read_excel() requires an additional library installed under the hood, typically openpyxl for .xlsx files, to actually parse the Excel binary format, unlike read_csv(), which only needs to parse plain text. The sheet_name parameter selects which sheet to read — by index, 0 for the first sheet, the default, by name, a string, or, passing None, reads every sheet at once into a dict of DataFrames keyed by sheet name. Since Excel files can contain formatting, merged cells, and formulas, read_excel() reads the calculated values, not the underlying formulas themselves.
1Understanding pd.read_excel()
read_excel() requires an additional library installed under the hood, typically openpyxl for .xlsx files, to actually parse the Excel binary format, unlike read_csv(), which only needs to parse plain text. The sheet_name parameter selects which sheet to read — by index, 0 for the first sheet, the default, by name, a string, or, passing None, reads every sheet at once into a dict of DataFrames keyed by sheet name. Since Excel files can contain formatting, merged cells, and formulas, read_excel() reads the calculated values, not the underlying formulas themselves.
Pass sheet_name=None to read_excel() to load every sheet in the workbook at once into a dict of DataFrames, keyed by sheet name, instead of calling read_excel() separately for each sheet you need.
import pandas as pd
df = pd.read_excel("report.xlsx", sheet_name="Q1")
print(df.shape)2Practical Example
Here is a real-world application of pd.read_excel() showing how it is used in production Pandas code.
import pandas as pd
all_sheets = pd.read_excel("report.xlsx", sheet_name=None)
print(list(all_sheets.keys()))3Best Practices
Follow these guidelines when working with pd.read_excel():
1. Specify sheet_name explicitly, by name or index, rather than relying on the default first-sheet behavior, for clarity and to avoid surprises if the sheet order changes
2. Install the appropriate optional engine, like openpyxl, ahead of time, since read_excel() depends on it and fails with an import error otherwise
3. Use sheet_name=None when you need to process every sheet in a workbook, to avoid a separate read_excel() call per sheet
Tip: Pass sheet_name=None to read_excel() to load every sheet in the workbook at once into a dict of DataFrames, keyed by sheet name, instead of calling read_excel() separately for each sheet you need.
import pandas as pd
df = pd.read_excel("report.xlsx", sheet_name="Q1")
print(df.shape)