{ "componentChunkName": "component---src-templates-blog-post-js", "path": "/writing-excel-files-using-pandas/", "result": {"data":{"markdownRemark":{"html":"
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Writing a single DataFrame

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We can write a DataFrame to an Excel file using the to_excel method. We can pass a value to the sheet_name parameter to name the worksheet inside the workbook.

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Example:

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import pandas as pd\n\nseasons = pd.DataFrame(["Spring Summer", "Autumn Winter"])\n\nseasons.to_excel("retail_season.xlsx", sheet_name="seasons", index=False)
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Executing the code snippet above creates a file named retail-season.xlsx.

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Inside the retail-season.xlsx file, we have a worksheet named seasons.

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Writing multiple DataFrames

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We can write more than one DataFrame to a single Excel file (each DataFrame object on a separate worksheet) using the ExcelWriter object along with the with keyword.

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In the code snippet below, we write two DataFrame objects (zones & lines) to two different worksheets(zones & lines) in one Excel file:

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import pandas as pd\n\nzones = pd.DataFrame(["East", "West", "North", "South"])\nlines = pd.DataFrame(["Menswear", "Womenswear", "Kidswear", "Accessories"])\n\nwith pd.ExcelWriter("retail.xlsx") as writer:\n    zones.to_excel(writer, sheet_name="zones", index=False)\n    lines.to_excel(writer, sheet_name="lines", index=False)
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Executing the code snippet above creates a file named retail.xlsx.

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Inside retail.xlsx, we have two worksheets: zones & lines

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\n","frontmatter":{"title":"Writing Excel Files Using Pandas","date":"2021-08-06"}}},"pageContext":{"slug":"/writing-excel-files-using-pandas/","prev":{"fields":{"slug":"/selecting-and-adding-columns-to-a-dataframe-in-pandas/"},"frontmatter":{"modules":null}},"next":{"fields":{"slug":"/reading-excel-files-using-pandas/"},"frontmatter":{"modules":null}}}}, "staticQueryHashes": ["3159585216"]}