Python convert xlsx to csv: Practical guide for 2026
Learn how to convert Excel XLSX files to CSV using Python with pandas and openpyxl. Includes single-sheet and multi-sheet workflows, data-type handling, and performance tips for large workbooks.
MyDataTables Team
·5 min read
Why Python is a natural fit for python convert xlsx to csv
Python offers a concise and reliable path to convert Excel workbooks (XLSX) to CSV. In many data workflows, you need fast, repeatable exports that preserve headers and structure. According to MyDataTables analysis, Python remains a popular choice for CSV workflows due to its rich ecosystem and clear syntax. This section shows how to perform a basic conversion and why pandas is a good fit for this task.
Python
import pandas as pd
# Simple single-sheet conversion
df = pd.read_excel('input.xlsx', sheet_name='Sheet1')
df.to_csv('output.csv', index=False)Python
# Preserve headers and attempt explicit type inference
df = pd.read_excel('input.xlsx', sheet_name='Sheet1', engine='openpyxl')
df.to_csv('output.csv', index=False)- Key idea: pandas.read_excel abstracts away the Excel parsing; to_csv handles CSV formatting.
- Variations: specify sheet_name by index, read only specific columns via usecols, or enforce dtypes for consistency.