple sheets, it creates a Dict of DataFrame, each key in Dictionary is represented as Sheet name and DF for Dict value.

pandas Read Excel Multiple Sheets

sheet_name param also takes a list of sheet names as values that can be used to read multiple sheets into pandas DataFrame. Not that while reading multiple sheets it returns a Dict of DataFrame. The key in Dict is a sheet name and the value would be DataFrame.

This param takes values str, int, list, or None, default 0. When None is used it reads all sheets from excel. By default, it is set to 0 meaning the first sheet.

Let’s see with an example, I have an excel file with two sheets named 'Technologies' and 'Schedule'.

import pandas as pd

# Read excel file with sheet name
dict_df = pd.read_excel('c:/apps/courses_schedule.xlsx', 

Since we are reading two sheets from excel, this function returns Dict of DataFrame. You can get the DataFrames from Dict as follows.

# Get DataFrame from Dict
technologies_df = dict_df .get('Technologies')
schedule_df = df.get('Schedule')

# Print DataFrame's

The 'Technologies' sheet is converted into DataFrame as follows. Note that empty values are converted into NaN on DataFrame.

# Output:
  Courses    Fee Duration  Discount
0   Spark  25000  50 Days      2000
1  Pandas  20000  35 Days      1000
2    Java  15000      NaN       800
3  Python  15000  30 Days       500
4     PHP  18000  30 Days       800

And the 'Schedule' sheet is converted into DataFrame as follows.

# Output:
  Courses      Days                 Time
0   Spark  MON, THU   7:00 AM to 9:00 AM
1  Pandas  MON, WED  8:00 AM to 10:00 AM
2    Java  WEN, FRI   7:00 PM to 9:00 PM
3  Python  TUE, THU   6:00 PM to 8:00 PM
4     PHP  WEN, THU  8:00 AM to 10:00 AM


In this article, you have learned how to read an excel with multiple sheets and convert it to pandas DataFrame. Since it returns a Dict of DataFrame, you have also learned how to get each DF from the dict.

Happy Learning !!

Naveen (NNK)

I am Naveen (NNK) working as a Principal Engineer. I am a seasoned Apache Spark Engineer with a passion for harnessing the power of big data and distributed computing to drive innovation and deliver data-driven insights. I love to design, optimize, and managing Apache Spark-based solutions that transform raw data into actionable intelligence. I am also passion about sharing my knowledge in Apache Spark, Hive, PySpark, R etc.

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